Quick introduction for artificial intelligence / deep learning applications in fashion, beauty and creative industries.
Alternative download link: https://dl.dropboxusercontent.com/u/6757026/slideShare/creativeAI.pdf
AI is used in many areas of the fashion industry such as e-commerce, styling, and design. Stylist websites and apps use algorithms to search databases of outfits and looks to recommend to clients based on their preferences. AI also helps designers create textiles and designs more efficiently. In e-commerce, AI helps personalize online shopping experiences by narrowing results and improving recommendations based on customer data. It can also analyze sales data to help brands predict upcoming trends.
Probe Fashion: AI Fashion Platform - pitch deckVitalii Duk
The document proposes an AI fashion platform that aims to address problems in the fashion industry like the gap between discovery and purchase, lack of inspiration from retailers, and lack of personalized shopping experiences. The proposed solution is a one-stop-shop mobile app that allows users to shop by uploading photos, receive style advice from AI, get personalized recommendations, and gain inspiration from social feeds. It outlines the technology, market opportunity, business model, growth projections, expansion plans, competitive advantages, and investment needs for the platform.
The fashion industry is integrating AI to improve various aspects of design, manufacturing, supply chain management, and customer experience. AI is being used to help customize products to individual customer preferences and analyze trends. Brands are partnering with AI companies to better understand customer sentiment and identify popular styles/themes. Algorithms are also improving demand forecasting, inventory management, and logistics to increase efficiency. Chatbots and virtual fitting tools provide personalized recommendations to customers.
This document provides an overview of the generative AI startup ecosystem in India. It discusses key statistics such as there being over 70 native generative AI startups in India that have raised $440 million total. The top segment for Indian generative AI startups is code and data, with over 20 startups in that space. The document also provides a list of 30 active generative AI startups in India with details about each.
How to Use AI (Like ChatGPT & Bard) in your SEO & Content - A Comprehensive S...Volume Nine
**Free SEO Prompt Cheat Sheet** - www.V9digital.com/ai
Artificial Intelligence (A.I.) is revolutionizing the digital marketing landscape, and SEO is no exception. Cutting-edge tools like ChatGPT and Bard are changing the way businesses approach their online presence. This 3,000-character SlideShare presentation delves into how to effectively incorporate A.I. into your SEO workflows, ensuring your marketing campaigns remain innovative, efficient, and effective.
In this engaging and insightful presentation, we will explore:
A Brief History of A.I. in SEO:
Discover the origins and evolution of A.I. in the realm of digital marketing. Learn how it has transformed from a niche concept to a mainstream tool that has become indispensable for SEO professionals worldwide.
Pros and Cons of A.I. in SEO:
While A.I. has undoubtedly revolutionized SEO, it is essential to understand the potential advantages and drawbacks of using such technology. We will discuss the strengths and weaknesses of A.I. in SEO, including cost efficiency, scalability, accuracy, and the potential for bias.
Tactical Ideas and Applications for ChatGPT and Bard:
Explore practical and innovative ways to incorporate ChatGPT and Bard into your SEO workflows. From content generation and optimization to keyword research and analysis, we will provide you with actionable insights and best practices for leveraging these powerful A.I. tools to enhance your SEO strategies.
Speculation on the Future of A.I. in SEO:
As A.I. continues to evolve, it is crucial to stay ahead of the curve and anticipate the future developments in the industry. We will speculate on potential advancements and trends, exploring how A.I. might reshape the SEO landscape in the coming years.
Our Favorite A.I. Tools and Resources:
With so many A.I. tools and resources available, it can be challenging to know where to start. We will share our top recommendations for A.I. tools, platforms, and resources that can help you elevate your SEO game and stay ahead of the competition.
By the end of this SlideShare presentation, you will have gained valuable knowledge and practical tips for incorporating A.I. technology like ChatGPT and Bard into your SEO workflows. With a keen understanding of the potential benefits and challenges of using A.I. in SEO, you will be better equipped to navigate the rapidly evolving digital marketing landscape and drive your business to new heights of success.
AI is used in many areas of the fashion industry such as e-commerce, styling, and design. Stylist websites and apps use algorithms to search databases of outfits and looks to recommend to clients based on their preferences. AI also helps designers create textiles and designs more efficiently. In e-commerce, AI helps personalize online shopping experiences by narrowing results and improving recommendations based on customer data. It can also analyze sales data to help brands predict upcoming trends.
Probe Fashion: AI Fashion Platform - pitch deckVitalii Duk
The document proposes an AI fashion platform that aims to address problems in the fashion industry like the gap between discovery and purchase, lack of inspiration from retailers, and lack of personalized shopping experiences. The proposed solution is a one-stop-shop mobile app that allows users to shop by uploading photos, receive style advice from AI, get personalized recommendations, and gain inspiration from social feeds. It outlines the technology, market opportunity, business model, growth projections, expansion plans, competitive advantages, and investment needs for the platform.
The fashion industry is integrating AI to improve various aspects of design, manufacturing, supply chain management, and customer experience. AI is being used to help customize products to individual customer preferences and analyze trends. Brands are partnering with AI companies to better understand customer sentiment and identify popular styles/themes. Algorithms are also improving demand forecasting, inventory management, and logistics to increase efficiency. Chatbots and virtual fitting tools provide personalized recommendations to customers.
This document provides an overview of the generative AI startup ecosystem in India. It discusses key statistics such as there being over 70 native generative AI startups in India that have raised $440 million total. The top segment for Indian generative AI startups is code and data, with over 20 startups in that space. The document also provides a list of 30 active generative AI startups in India with details about each.
How to Use AI (Like ChatGPT & Bard) in your SEO & Content - A Comprehensive S...Volume Nine
**Free SEO Prompt Cheat Sheet** - www.V9digital.com/ai
Artificial Intelligence (A.I.) is revolutionizing the digital marketing landscape, and SEO is no exception. Cutting-edge tools like ChatGPT and Bard are changing the way businesses approach their online presence. This 3,000-character SlideShare presentation delves into how to effectively incorporate A.I. into your SEO workflows, ensuring your marketing campaigns remain innovative, efficient, and effective.
In this engaging and insightful presentation, we will explore:
A Brief History of A.I. in SEO:
Discover the origins and evolution of A.I. in the realm of digital marketing. Learn how it has transformed from a niche concept to a mainstream tool that has become indispensable for SEO professionals worldwide.
Pros and Cons of A.I. in SEO:
While A.I. has undoubtedly revolutionized SEO, it is essential to understand the potential advantages and drawbacks of using such technology. We will discuss the strengths and weaknesses of A.I. in SEO, including cost efficiency, scalability, accuracy, and the potential for bias.
Tactical Ideas and Applications for ChatGPT and Bard:
Explore practical and innovative ways to incorporate ChatGPT and Bard into your SEO workflows. From content generation and optimization to keyword research and analysis, we will provide you with actionable insights and best practices for leveraging these powerful A.I. tools to enhance your SEO strategies.
Speculation on the Future of A.I. in SEO:
As A.I. continues to evolve, it is crucial to stay ahead of the curve and anticipate the future developments in the industry. We will speculate on potential advancements and trends, exploring how A.I. might reshape the SEO landscape in the coming years.
Our Favorite A.I. Tools and Resources:
With so many A.I. tools and resources available, it can be challenging to know where to start. We will share our top recommendations for A.I. tools, platforms, and resources that can help you elevate your SEO game and stay ahead of the competition.
By the end of this SlideShare presentation, you will have gained valuable knowledge and practical tips for incorporating A.I. technology like ChatGPT and Bard into your SEO workflows. With a keen understanding of the potential benefits and challenges of using A.I. in SEO, you will be better equipped to navigate the rapidly evolving digital marketing landscape and drive your business to new heights of success.
Introduction to the metaverse by Lionsorbet
“the futuristic ideal is a multi-dimensional, single unified, persistent world called the ‘metaverse’ where all companies and groups cooperate in a shared experience that can be accessed anywhere, anytime by anyone”
- Steve Irvine
This document discusses key concepts in fashion marketing. It outlines that fashion marketing aims to ensure creative and high-quality design to help businesses succeed through loyal and satisfied customers. Fashion marketers build an image, beliefs, trust, style, lifestyle and ethics for their brands. They utilize branding, themes, sub-brands and the marketing mix of product, place, price and promotion strategies. The marketing mix section specifically addresses how fashion marketers manage products, distribution channels, pricing tiers, and promotional activities like ads, catalogs, offers, sponsorships and events.
Presenting the landscape of AI/ML in 2023 by introducing a quick summary of the last 10 years of its progress, current situation, and looking at things happening behind the scene.
Chat GPT 4 can pass the American state bar exam, but before you go expecting to see robot lawyers taking over the courtroom, hold your horses cowboys – we're not quite there yet. That being said, AI is becoming increasingly more human-like, and as a VC we need to start thinking about how this new wave of technology is going to affect the way we build and run businesses. What do we need to do differently? How can we make sure that our investment strategies are reflecting these changes? It's a brave new world out there, and we’ve got to keep the big picture in mind!
Sharing here with you what we at Cavalry Ventures found out during our Generative AI deep dive.
This document outlines a digital marketing strategy for Zara clothing to increase brand awareness among young adults and teenagers. The strategy focuses on social media platforms like Facebook, Twitter, Instagram and Pinterest to promote new arrivals, styles and contests. It also discusses search engine optimization, Google Adwords and analytics to drive traffic to Zara's website and mobile app. The total budget allocated for the one-year digital marketing plan is $9 million, with the largest portions going towards social media and mobile strategies.
AI in Manufacturing: Opportunities & ChallengesTathagat Varma
AI has significant potential to create value in manufacturing through operational performance improvements, workforce augmentation, and sustainability gains. However, manufacturers often struggle to realize this value due to challenges such as a mismatch between AI capabilities and operational needs, a lack of strategic leadership and communication, insufficient cross-functional skills, and issues with data availability and governance. Addressing these adoption challenges will be key to unlocking the full promise of AI in manufacturing.
My presentation entitled 'AI, Creativity and Generative Art', presented at the annual symposium for AI students (CKI) at Utrecht University, Fri. June 16th, 2017
FitsU is launching a campaign to promote its new line of casual cotton shirts. The campaign will include on-ground activations in gyms to find "perfect bodies" to model in fashion shows, as well as online and radio promotions. A "Hunt for the Perfect Body" contest will be held in 10 cities over 6 weeks, with gym activations, city-level auditions, and final fashion shows announcing city winners. The goal is to build brand awareness for FitsU shirts and position them as stylish, high-quality casual attire.
Shortly after World War I, Adele Casagrande opened a fur store in Rome called "leather fur store", which later became famous as Fendi. Fendi started as a family business focused on fur garments. When the second generation of five daughters joined, Fendi successfully expanded internationally. Now in its third generation under Silvia Venturini Fendi, Fendi has become a popular symbol of fashion in Milan with over 80 years of history. Fendi is known for high quality leather handbags and fur clothing that launched new trends, and its iconic "double F" logo.
Bottega Veneta: general overview and new business platform proposalAlba Romero Villa
Bottega Veneta is an Italian luxury leather goods house founded in 1966 that was purchased by Kering in 2001. It became famous for its unique leather weaving technique and introduced soft, deconstructed handbags. While it almost went bankrupt in the 1990s due to overuse of logos, it has since rebuilt its image based on craftsmanship, quality, exclusivity, and discrete luxury. The document discusses the brand's financial figures, competitors, strengths, weaknesses and provides two potential strategies - expanding existing brand extensions or launching a new outdoor lifestyle-inspired product category.
Why is artificial intelligence in business analytics so critical for business...Countants
Be it in the form of deep learning technologies, autonomous vehicles, or smart robots, artificial intelligence (or AI) is making its presence felt everywhere in the connected world. With AI-enabled technologies having a prominent place in the Gartner Hype Cycle for Emerging Technologies, this technology is enhancing the capabilities of business analytics and business intelligence.
The document discusses the fashion design process. It explains that designers work a year in advance to plan collections for the upcoming seasons, researching trends, selecting themes, and creating mood boards. Designers must predict upcoming styles, design garments, and finalize collections in time for fashion shows to debut their lines to buyers and press. The process involves sketching, draping, patternmaking, samples, fittings and adjustments before full production of a collection.
1) Fashion forecasters work to identify emerging trends by closely watching many different influences from high and low culture. They communicate this information to product developers and marketers.
2) Forecasting aims to project past trends into the future by anticipating future developments based on signals of change in the present. It attempts to identify the source, pattern, direction, and tempo of trends.
3) There are different types of trends like emerging trends, building trends, declining trends, fads that fade quickly, and classics that achieve widespread acceptance over a long period.
Augmented reality (AR) enhances one's current perception of reality by supplementing real-world elements with computer-generated sensory input like sound, video, graphics or GPS data. Unlike virtual reality which replaces the real world, AR augments it. Applications of AR include gaming, education, medicine, navigation, sports/entertainment, research and marketing. In education, AR provides contextual learning through interactive simulations. In medicine, it allows overlaying patient scans and vital signs onto a real-world view. AR also enhances navigation, architecture/interior design, engineering and presentations. While it engages users, AR may decrease creativity and lacks privacy.
The document provides a history of the development of virtual reality technologies from the 1800s to present day. It discusses early concepts and inventions related to stereoscopic vision, virtual environments, and head-mounted displays. Key developments discussed include the Sensorama machine (1956), Telesphere Mask (1960), Headsight (1961), Sword of Damocles (1968), VIDEOPLACE (1975), Sayre Gloves (1982), DataGlove and EyePhone by VPL Research Inc. (1985), Virtuality arcade machines (1991), Virtual Vietnam PTSD therapy (1997), and Oculus Rift (2010). The document traces how VR has evolved from early concepts to commercial applications today.
The document discusses the concept of the metaverse, which is described as a virtual ecosystem that combines aspects of both the physical and virtual worlds. Some key points made about the metaverse include:
- It will be decentralized like the internet, with no single entity owning it.
- It will allow users to socialize, learn, work and play in 3D virtual spaces in ways that go beyond current technologies.
- Components of metaverse technology already exist in online games, with Second Life often cited as an early example.
- Issues like user safety, addiction, and the potential for it to be used as an "escape" from reality will need to be addressed as the metaverse develops further.
an AI stylist that uses
the customer's measurements,
preferences and lifestyle to
suggest outfits and items
24
Fig. 18, author
S T Y L I S T L O U N G E C O N C E P T
25
The Stylist Lounge concept brings the exclusive personal shopping experience to the mass market in a seamless, high-tech way. Customers can step into a body mapping pod to find their exact measurements, then use the Stylist Lounge app to receive outfit suggestions from an AI stylist tailored to their body type, style and budget.
Key features:
- Body mapping pod for accurate sizing
- Stylist Lounge app
- AI stylist assistant
Unlocking the Power of Generative AI An Executive's Guide.pdfPremNaraindas1
Generative AI is here, and it can revolutionize your business. With its powerful capabilities, this technology can help companies create more efficient processes, unlock new insights from data, and drive innovation. But how do you make the most of these opportunities?
This guide will provide you with the information and resources needed to understand the ins and outs of Generative AI, so you can make informed decisions and capitalize on the potential. It covers important topics such as strategies for leveraging large language models, optimizing MLOps processes, and best practices for building with Generative AI.
The rise of VR & AR era. Why this time is different?Vasily Ryzhonkov
When Facebook bought virtual reality company Oculus in early 2014, virtual reality blew up. While game and movie studios began reimagining the future, others looked back at the "old days" of VR — a loosely remembered period in the 1990s when gloves and goggles were super cool and everyone was going to get high on 3D graphics.
Computer enthusiasts and science fiction writers have dreamed about VR for decades. But earlier attempts to develop it, especially in the 1990s, were disappointing. It turns out the technology wasn’t ready yet. What’s happening now — because of Moore’s Law, and also the rapid improvement of processors, screens, and accelerometers, driven by the smartphone boom — is that VR is finally ready to go mainstream. Now, we’re in the midst of a virtual reality revolution.
So the question I want to pose here – is this time different?
Are we going to this future or it’s only media hype?
Didier Stricker
Mobile: +49-176-1234567
didierstricker@gmail.com
German Research Center for Artificial Intelligence (DFKI)
www.dfki.de
Thank you for your interest!
The Future Fashion programme aims to revolutionize the clothing design process through digital tools that enhance creativity for designers and open new markets. It involves projects to develop an intuitive 2D/3D virtual garment designer application, virtual fitting room apps for consumers, and an interaction console connecting designers and consumers. The tools will be tested with fashion colleges and small businesses and aim to improve design efficiency and sustainability while enhancing the consumer experience. An exploitation plan will be created to sustain the research commercially after co-funding ends.
Introduction to the metaverse by Lionsorbet
“the futuristic ideal is a multi-dimensional, single unified, persistent world called the ‘metaverse’ where all companies and groups cooperate in a shared experience that can be accessed anywhere, anytime by anyone”
- Steve Irvine
This document discusses key concepts in fashion marketing. It outlines that fashion marketing aims to ensure creative and high-quality design to help businesses succeed through loyal and satisfied customers. Fashion marketers build an image, beliefs, trust, style, lifestyle and ethics for their brands. They utilize branding, themes, sub-brands and the marketing mix of product, place, price and promotion strategies. The marketing mix section specifically addresses how fashion marketers manage products, distribution channels, pricing tiers, and promotional activities like ads, catalogs, offers, sponsorships and events.
Presenting the landscape of AI/ML in 2023 by introducing a quick summary of the last 10 years of its progress, current situation, and looking at things happening behind the scene.
Chat GPT 4 can pass the American state bar exam, but before you go expecting to see robot lawyers taking over the courtroom, hold your horses cowboys – we're not quite there yet. That being said, AI is becoming increasingly more human-like, and as a VC we need to start thinking about how this new wave of technology is going to affect the way we build and run businesses. What do we need to do differently? How can we make sure that our investment strategies are reflecting these changes? It's a brave new world out there, and we’ve got to keep the big picture in mind!
Sharing here with you what we at Cavalry Ventures found out during our Generative AI deep dive.
This document outlines a digital marketing strategy for Zara clothing to increase brand awareness among young adults and teenagers. The strategy focuses on social media platforms like Facebook, Twitter, Instagram and Pinterest to promote new arrivals, styles and contests. It also discusses search engine optimization, Google Adwords and analytics to drive traffic to Zara's website and mobile app. The total budget allocated for the one-year digital marketing plan is $9 million, with the largest portions going towards social media and mobile strategies.
AI in Manufacturing: Opportunities & ChallengesTathagat Varma
AI has significant potential to create value in manufacturing through operational performance improvements, workforce augmentation, and sustainability gains. However, manufacturers often struggle to realize this value due to challenges such as a mismatch between AI capabilities and operational needs, a lack of strategic leadership and communication, insufficient cross-functional skills, and issues with data availability and governance. Addressing these adoption challenges will be key to unlocking the full promise of AI in manufacturing.
My presentation entitled 'AI, Creativity and Generative Art', presented at the annual symposium for AI students (CKI) at Utrecht University, Fri. June 16th, 2017
FitsU is launching a campaign to promote its new line of casual cotton shirts. The campaign will include on-ground activations in gyms to find "perfect bodies" to model in fashion shows, as well as online and radio promotions. A "Hunt for the Perfect Body" contest will be held in 10 cities over 6 weeks, with gym activations, city-level auditions, and final fashion shows announcing city winners. The goal is to build brand awareness for FitsU shirts and position them as stylish, high-quality casual attire.
Shortly after World War I, Adele Casagrande opened a fur store in Rome called "leather fur store", which later became famous as Fendi. Fendi started as a family business focused on fur garments. When the second generation of five daughters joined, Fendi successfully expanded internationally. Now in its third generation under Silvia Venturini Fendi, Fendi has become a popular symbol of fashion in Milan with over 80 years of history. Fendi is known for high quality leather handbags and fur clothing that launched new trends, and its iconic "double F" logo.
Bottega Veneta: general overview and new business platform proposalAlba Romero Villa
Bottega Veneta is an Italian luxury leather goods house founded in 1966 that was purchased by Kering in 2001. It became famous for its unique leather weaving technique and introduced soft, deconstructed handbags. While it almost went bankrupt in the 1990s due to overuse of logos, it has since rebuilt its image based on craftsmanship, quality, exclusivity, and discrete luxury. The document discusses the brand's financial figures, competitors, strengths, weaknesses and provides two potential strategies - expanding existing brand extensions or launching a new outdoor lifestyle-inspired product category.
Why is artificial intelligence in business analytics so critical for business...Countants
Be it in the form of deep learning technologies, autonomous vehicles, or smart robots, artificial intelligence (or AI) is making its presence felt everywhere in the connected world. With AI-enabled technologies having a prominent place in the Gartner Hype Cycle for Emerging Technologies, this technology is enhancing the capabilities of business analytics and business intelligence.
The document discusses the fashion design process. It explains that designers work a year in advance to plan collections for the upcoming seasons, researching trends, selecting themes, and creating mood boards. Designers must predict upcoming styles, design garments, and finalize collections in time for fashion shows to debut their lines to buyers and press. The process involves sketching, draping, patternmaking, samples, fittings and adjustments before full production of a collection.
1) Fashion forecasters work to identify emerging trends by closely watching many different influences from high and low culture. They communicate this information to product developers and marketers.
2) Forecasting aims to project past trends into the future by anticipating future developments based on signals of change in the present. It attempts to identify the source, pattern, direction, and tempo of trends.
3) There are different types of trends like emerging trends, building trends, declining trends, fads that fade quickly, and classics that achieve widespread acceptance over a long period.
Augmented reality (AR) enhances one's current perception of reality by supplementing real-world elements with computer-generated sensory input like sound, video, graphics or GPS data. Unlike virtual reality which replaces the real world, AR augments it. Applications of AR include gaming, education, medicine, navigation, sports/entertainment, research and marketing. In education, AR provides contextual learning through interactive simulations. In medicine, it allows overlaying patient scans and vital signs onto a real-world view. AR also enhances navigation, architecture/interior design, engineering and presentations. While it engages users, AR may decrease creativity and lacks privacy.
The document provides a history of the development of virtual reality technologies from the 1800s to present day. It discusses early concepts and inventions related to stereoscopic vision, virtual environments, and head-mounted displays. Key developments discussed include the Sensorama machine (1956), Telesphere Mask (1960), Headsight (1961), Sword of Damocles (1968), VIDEOPLACE (1975), Sayre Gloves (1982), DataGlove and EyePhone by VPL Research Inc. (1985), Virtuality arcade machines (1991), Virtual Vietnam PTSD therapy (1997), and Oculus Rift (2010). The document traces how VR has evolved from early concepts to commercial applications today.
The document discusses the concept of the metaverse, which is described as a virtual ecosystem that combines aspects of both the physical and virtual worlds. Some key points made about the metaverse include:
- It will be decentralized like the internet, with no single entity owning it.
- It will allow users to socialize, learn, work and play in 3D virtual spaces in ways that go beyond current technologies.
- Components of metaverse technology already exist in online games, with Second Life often cited as an early example.
- Issues like user safety, addiction, and the potential for it to be used as an "escape" from reality will need to be addressed as the metaverse develops further.
an AI stylist that uses
the customer's measurements,
preferences and lifestyle to
suggest outfits and items
24
Fig. 18, author
S T Y L I S T L O U N G E C O N C E P T
25
The Stylist Lounge concept brings the exclusive personal shopping experience to the mass market in a seamless, high-tech way. Customers can step into a body mapping pod to find their exact measurements, then use the Stylist Lounge app to receive outfit suggestions from an AI stylist tailored to their body type, style and budget.
Key features:
- Body mapping pod for accurate sizing
- Stylist Lounge app
- AI stylist assistant
Unlocking the Power of Generative AI An Executive's Guide.pdfPremNaraindas1
Generative AI is here, and it can revolutionize your business. With its powerful capabilities, this technology can help companies create more efficient processes, unlock new insights from data, and drive innovation. But how do you make the most of these opportunities?
This guide will provide you with the information and resources needed to understand the ins and outs of Generative AI, so you can make informed decisions and capitalize on the potential. It covers important topics such as strategies for leveraging large language models, optimizing MLOps processes, and best practices for building with Generative AI.
The rise of VR & AR era. Why this time is different?Vasily Ryzhonkov
When Facebook bought virtual reality company Oculus in early 2014, virtual reality blew up. While game and movie studios began reimagining the future, others looked back at the "old days" of VR — a loosely remembered period in the 1990s when gloves and goggles were super cool and everyone was going to get high on 3D graphics.
Computer enthusiasts and science fiction writers have dreamed about VR for decades. But earlier attempts to develop it, especially in the 1990s, were disappointing. It turns out the technology wasn’t ready yet. What’s happening now — because of Moore’s Law, and also the rapid improvement of processors, screens, and accelerometers, driven by the smartphone boom — is that VR is finally ready to go mainstream. Now, we’re in the midst of a virtual reality revolution.
So the question I want to pose here – is this time different?
Are we going to this future or it’s only media hype?
Didier Stricker
Mobile: +49-176-1234567
didierstricker@gmail.com
German Research Center for Artificial Intelligence (DFKI)
www.dfki.de
Thank you for your interest!
The Future Fashion programme aims to revolutionize the clothing design process through digital tools that enhance creativity for designers and open new markets. It involves projects to develop an intuitive 2D/3D virtual garment designer application, virtual fitting room apps for consumers, and an interaction console connecting designers and consumers. The tools will be tested with fashion colleges and small businesses and aim to improve design efficiency and sustainability while enhancing the consumer experience. An exploitation plan will be created to sustain the research commercially after co-funding ends.
3D printing is a process where a three-dimensional object is created by laying down successive layers of material under computer control. A 3D printer works by building an object layer by layer based on a digital file. While subtractive methods were traditionally used, additive manufacturing is being used for more production applications. The first drivable 3D printed car was unveiled at a manufacturing technology show, taking 44 hours to print major components like the body and seats, though other parts like the engine were not printed. The goal was to demonstrate the viability of 3D printing in the automotive industry.
1. An overview of potential AR/VR applications in fashion
2. An overview of the eTryOn consortium project, doing R&D into 3 of these applications
3. Key technical challenges and opportunities for XR in fashion over the next few years
This document summarizes several media platforms and organizations that promote open source, DIY, and collaborative projects. It describes magazines like Make and Wired that cover these topics. It also outlines online marketplaces and platforms like Etsy, Shapeways, and Ponoko that enable users to start businesses for crafts and 3D printed goods. Additional platforms discussed include Arduino, Kickstarter, and Indiegogo for open hardware and crowdfunding projects. The document provides links to each organization for further information.
Digital Fabrication Studio 0.3 Media, Business, Platform, EconomyMassimo Menichinelli
Digital_Fabrication_Studio.01 discusses the media ecosystem, platforms, and business models for digital fabrication, open design, and DIY projects. It describes how magazines like Wired and Make promote these fields. Platforms discussed include Etsy, Ponoko, and Shapeways for selling projects, as well as GitHub for coding. Crowdfunding platforms like Kickstarter and Indiegogo are also covered. The document notes that while open source is important, projects still need market relevance. Successful businesses in this field like MakerBot and 3D Systems are highlighted. The growing market for 3D printing and how various players are positioned is summarized.
Accelerating the Packaging Design Process with Artificial IntelligenceNuxeo
New product innovations, materials, rebranding: every product change can create a need for new packaging. Technical and creative information collides with file formats whenever packaging is involved. Packaging designers are called on to localize designs for multiple markets and change specific elements creating many iterations of the same basic package design. That’s a lot of moving parts to manage and coordinate.
That is why Innovationedge Founder Cheryl Perkins, and Nuxeo’s Alan Porter will join CGT in an upcoming webinar to discuss how product asset management, combined with Artificial Intelligence (AI) and machine learning (ML) models, can accelerate ideas to market for consumer goods companies.
Attendees will learn:
- How connecting product data and visual assets can accelerate the packaging design process.
- How one consumer goods manufacturer reduced their packaging approvals process from weeks to days.
- How to manage and track multiple localized versions of a design using asset derivatives.
Help me build an international 3D printing community. Come here weekly to check out the latest trends, stats, and samples in 3D printing. Comments are welcome!
leewayhertz.com-How to build a generative AI solution From prototyping to pro...KristiLBurns
Generative AI has gained significant attention in the tech industry, with investors, policymakers, and the society at large talking about innovative AI models like ChatGPT and Stable Diffusion.Generative AI has gained significant attention in the tech industry, with investors, policymakers, and the society at large talking about innovative AI models like ChatGPT and Stable Diffusion.
This document summarizes a 3D printing workshop that covered the current state of desktop 3D fabrication and 3D printing. It discussed how 3D printing has evolved from expensive industrial tools to more affordable desktop 3D printers, enabled by projects like RepRap and companies like MakerBot. The workshop taught basics of 3D modeling for printing and discussed how people are using 3D printing for custom enclosures, extensions, branding, and problem solving. Participants learned hands-on 3D printing and were assigned a tutorial to design an object to print.
SIMULATION OF DIGITAL GARMENTS UNDER THE CONCEPT OF BIOMORPHIAM INSPIRED BY R...IRJET Journal
This document discusses simulating digital garments under the concept of biomorphism inspired by radiolarians. It aims to style and simulate a set of digital clothes using CLO 3D modeling software based on Iris Van Herpen's biomorphic designs inspired by radiolarians, which are protozoa with intricate mineral skeletons found in deep oceans. The work involves researching biomorphism and radiolarians, developing inspiration boards and mood boards, creating initial sketches, finalizing 5 styles, and simulating the 3D garments in CLO 3D software. A survey was conducted to understand preferences of the target population regarding colors, interests in learning 3D software, and knowledge of such software to inform the design process.
This document summarizes a presentation on digital technologies and the fashion industry. It defines the digital economy and discusses how it has liberated constraints of time, place, actors, and relationships. It outlines new digital clusters like 3D printing, virtual/augmented reality, and e-commerce platforms. Opportunities for fashion designers include skills development, innovation in various stages of design and production, and adopting new business models. The presentation concludes with breakout group discussions on topics like direct-to-consumer retail and navigating emerging technologies.
This document discusses the growing integration of technology and fashion. It notes that wearable technology is becoming more widespread and will soon see widespread adoption. It highlights several fashion designers and companies that are experimenting with 3D printing, LED lights, sensors, and other technologies in clothing designs. The document also discusses how large tech companies like Google and Apple are entering the fashion industry through partnerships and rumored projects involving smartwatches and wearable technology.
This comprehensive review is on the dominance of digital technology in fashion design, aesthetics, and profound jounce on the values of individuals in contemporary society. A commensurate understanding of the relationship between digital technology, aesthetics and fashion design is essential to examine the developments, transformation, and socio-cultural surprises in the years to come. Hence, the aim of this research is to bequeath insight and impart new knowledge to the literature encapsulating the following complex interplay between digital technology, fashion design and aesthetics impacting the psychological influences and emotional contagion in the society : (i) introduction of the world of wearables (WOW) that crosses boundaries between many disciplines using wearable operating system (WOS), (ii) describes the indispensable pillars of design imagination that express the product’s defining points of importance, (iii) demonstrates digital transformation is a mindset than about technology for the fashion design and development process, (iv) reveals aesthetics as 5C (comfort, communication, care, convenience, and context of usability) experience that actualize user bond and loyalty, (v) justifies fusion of digital technology, aesthetics, and fashion design that offers an array of amazing advantages that creates value for the consumer, (vi) characterizes the power of digital technology on fashion industry creating pervasive phenomenon in the contemporary society, (vii) deliberation and critical rumination on the fashion designer- a bridge between the technology and the consumer that prominence the socio-cultural changes globally, (viii) concludes “less is more” is a key guideline for smart fashion wearable (SFW) design and substantiates that designers will not succeed until it is designed from the fashion perspective – not as technology that can be worn, but as fashion design that contains technology.
1. The document discusses several manufacturing technology topics for 2014, including newshoring expanding national economies but dampening global trade, emerging economies leapfrogging centralized manufacturing through distributed digital manufacturing, and the blurring lines between hardware, software, and materials with advances in 3D printing and materials.
2. It also touches on 3D printing enabling more automated "last mile" assembly in factories, the impact of algorithmic design on product design careers, and potential early applications of quantum computing despite major challenges in developing usable quantum algorithms and hardware.
3. Specific examples and perspectives are provided for each topic from sources like CNN, Bloomberg, IT World, and Re/Code to further illustrate trends and issues in these developing areas
Help me build an international 3D printing community. Come here weekly to check out the latest trends, stats, and samples in 3D printing. Comments are welcome!
Business & marketing applications of microsoft’s kinect technology drummerKyle Drummer
Business and marketing applications of Microsoft's Kinect technology.
Trend assessment assignment for MKTG 7546 Digital Marketing course at the University of Memphis.
As 3D printers are become more affordable and versatile, they are destined to disrupt multiple industries. Here's what you need to know about this quickly accelerating technology.
The document provides an overview of the latest trends in information technology for 2020, including industrial intelligent automation, intelligent transportation systems, autonomous aviation, the internet of things, virtual reality, big data analytics, cloud computing, and 5G wireless technology. It discusses each trend in 1-3 paragraphs, covering definitions, examples, enabling technologies, and potential applications. The document is an informative guide to the major developments expected to influence information technology in 2020 and beyond.
Online shopping has found speedy growth for the fast-paced world in the present situation. Precisely garments shopping are one of the most exciting parts especially for ladies. The continuous changing fashion and newly designed outfits motivates customers for shopping. New online shopping stores have added an ease for shopping your desired products by removing the constraints of places and time limits. As far as garments are concerned, predicting the appropriate size and imaging the real life look of that garment just by viewing its image is a challenging task.
The project introduces an easy and feasible solution for the online shopping try-on scenario by introducing an app with a digital try-on feature. It can enhance online shopping experience. In this project, we propose an idea for fitting a given 3D garment model on a person. We will use 3d models of the clothes that will fit on the image of the user and enable a user to see himself/herself wearing virtual clothes. The 3D models of the clothes are stored in the system. On opening the application, user can view the clothes available and by using the mobile’s camera the user can get an idea of how the garment will fit on him/her. This way the user can have a fair idea about the look of the garment.
Similar to Artificial Intelligence in Fashion, Beauty and related Creative industries (20)
From lung/heart/ambient source separation to clinical unimodal
classification
Alternative download link:
https://www.dropbox.com/scl/fi/8s7uq4h0fi8lgqbzqwg83/wearableMic_signal.pdf?rlkey=l2tqg5yffd4e0w224g3cs6pfl&dl=0
Next Gen Ophthalmic Imaging for Neurodegenerative Diseases and OculomicsPetteriTeikariPhD
Shallow literature analysis on recent trends in (multimodal) ophthalmic imaging with focus on neurodegenerative disease imaging / oculomics. Open-ended literature review on what you could be building next.
#1/2: Hardware
#2/2: Computational imaging (coming)
Alternative download link:
https://www.dropbox.com/scl/fi/ebp5xkhm3ngfu80hw0lvo/retina_imaging_2024.pdf?rlkey=eeikf3ewxdb481v06wxm34mqu&dl=0
Next Gen Computational Ophthalmic Imaging for Neurodegenerative Diseases and ...PetteriTeikariPhD
Shallow literature analysis on recent trends in computational ophthalmic imaging with focus on neurodegenerative disease imaging / oculomics.
Open-ended literature review on what you could be building next.
#1/2: Hardware
#2/2: Computational imaging
Alternative download link:
https://www.dropbox.com/scl/fi/d34pgi3xopfjbrcqj2lvi/retina_imaging_2024_computational.pdf?rlkey=xnt1dbe8rafyowocl9cbgjh3p&dl=0
This document provides an overview of design considerations for continuous physiological monitoring in chronic respiratory diseases. It discusses the need for such monitoring given the high burden of chronic respiratory diseases. It describes existing and emerging sensor technologies that could enable remote monitoring of lung sounds and other vital signs. This includes adhesive patches, smart clothing, and digital stethoscopes. The document also speculates about future technologies like acoustic metamaterials and 4D acoustic imaging of the lungs. Overall it aims to provide context for machine learning and signal processing approaches to analyzing respiratory monitoring data.
Precision Medicine for personalized treatment of asthmaPetteriTeikariPhD
Petteri Teikari provides a shallow literature analysis of asthma diagnostics and management to aid in developing digital solutions. Asthma is heterogeneous with multiple endotypes requiring personalized treatment. Over and underdiagnosis are common due to a lack of objective lung function testing to demonstrate variable airflow limitation supporting an asthma diagnosis. Effort-free lung function measures are desired. Asthma is an umbrella term for various subtypes that are managed through preventer inhalers, reliever inhalers, and action plans tailored to the individual.
This document discusses using deep learning for automated segmentation of 3D vasculature stacks from multiphoton microscopy images. It highlights relevant literature on semi-supervised U-Net architectures that can leverage both labeled and unlabeled data. The document notes the lack of robust automated tools for large datasets and recommends taking inspiration from electron microscopy segmentation. It provides an overview of a presentation on vasculature segmentation using deep learning, covering basic concepts, recent papers, and "history of ideas" in the field to provide inspiration for new projects.
Skin temperature as a proxy for core body temperature (CBT) and circadian phasePetteriTeikariPhD
Using distal temperature (wrist temperature with smartwatch / finger temperature with smart ring as Oura) to estimate core body temperature (CBT).
We can then use the wrist temperature shifts as circadian phase shift estimates in circadian phase management. For example when prescribing melatonin or/and light exposure to mitigate the effects of jet lag
Alternative download link:
https://www.dropbox.com/scl/fi/es7174291yws262rhr568/cbt_estimation.pdf?rlkey=846yeed1wrqsjgkx7kp8ccc2y&dl=0
Summary of "Precision strength training: The future of strength training with...PetteriTeikariPhD
Short visual summary of the preprint:
Petteri Teikari and Aleksandra Pietrusz (2021)
“Precision Strength Training: Data-driven Artificial
Intelligence Approach to Strength and Conditioning.”
SportRxiv. May 20. https://doi.org/10.31236/osf.io/w734a
Precision strength training: The future of strength training with data-driven...PetteriTeikariPhD
Visual presentation of the preprint:
Petteri Teikari and Aleksandra Pietrusz (2021)
“Precision Strength Training: Data-driven Artificial
Intelligence Approach to Strength and Conditioning.”
SportRxiv. May 20. https://doi.org/10.31236/osf.io/w734a
Alternative download link:
https://www.dropbox.com/scl/fi/47nqp579t1b4m1zs0irhw/precision_strength_training.pdf?rlkey=05mzzw2ep8id71mq86936hvfi&dl=0
Intracerebral Hemorrhage (ICH): Understanding the CT imaging featuresPetteriTeikariPhD
Overview of CT basics and deep learning literature mostly focused on the analysis of ICH.
Intracerebral hemorrhage (ICH), also known as cerebral bleed, is a type of intracranial bleed that occurs within the brain tissue or ventricles. Intracerebral bleeds are the second most common cause of stroke, accounting for 10% of hospital admissions for stroke.
For spontaneous ICH seen on CT scan, the death rate (mortality) is 34–50% by 30 days after the insult,and half of the deaths occur in the first 2 days. Even though the majority of deaths occurs in the first days after ICH, survivors have a long term excess mortality of 27% compared to the general population.
Deep learning and computational steps roughly can be categorized to 1) Preprocessing, 2) Image Restoration (denoising, deblurring, inpainting, reconstruction), 3) Diffeomorphic registration for spatial normalization, 4) Hand-crafted radiomics and texture analysis, 5) Hemorrhage segmentation, among other relevant head CT issues
Alternative download link: https://www.dropbox.com/s/8l2h93cl2pmle4g/CT_hemorrhage.pdf?dl=0
Clinical applications with a focus on rheumatoid arthritis (RA) management. Quick overview of hand pose tracking for managing rheumatoid arthritis.
For best clinical outcome, you might want to think how to integrate additional modalities like surface electromyography (sEMG) and hand function assessments (like hand grip strength, and finger extension strength) to the clinical prognostics model.
Alternative download link:
https://www.dropbox.com/s/rexzt3d5tsm1vgc/hand_tracking_arthritis_management.pdf?dl=0
Hardware landscape from computer vision to wearable sensors, and a light intro for UX requirements to ensure adherence and engagement.
At the intersection of new sensors, big data, deep learning, gamification, behavioral medicine and human factors.
Applications benefiting from "quantitative sensorimotor training", "precision exercise", "precision physiotherapy" or whatever you are calling this, include weight and strength training, powerlifting, bodybuilding, martial arts, yoga, dance, musical instrument training, post-surgery rehabilitation for ACL tears, etc.
Alternative download link:
https://www.dropbox.com/s/wcfrzdjkn58xjdq/physio_pipeline_hw.pdf?dl=0
Multimodal RGB-D+RF-based sensing for human movement analysisPetteriTeikariPhD
This document discusses various sensing modalities and technologies that could be used for human movement analysis, including RGB-D cameras, WiFi sensing using CSI, edge computing devices, synchronizing multiple sensors, and acoustic/ultrasound, mmWave, and WiFi sensing. RGB-D cameras like Intel RealSense and Kinect are commonly used options for depth sensing. WiFi signals have also been used to estimate person pose by detecting changes in carriers caused by the human body. Low-power edge devices discussed include Nvidia Jetson Nano and Google's Coral Edge TPU board. Synchronizing signals from multiple cameras requires a trigger signal. Acoustic/ultrasound, mmWave, and WiFi sensing have also been
Creativity as Science: What designers can learn from science and technologyPetteriTeikariPhD
What personality traits do creative people share? Is creativity skill like any other? Is creativity suppressed in our world, is creativity misunderstood by "dinosaur companies" stuck with their legacy systems? Are "creatives" actually that creative in the end? Can fashion design exist in some romantic old school silo where no tech understanding is needed?
Alternative download link:
https://www.dropbox.com/s/ghiyeo3nyrtutzt/RCA_creativity.pdf?dl=0
1) The document discusses various light delivery glasses and visors that can be used for light therapy applications such as myopia treatment, jetlag management, and seasonal affective disorder.
2) It provides examples of existing commercial products like Ayo, Lucimed Luminette, and Re-Timer glasses. It also discusses prototypes from companies like Seqinetic and Yumalite.
3) The document explores technical approaches for light delivery like MEMS mirrors, waveguides using diffractive optics, and prior art patents related to near-eye and augmented reality displays.
Deep Learning for Biomedical Unstructured Time SeriesPetteriTeikariPhD
1D Convolutional neural networks (CNNs) for time series analysis, and inspiration from beyond biomedical field. Short intro for various different steps involved in Time Series Analysis including outlier detection, imputation, denoising, segmentation, classification and forecasting.
Available also from:
https://www.dropbox.com/s/cql2jhrt5mdyxne/timeSeries_deepLearning.pdf?dl=0
Short intro for some design considerations around hyperspectral retinal imaging. Both for research-grade desktop setups built around supercontinuum laser and AOTF tunable filter, and for mobile low-cost retinal imagers.
Available also from:
https://www.dropbox.com/s/5brchl9ntqno0i9/hyperspectral_retinal_imaging.pdf?dl=0
Design to accommodate “intelligent adaptive experiments” with future-proof hardware for deep learning-enabled imaging and neuroscience.
In other words, how to design future-proof measurement systems that are both easy to setup and are scalable for more advanced measurement paradigms of the future. And how you would like to think of structuring your data acquisition to be used efficiently with deep learning in neuroscience.
Alternative download link:
https://www.dropbox.com/s/j5r8vifvh6e7bfp/animal_instrumentation.pdf?dl=0
Novel deep learning-powered diagnostics hardware for assessing retinal health.
The impact of deep learning and artificial intelligence for the design practice itself is covered better in https://algorithms.design/ and the focus of this presentation is in the visual function diagnostics.
How is the future looking for your high-street optician's (e.g. Specsavers, Boots) vision exam going beyond simple refraction correction, and how possibly in the future AR glasses could allow design of "smarter" every-day eyewear also for health monitoring.
Talk given for “Future of Eyecare: How we see and how we want to be seen” organized by Flora McLean.
Royal College of Art - London UK
Using physics-based OCT Monte Carlo simulation and wave optics models for synthesising new OCT volumes for ophthalmic deep learning.
Alternative download link:
https://www.dropbox.com/s/ax15qy47yi76eex/OCT_MonteCarlo.pdf?dl=0
CNSCon 2024 Lightning Talk: Don’t Make Me Impersonate My IdentityCynthia Thomas
Identities are a crucial part of running workloads on Kubernetes. How do you ensure Pods can securely access Cloud resources? In this lightning talk, you will learn how large Cloud providers work together to share Identity Provider responsibilities in order to federate identities in multi-cloud environments.
Tool Support for Testing as Chapter 6 of ISTQB Foundation 2018. Topics covered are Tool Benefits, Test Tool Classification, Benefits of Test Automation and Risk of Test Automation
An Introduction to All Data Enterprise IntegrationSafe Software
Are you spending more time wrestling with your data than actually using it? You’re not alone. For many organizations, managing data from various sources can feel like an uphill battle. But what if you could turn that around and make your data work for you effortlessly? That’s where FME comes in.
We’ve designed FME to tackle these exact issues, transforming your data chaos into a streamlined, efficient process. Join us for an introduction to All Data Enterprise Integration and discover how FME can be your game-changer.
During this webinar, you’ll learn:
- Why Data Integration Matters: How FME can streamline your data process.
- The Role of Spatial Data: Why spatial data is crucial for your organization.
- Connecting & Viewing Data: See how FME connects to your data sources, with a flash demo to showcase.
- Transforming Your Data: Find out how FME can transform your data to fit your needs. We’ll bring this process to life with a demo leveraging both geometry and attribute validation.
- Automating Your Workflows: Learn how FME can save you time and money with automation.
Don’t miss this chance to learn how FME can bring your data integration strategy to life, making your workflows more efficient and saving you valuable time and resources. Join us and take the first step toward a more integrated, efficient, data-driven future!
TrustArc Webinar - Your Guide for Smooth Cross-Border Data Transfers and Glob...TrustArc
Global data transfers can be tricky due to different regulations and individual protections in each country. Sharing data with vendors has become such a normal part of business operations that some may not even realize they’re conducting a cross-border data transfer!
The Global CBPR Forum launched the new Global Cross-Border Privacy Rules framework in May 2024 to ensure that privacy compliance and regulatory differences across participating jurisdictions do not block a business's ability to deliver its products and services worldwide.
To benefit consumers and businesses, Global CBPRs promote trust and accountability while moving toward a future where consumer privacy is honored and data can be transferred responsibly across borders.
This webinar will review:
- What is a data transfer and its related risks
- How to manage and mitigate your data transfer risks
- How do different data transfer mechanisms like the EU-US DPF and Global CBPR benefit your business globally
- Globally what are the cross-border data transfer regulations and guidelines
Test Case Design Techniques as chapter 4 of ISTQB Foundation. Topics included are Equivalence Partition, Boundary Value Analysis, State Transition Testing, Decision Table Testing, Use Case Testing, Statement Coverage, Decision Coverage, Error Guessing, Exploratory Testing, Checklist Based Testing
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/efficiency-unleashed-the-next-gen-nxp-i-mx-95-applications-processor-for-embedded-vision-a-presentation-from-nxp-semiconductors/
James Prior, Senior Product Manager at NXP Semiconductors, presents the “Efficiency Unleashed: The Next-gen NXP i.MX 95 Applications Processor for Embedded Vision” tutorial at the May 2024 Embedded Vision Summit.
Machine vision is the most obvious way to help humans live better, enabling hundreds of applications spanning security, monitoring, inspection and more. Modern edge processors need private on-device and scalable hybrid machine learning capabilities to offer enough longevity to stay relevant in industrial and commercial IoT markets. In this talk, Prior presents the upcoming i.MX 95 family of applications processors.
The i.MX 95 features a new, self-developed neural processing unit from NXP—the eIQ Neutron NPU. Designed to scale from today’s conventional neural networks to tomorrow’s transformer-based models, the eIQ Neutron NPU scalable architecture delivers edge AI capabilities at high efficiency with award-winning tools, combined with chip-level security and privacy features. The i.MX 95 applications processor family features powerful processing and vision capabilities combined with safety, security and expandable high-speed interfaces.
Chapter 3 of ISTQB Foundation 2018 syllabus with sample questions. Answers about what is static testing, what is review, types of review, informal review, walkthrough, technical review, inspection.
Leveraging AI for Software Developer Productivity.pptxpetabridge
Supercharge your software development productivity with our latest webinar! Discover the powerful capabilities of AI tools like GitHub Copilot and ChatGPT 4.X. We'll show you how these tools can automate tedious tasks, generate complete syntax, and enhance code documentation and debugging.
In this talk, you'll learn how to:
- Efficiently create GitHub Actions scripts
- Convert shell scripts
- Develop Roslyn Analyzers
- Visualize code with Mermaid diagrams
And these are just a few examples from a vast universe of possibilities!
Packed with practical examples and demos, this presentation offers invaluable insights into optimizing your development process. Don't miss the opportunity to improve your coding efficiency and productivity with AI-driven solutions.
Balancing Compaction Principles and PracticesScyllaDB
Compaction is a crucial component for preventing storage consumption from exploding. In this session, we’ll talk about why compaction is required and its principles of operation, the main compaction strategies available for use, when they should be used, and how they can be configured. Finally, we’ll present new compaction features recently introduced in ScyllaDB Enterprise and ScyllaDB Cloud.
Move Auth, Policy, and Resilience to the PlatformChristian Posta
Developer's time is the most crucial resource in an enterprise IT organization. Too much time is spent on undifferentiated heavy lifting and in the world of APIs and microservices much of that is spent on non-functional, cross-cutting networking requirements like security, observability, and resilience.
As organizations reconcile their DevOps practices into Platform Engineering, tools like Istio help alleviate developer pain. In this talk we dig into what that pain looks like, how much it costs, and how Istio has solved these concerns by examining three real-life use cases. As this space continues to emerge, and innovation has not slowed, we will also discuss the recently announced Istio sidecar-less mode which significantly reduces the hurdles to adopt Istio within Kubernetes or outside Kubernetes.
Artificial Intelligence in Fashion, Beauty and related Creative industries
1.
2.
3. Artificial Intelligence in Creative Industries
Artist and researcher Terence Broad is working on his master's at
Goldsmith's computing department; his dissertation involved
training neural networks to "autoencode" movies they've been fed.
boingboing.net/2016/06/02
Jürgen Schmidhuber, Point Omega,
https://youtu.be/KQ35zNlyG-o
http://dx.doi.org/10.1016/S0004-3702(98)00055-1
For an excellent review of the current state, see the
post by Kyle McDonald who is an artist working with
code: medium.com/@kcimc/a-return-to-machine-learning
Unsupervised Representation Lea
rning with Deep Convolutional G
enerative Adversarial Networks
Semantic Style Transfer and T
urning Two-Bit Doodles into F
ine Artworks
Deep Dream FBO Glitch By
KyleMcDonald , also
posted to Twitter.
London, United Kingdom, Sept 21 2016
Over the past few months, there has been increasing interest in applying the latest
developments in artificial intelligence to creative projects in art, music, film,
theatre and beyond.
techinsider.io, Magenta group
introduced at Moogfest
https://vimeo.com/169779284
4. Fashion & Artificial Intelligence
If artificial intelligence has its way, discounting could disappear, thanks to software that tells
retailers exactly what and how many products to buy, and when to put them on sale to sell them at full
price. Online shopping could become a conversation, where the shopper describes the dress of their
dreams, and, in seconds, an AI-powered search engine tracks down the closest match. Designers,
merchandisers and buyers could all work alongside AI, to predict what customers want to wear, before
they even know themselves.
For fashion, some of the biggest opportunities are in aligning supply and demand, scaling personal
customer service, and assisting designers.
By analysing large amounts of data — say, the browsing and shopping history of every single one of a
fashion brand’s online customers, as well as those of its competitors — AI can tell a retailer how to align
product drops to match demand, and even how to display products in a store to sell as many as
possible.
Machine learning can also enable brands to finely personalise their offerings to each market, or even,
each individual customer. IBM's Watson — which is working with over 500 partners in industries
including retail — has partnered with The North Face to offer “guided shopping” online. The AI asks
shoppers questions on factors such as gender, time of year and technical product details, to deliver
tailored recommendations.
"There are AI systems today that compose music, write stories, and create artwork that no one can tell is
machine-generated. So fashion design is surely not beyond AI's capabilities,” In the same way that the
work of architects like Frank Gehry and Zaha Hadid relies on computer modelling, “Fashion designers
armed with AIs will be similarly able to come up with radical new ideas: AI will amplify their
creativity rather than replace it," reasons Domingos.
“AI will absolutely challenge and replace designers,” counters Kenneth Cukier. “Let's get
real — lots of design is trial and error or boring, repetitive work. AI can help with both by making more
accurate predictions of what designs will work and taking over some of the repetitive tasks.”
Others agree that, for the moment, partnering with third party AI specialists is the way forward. “The
smartest thing a business can do, is partner with a fashion-focused tech company with AI at its core,”
says Geoff Watts of Edited. “Building AI teams from scratch, or acquiring AI start-ups and retrofitting
them to have a retail focus, requires a substantial investment of time and money.”
businessoffashion.com/articles/fashion-tech
www.technologyreview.com
Jonathan Zornow, the sole employee of a new startup called Sewbo, thinks the U.S. could
bring garment manufacturing a little closer to home by automating the feeding of fabric
into sewing machines—a step that to this day is done by hand. Zornow has created a
process by which a robotic arm guides chemically stiffened pieces of fabric through a
commercial sewing machine.
Apparel companies often move their manufacturing to countries where wages are
lower in a perpetual quest to cut costs. The Center for American Progress
found that in 2011, 15 of the top apparel exporters to the U.S. paid their Chinese
garment workers an average monthly real wage of $324.90. Bangladeshi workers
earned just $91.45. Meanwhile, U.S. sewing machine operators earn an average monthly
wage of $1,922, according to the Bureau of Labor Statistics.
Part of its selling point is that Sewbo users can design and begin mass producing a new
garment style in a day, as opposed to the months it typically takes to manufacture and
ship a new garment design. Such a feat would certainly bring new meaning to the term
“fast fashion.”
5. Fashion design Deep learning for design
Created in partnership with U.K.-based digital design studio Stinkdigital, Project Muze constitutes a
specially built engine that uses a neural network trained with the design preferences (color, texture, and
style) of more than 600 fashion “trendsetters” and features data from the Google Fashion Trend Report,
in addition to styles that have trended on Zalando itself.
http://www.stinkdigital.com/work/zalando-project-muze
venturebeat.com/2016/09/02
We started Project Creaite last winter to see the capabilities of deep learning and computer
vision algorithms in creative work such as fashion design and product design. The first version was
focused on creating product pictures for items from fashion vertical such as apparel and accessories.
We finally got some time to write about it and share what we did through a blog post here.
As we all know, Artificial Intelligence is finally here in its narrow form and ready to be helpful to
solve specific problems for which we have readily available data. At Artifacia Research we have
spent some time studying in detail about generative models. In phase one of Project Creaite, we used
an encoder-decoder scheme to get promising results and built a prototype a few months ago that can
come up with new designs for fashion products after being fed with enough number of examples.
We at Artifacia Research believe that the further development of this technology can help bring a lot
of efficiency in fashion design in particular and product design in general. We are really excited
by the possibilities of Deep Learning and AI and so we would be investing our time to take this project
to the next level very soon.
research.artifacia.com
Example results from our generative network“Using data from so many different sources in such a complex algorithm is not going to produce something exact, intricate, or least of all,
conforming to design norms. As you can see in the pictures attached below, the machine tends to spit out some seriously strange
designs, but with an element of cool and human to them because of their inspirations and origins. An option is presented to answer
more questions and further customize a given design, as well; this option matches the user up with a whole new pattern, style, or
shape, and shows how that trait would apply to the outfit on show. While some of these are downright impractical and most of them
would get you more than a few strange looks in public, the fact that a machine is capable of this sort of thing at all speaks volumes
about the hard work that many talented people have put into the field of machine learning down the years.” - androidheadlines.com
6. Fashion manufacturing Local customized high fashion?
ROBOTIC MANUFACTURING
Locally near the customer (let it be Tokyo, London or New York)
Make It luxurious and unique
No need for child labor in Asia, and only raw textiles need to be shipped
REFERENCES
Scanning instead of trying-on: Custom-made clothes with 3D Laser Scanning (LMS400 from SICK)
Explore Cornell - The 3D Body Scanner - Made-to-Measure
Movie: 3D scanning used to create unique fitted clothes - Dezeen
The DittoForm – A 3D Body Scan Dressform « bits of thread sewing studio
Volumental and Their 3D Scanning Technology is Bringing Custom Fit Shoes to the US
9. Fashion shopping Shopping Assistants #3
http://www.racked.com/2014/3/19/
https://indico.io/blog/fashion-matching-tutorial/
Deep Learning Opportunities
in Fashion Deep Learning is the
buzz word in Artificial Intelligence these
days. But what is it all about?
www.picalike.com/blog/2014/02/20
http://multithreaded.stitchfix.com/blog/2015/09/17/deep-style/
https://arxiv.org/abs/1609.07859
http://dx.doi.org/10.1007/978-3-319-10590-1_31
Cited by 40
10. Fashion stylist Augmenting the human?
… me sharing not only obvious information like my size, desired price range and
“daringness” (with “daring” defined as wearing floral shirts or shorts with blazers),
but also helping her work out my actual style preferences by telling her brands I
like and flicking through endless pictures of well-dressed men to highlight the looks I
want.
This is no AI horror story, though. My stylist Sophie Bailey-Hine is very real, and her
and her colleagues at Thread, a British startup that was founded in 2012, are
currently helping 480,000 men find a new image, dress well, or simply sort out their
clothes shopping.
“All through, my goal with this business is not really to build a niche quirky retail
thing. The majority of men want to dress decently, and don’t particularly love
shopping that much. So if you can find a way to spend way less time on it, with a
much much better result, I think it’s what the majority of men would use. And so I see
this as building a new default for how the majority of men buy clothes.”
The startup won a position in the prestigious Y Combinator accelerator in San
Francisco, a sort of three-month boot-camp for startups, which led to one of its first
paying customers being Instagram CEO Kevin Systrom. But after graduating, it
moved from San Francisco back to London, and after a stint in trendy Shoreditch is
now further east in a decidedly less cool part of Whitechapel.
From day one, the stylists were working as much to teach the algorithm how to aid them
as they were to get the best clothes to customers. …Now, the algorithm works better,
letting a stylist lay out the skeleton of an outfit while filling in the specifics and targeting
who actually receives it as part of their picks.
It also allows for the stylist’s own taste to filter through. “I’m obsessed with simple
Scandinavian clothes,” Bailey-Hine tells me, “while my fellow stylist Sam is big into street
style and Freddie is our very own suiting expert – everyone has their own thing.”
In a world where fears of robots “taking jobs” is rife, Thread offers some hope. Yes,
eight stylists are doing the jobs of hundreds or thousands in a pre-AI age; but
those eight are working with AI, not for it. And besides, Sophie says, “one of the best
things I can do as a stylist is to look at photos of a guy and within a few seconds think,
‘OK, he’d look better if he was wearing a slimmer jean, he could make that navy suit look
more interesting with a knit tie, and he’d look really good in a light Private White V.C
jacket for a sharper take on his utilitarian vibe.’https://www.thread.com/
theguardian.com/technology/2016/jul/19/
11. Makeup 3D print your pigments and makeup
Picture this: you snap a photo of
a tropical purple flower and in
less than two minutes you can
print a lipstick in that exact color.
And you’ll do it at home with
Mink, your personal 3D printer.
https://makeuphacker.myshopify.com/
forbes.com
https://www.foreo.com/institute/moda/
While waiting for Mink, women may have yet
another incredibly innovate option when it
comes to makeup, and yes it also uses
3D printing technology. Stockholm, Sweden-
based skincare company, Foreo, has just
unveiled MODA, ‘the world’s first digital
makeup artist’.
Digital makeup artistry
12. Makeup Algorithmic analysis and generation
https://arxiv.org/abs/1604.07102
Our system has two functions. I: recommend the most suitable makeup for each before-
makeup face II: transfer the foundation, eye shadow and lip gloss from the reference to
the before-makeup face. The lightness of the makeup can be tuned. Pay special attention
to eye shadow, lip gloss and foundation transfer.
Publication number: WO2015127394 A1
Publication type: Application
Application number: PCT/US2015/017155
Publication date: Aug 27, 2015
Filing date: Feb 23, 2015
Priority date: Feb 23, 2014
Inventors: Yun Fu, Shuyang Wang
Applicant: Northeastern University
Export Citation: BiBTeX, EndNote, RefMan
Patent Citations (5), Non-Patent Citations (3),
Classifications (7),Legal Events (2)
External Links: Patentscope, Espacenet
https://www.google.com/patents/WO2015127394A1?cl=en
13. Physical Product Design Parametric AI augmentation
http://www.getlittlebird.com/blog/3d_printing_plus_artificial_intelligence
Part of a 30 day series on the intersection of AI, and a wide
variety of other exponential technologies as explored by cross-
over influencers and experts.3D printing has the potential to
massively democratize access to manufacturing - but what if it went
even further than puting fabrication into the hands of all people?
Imagine 3D printing in the hands of machine intelligence. Artificial
intelligence plus 3D printing could yield some really transformative
experiences. Who’s paying the most attention to that intersection?
architectmagazine.com
Daedalus Pavilion is Ai Build's latest construction, 3D printed in 3 weeks by
industrial robots, using the latest technology in artificial intelligence, deep
learning, computer vision and robotics. Ai Build teamed up with partners
NVIDIA, Arup, KUKA Robotics and Formfutura to create Daedalus Pavilion as
part of the GPU Technology Conference in Amsterdam. pinterest.com
#next_top_architects #roboticfabrication #newbaby
#fibrousthread #arduino nexttoparchitects.orgdezeen.com/2015/08/26
Designer and researcher Neri Oxman and her
Mediated Matter group atMIT Media Lab
PARAMETRIC 'PORN'
Iris Van Herpen, Neri Oxman, Ana Rajcevic Studio
14. Jewelry Design Easy target for AI optimization
Ontic Design developed 3D-printed silver and gold bracelets that consumers
can design for themselves. You can go onto the website, choose the design
and create a piece of art that's coloured onto a glass plate sliding onto the
bracelet. It's one of the world's first print-on-demand jewellery companies
and the products are beautiful.
Artificial intelligence techniques are reviewed in intentions of developing algorithmic designs, and
assisting hard computations and parameter optimizations in designing and casting. With those
computer advanced technologies, major challenges and solutions are systematically discussed and
commented to address new developments for jewelry industry.
In general, product design process begins with identifying
customer needs, concept generation, concept selection,
evaluation, and prototyping. Several AI techniques have
been applied to assist designers in almost all stages of
product design. For instances, customer needs was
identified using the concepts of Quality Function
Deployment (QFD) and fuzzy set theory and fuzzy
inference. Product form was automatically created using
EA, fuzzy logic, hybrid of fuzzy, neural network and
genetic algorithms (GA), and hybrid of neural network and
kansei expert system. Fuzzy logic technique was also
applied to evaluate and select design concepts. Affective
user satisfaction was analyzed and modeled using a
fuzzy rule-based method.
In production, several researches had been applied AI
techniques for optimizing process parameters or predicting
some consideration properties, which can be applied the
concepts to jewelry casting such as the attempt that used
GA and ANN in porosity minimization of aluminum casting,
the application of GA in shape and process parameter
optimization, the optimization of product quality of casts
using heuristic search techniques and by using GA and
knowledge base.
https://onticdesign.com/en/about
http://dx.doi.org/10.1145/2807442.2807448
http://web2.eng.nu.ac.th/nuej/file/journal/NUEJ_Vol6_1_2011_paper06.pdf
15. Web site design And beyond Adobe Creative Suite
TheGrid.io the first artificially intelligent website-
design tool
Upload photographs that capture the mood and
feeling of your brand and The Grid matches them.
The Grid tries to understand your website design
needs through algorithms and the results are
promising. Tell it you want an eCommerce store, blog
and testimonials and a unique website is put together
with fonts and colours based on uploaded
photographs and more.
How can designers adapt?
1) Join the AI party Change your skillset and learn to code. Develop your own The Grid and become a
platform enabling consumers to design things for themselves.
2) Diversify your design skills to survive. Digital design which has strong structure-based frameworks will be
the first to succumb to AI's computer might: website design, digital publishing, app design... We're even seeing AI
being applied to TV show openings. Diversify towards work that requires human empathy – the one weakness
of computers – and creative storytelling to survive. Fashion films shine a light here.
In case these changes to design sound familiar to you, you're right, they are. Before Adobe released its creative
suite in 2003 digital artists had to programme their own effects, filters and templates. Motion graphics stem
from the demoscene of the eighties where groups of hackers would crack software then put a little graphical
intro at the beginning to show it was cracked. These graphics led to groups of mostly males – FullScream
included – competing to see who could make the best graphics using the limited computing power available;
these were called Demos.
And when Adobe started bringing out its software, oh boy, did people moan. Can you imagine it, people
complaining about the advent of Illustrator, Photoshop and After Effects? People wouldn't have to learn to
code anymore – the core skill then of digital creativity – and so bland artwork that all looks the same was
feared.
But what happened instead? A huge explosion in the quality, quantity and diversity of design. Millions more
people were given the toolset to make their ideas reality. It created a new industry and tens of thousands of
new jobs. The same will happen with the AI revolution. An industry will be created around developing AI
applications and digital designers will have to re-learn how to code. The movement will also spawn pseudo-AI
digital art with the decisions made being a combination of computer and human thoughts.
For example, a computer program could analyse the millions of photos on Instagram and understand what
trends and styles of imagery are gaining traction. It could choose colours, filters and effects that have the most
interaction within target markets. A draft picture could be created and then you, humble human designer, could
use it as a starting point for your own work.
www.digitalartsonline.co.uk
https://www.youtube.com/watch?v=OXA4-5x31V0
https://www.youtube.com/watch?v=tdWs_ZJL2c8 https://www.youtube.com/watch?v=Tda7jCwvSzg
http://prisma-ai.com/
https://www.youtube.com/watch?v=9c4z6YsBGQ0
DEMOSCENE PHOTOSHOPDEMOSCENE
AI FILTER
AI TOOL
16. Videography Generative models everywhere
Magic Pony Technology, created by graduates of
Imperial College London with expertise in statistics,
computer vision, and neuroscience, trains large
neural networks to process visual information.
technologyreview.com
techcrunch.com/2016/06/20/
Everyone can shoot video but few can record or afford a legal soundtrack. Until now. With
Jukedeck’s new artificial intelligence music composition technology, creators can get a cheap, royalty free
soundtrack custom-made for their video. Jukedeck users don’t even need musical talent. They just select the
mood, style, tempo and length, and Jukedeck returns a unique song to match their short film, YouTube
series or 6-second Vine.
http://web.mit.edu/vondrick/tinyvideo/
17. Virtual and Augmented Reality Low-hanging fruit
Although it looks like a real woman, the ultra-lifelike figure in this music video
is actually a digital model created using high-resolution 3D scans. London-
based multimedia studios Marshmallow Laser Feast and Analog teamed up to
create the video, called Memex, which is currently on show as part of the
Istanbul Design Biennial 2016.
https://www.youtube.com/watch?v=ALc4xoy3-Yk
variety.com/2016
dezeen.com/2016/10/21
dailymail.co.uk/sciencetech
Image Courtesy:- http://www.vrguru.com
thebimhub.com/2015/07/28, BIM, AEC, Autodesk
augment.com/augmented-reality-architecture
Image-guided medical procedures
spl.harvard.edufortune.com/2016/04/12
19. Photography Automatic curation
Posted on February 29, 2016 by Appu Shaji
3 Comments Tagged cuDNN, Deep Learning,
Machine Learning, photography, Theano,
Torch
EyeEm is a community and marketplace for passionate photographers. More than 15 million
photographers use EyeEm to share their photos, connect with other photographers,
improve their skills through masterclasses, get recognition through our photography missions and
exhibitions, andearn money by licensing their photos. The following video shows the impact of our
deep-learning-based automatic aesthetic curation on the EyeEm search experience—read on
to learn more about how it is done.
https://vimeo.com/154364175#at=55
At EyeEm we develop technology that helps photographers tell their stories and get
discovered. We believe there are two ingredients that contribute to the success of a
photograph: 1) the story behind the photograph, and 2) the way that story is told.
Automatic image tagging technologies from companies like EyeEm,
Google Cloud Vision, Flickr, and Clarifai are quickly approaching maturity and
helping to tell the stories behind photographs by indexing or tagging them to make
them discoverable.
Visual aesthetics addresses the way each story is told; specifically, how the visual
style and composition create an emotional connection with the viewer by using
structure and cues that draw attention toward (and away) from the constituent story
elements of the photographer’s choice.
Our objective is to compare images and learn the commonalities between well-
crafted photographs, and the differences between well-crafted and mediocre
photos. A loss function that can express this is as
an extension of the hinge loss function, Researchers have explored such loss functions
in image similarity, metric learning and face identification settings with great
success in the past (Chechik2010 , Norouzi2011, Schroff2015). In a larger context,
such energy functions fall into the class of implicit regression (LeCun06), where the
loss function penalizes the constraint that input variables must satisfy.
As a photography-first company, we validate
our assumptions with our internal curators
and reviewers, who spend the major part of
their working day curating photographs. We
track the time they spend on curation tasks
where the image list is prioritized via the
aesthetic rank vs. the default sort order.
Using deep learning, we have been able to
reduce curation time by 80%.
[Chechik 2010] G. Chechik, V. Sharma, U. Shalit, S. Bengio, Large Scale Online Learnings of Image Similarity Through
Ranking, Journal of Machine Learing Research 11, 2010
[Norouzi 2011] M. Norouzi, D. Fleet, Minimal Loss Hashing for Compact Binary Codes, International Conference in
Machine Learning (ICML), 2011.
[Schroff 2015] F. Schroff, D. Kalenichenko, J. Philbin , FaceNet: A Unified Embedding for Face Recognition and
Clustering, ArXiV : 1503.03832, 2015
[LeCun 2006] Y. LeCun, S. Chopra, R. Hadsell, M. Ranazato, F. J. Huang, A Tutorial on Energy-Based Learning,
Predicting Structured Data, 2006
20. Photography/Imaging → Generative Photorealistic CGI
https://www.youtube.com/watch?v=R1-Ef54uTeU
theverge.com/2014/8/29
http://www.cgsociety.org/index.php/cgsfeatures/cgsfeaturespecial/building_3d_with_ikea
So where are the deep learning / algorithms putting CG artists out of business?
These approaches still require manual work
https://blogs.nvidia.com/blog/2015/08/11/photorealistic/
This manuscript describes recently developed
technologies for better handling of image
information: photorealistic visualization of medical
images with Cinematic Rendering, artificial agents
for in-depth image understanding, support for
minimally invasive procedures, and patient-specific
computational models with enhanced predictive
power.
“From physical model to beautiful render”
https://arxiv.org/abs/1605.02029
21. Photography Smart imaging (of course)
AI Enabled vs Phase Detect Autofocusing by Jafaar Almusaad
http://cognitionx.com/ai-better-photography/
The Frankencamera F3, an experimental computational photography
camera platform. The camera runs Linux, and its metering, focusing,
demosaicing, denoising, white balancing, and other processing is
programmable. https://graphics.stanford.edu/projects/camera-2.0/
Non-AI based insipration in 'smart cameras'
Frankencamera F2
http://prolost.com/blog/lightl16
https://light.co/
Manuscripts are solicited to address a wide
range of topics on computer vision techniques
and applications focusing on computational
photography tasks, including but not limited to
the following:
●
Advanced image processing
●
Computational cameras
●
Computational illumination
●
Computational optics
●
High-performance imaging
●
Multiple images and camera arrays
●
Sensor and illumination hardware
●
Scientific imaging and videography
●
Organizing and exploiting photo/video
collections
●
Vision for graphics
●
Graphics for vision
wikicfp.com
www.ximea.com
Smart cameras with GPU enhancement
artefactgroup.com
22. Floral Business Disruptive business models
http://time.com/4117334/valentines-day-flower-delivery-startups/
http://fortune.com/2016/02/03/bloomthat-nationwide-delivery/
For a few years, flower delivery startups have emerged to try and grab a share of the $4 billion online flower industry.
No generative approaches to design floral bouquets or something similar imho. Only image recognition mainly for AgTech purposes.
They packed up and moved to San Francisco, and were accepted into the startup bootcamp Y Combinator's 2013 class.
They named the company they created BloomThat, and set out to create bouquets for same-day delivery that are more
lovely and seasonal than even local florists could pull off.
Along with several other startups in major metros around the country, Farmgirl Flowers is set on
reinventing the roughly $10 billion business of buying flowers. “Everyone says the flower industry
is a dying industry because flower shops don’t work with the overhead, and the flower companies
don’t offer what people want,” says Stembel, the company’s sole founder. “I just saw this and
thought this is absurd. How has nobody done anything in this industry?”