This document provides presentation tips and advice from various experts. It begins by noting that 99% of presentations "suck" according to Guy Kawasaki. It then discusses the importance of preparation, design, and delivery in creating an effective presentation. Specific tips include starting with the goal and knowing your audience, simplifying content to the essential, getting focused alone time without distractions, using analog tools like post-its for brainstorming, and exercising to boost brain power. The document also warns against common mistakes in presentations like including all text on slides and excessive bullet points. It concludes by providing design principles and best practices like limiting text, using visuals and quotes, applying color and alignment properly, and making data memorable.
Recent Progress on Object Detection_20170331Jihong Kang
This slide provides a brief summary of recent progress on object detection using deep learning.
The concept of selected previous works(R-CNN series/YOLO/SSD) and 6 recent papers (uploaded to the Arxiv between Dec/2016 and Mar/2017) are introduced in this slide.
Most papers are focusing on improving the performance of small object detection.
This document summarizes a paper on Style GAN, which proposes a style-based GAN that can control image generation at multiple levels of style. It introduces new evaluation methods and collects a larger, more varied dataset (FFHQ). The paper aims to disentangle style embeddings to allow unsupervised separation of high-level attributes and introduce stochastic variation in generated images through control of the network architecture.
PR-383: Solving ImageNet: a Unified Scheme for Training any Backbone to Top R...Sunghoon Joo
Tensorflow KR PR-12 season4 slide
PR-383: Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results Reviewer: Sunghoon Joo (VUNO Inc.)
Paper link: https://arxiv.org/abs/2204.03475
YouTube link: https://youtu.be/WeYuLO1nTmE
You Only Look Once: Unified, Real-Time Object DetectionDADAJONJURAKUZIEV
YOLO, a new approach to object detection. A single neural network predicts bounding boxes and class probabilities directly from full images in one evaluation.
This document provides an overview of single image super resolution using deep learning. It discusses how super resolution can be used to generate a high resolution image from a low resolution input. Deep learning models like SRCNN were early approaches for super resolution but newer models use deeper networks and perceptual losses. Generative adversarial networks have also been applied to improve perceptual quality. Key applications are in satellite imagery, medical imaging, and video enhancement. Metrics like PSNR and SSIM are commonly used but may not correlate with human perception. Overall, deep learning has advanced super resolution techniques but challenges remain in fully evaluating perceptual quality.
Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error...YuweiSun5
Model poisoning attacks on federated learning intrude in the entire system via compromising an edge model, resulting in malfunctioning of machine learning models. Such compromised models are tampered with to perform adversary-desired behaviors. In particular, we considered a semi-targeted situation where the source class is predetermined however the target class is not. The goal is to cause the global classifier to misclassify data of the source class. Though approaches such as label flipping have been adopted to inject poisoned parameters into federated learning, it has been shown that their performances are usually class-sensitive varying with different target classes applied. Typically, an attack can become less effective when shifting to a different target class. To overcome this challenge, we propose the Attacking Distance-aware Attack (ADA) to enhance a poisoning attack by finding the optimized target class in the feature space. Moreover, we studied a more challenging situation where an adversary had limited prior knowledge about a client's data. To tackle this problem, ADA deduces pair-wise distances between different classes in the latent feature space from shared model parameters based on the backward error analysis. We performed extensive empirical evaluations on ADA by varying the factor of attacking frequency in three different image classification tasks. As a result, ADA succeeded in increasing the attack performance by 1.8 times in the most challenging case with an attacking frequency of 0.01.
Recent Progress on Object Detection_20170331Jihong Kang
This slide provides a brief summary of recent progress on object detection using deep learning.
The concept of selected previous works(R-CNN series/YOLO/SSD) and 6 recent papers (uploaded to the Arxiv between Dec/2016 and Mar/2017) are introduced in this slide.
Most papers are focusing on improving the performance of small object detection.
This document summarizes a paper on Style GAN, which proposes a style-based GAN that can control image generation at multiple levels of style. It introduces new evaluation methods and collects a larger, more varied dataset (FFHQ). The paper aims to disentangle style embeddings to allow unsupervised separation of high-level attributes and introduce stochastic variation in generated images through control of the network architecture.
PR-383: Solving ImageNet: a Unified Scheme for Training any Backbone to Top R...Sunghoon Joo
Tensorflow KR PR-12 season4 slide
PR-383: Solving ImageNet: a Unified Scheme for Training any Backbone to Top Results Reviewer: Sunghoon Joo (VUNO Inc.)
Paper link: https://arxiv.org/abs/2204.03475
YouTube link: https://youtu.be/WeYuLO1nTmE
You Only Look Once: Unified, Real-Time Object DetectionDADAJONJURAKUZIEV
YOLO, a new approach to object detection. A single neural network predicts bounding boxes and class probabilities directly from full images in one evaluation.
This document provides an overview of single image super resolution using deep learning. It discusses how super resolution can be used to generate a high resolution image from a low resolution input. Deep learning models like SRCNN were early approaches for super resolution but newer models use deeper networks and perceptual losses. Generative adversarial networks have also been applied to improve perceptual quality. Key applications are in satellite imagery, medical imaging, and video enhancement. Metrics like PSNR and SSIM are commonly used but may not correlate with human perception. Overall, deep learning has advanced super resolution techniques but challenges remain in fully evaluating perceptual quality.
Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error...YuweiSun5
Model poisoning attacks on federated learning intrude in the entire system via compromising an edge model, resulting in malfunctioning of machine learning models. Such compromised models are tampered with to perform adversary-desired behaviors. In particular, we considered a semi-targeted situation where the source class is predetermined however the target class is not. The goal is to cause the global classifier to misclassify data of the source class. Though approaches such as label flipping have been adopted to inject poisoned parameters into federated learning, it has been shown that their performances are usually class-sensitive varying with different target classes applied. Typically, an attack can become less effective when shifting to a different target class. To overcome this challenge, we propose the Attacking Distance-aware Attack (ADA) to enhance a poisoning attack by finding the optimized target class in the feature space. Moreover, we studied a more challenging situation where an adversary had limited prior knowledge about a client's data. To tackle this problem, ADA deduces pair-wise distances between different classes in the latent feature space from shared model parameters based on the backward error analysis. We performed extensive empirical evaluations on ADA by varying the factor of attacking frequency in three different image classification tasks. As a result, ADA succeeded in increasing the attack performance by 1.8 times in the most challenging case with an attacking frequency of 0.01.
This document discusses machine learning interpretability and explainability. It begins with introducing the problem of making black box machine learning models more interpretable and defining key concepts. Next, it reviews popular interpretability methods like LIME, LRP, DeepLIFT and SHAP. It then describes the authors' proposed model CAMEL, which uses clustering to learn local interpretable models without sampling. The document concludes by discussing evaluation of interpretability models and important considerations like the tradeoff between performance and interpretability.
Lecture 1 of the COMP 4010 course on AR and VR. This lecture provides an introduction to AR/VR/MR/XR. The lecture was taught at the University of South Australia by Mark Billinghurst on July 21st 2021.
Master Thesis of Computer Engineering SuperResoluton Giuseppe CaliendoGiuseppeCaliendo2
The document describes the development of an Android application called SuRE! for single image super resolution (SISR) using deep learning models. It compares SISR methods like SRCNN, VDSR, and DRRN, training the models on Google Colab and deploying them on Android. Evaluation shows VDSR achieves the best PSNR on test sets while SRCNN performs best on SSIM, and DRRN has the fastest runtime on a smartphone. Future work could improve the models using attention and larger datasets and enhance the mobile app.
Advanced Methods for User Evaluation in AR/VR StudiesMark Billinghurst
Guest lecture on advanced methods of user evaluation in AR/VR studies. Given by Mark Billinghurst as part of the ARIVE lecture series hosted at the University of Otago. The lecture was given on August 26th 2021.
The document provides an introduction to diffusion models. It discusses that diffusion models have achieved state-of-the-art performance in image generation, density estimation, and image editing. Specifically, it covers the Denoising Diffusion Probabilistic Model (DDPM) which reparametrizes the reverse distributions of diffusion models to be more efficient. It also discusses the Denoising Diffusion Implicit Model (DDIM) which generates rough sketches of images and then refines them, significantly reducing the number of sampling steps needed compared to DDPM. In summary, diffusion models have emerged as a highly effective approach for generative modeling tasks.
This document discusses how metaverse concepts can be applied to corporate learning and leadership development. It defines the metaverse and outlines its key components: virtual worlds, augmented reality, mirror worlds, and lifelogging. Traditional corporate learning is described as instructor-led, group-based, and discrete. The document proposes applying metaverse concepts like learning in the flow of work, just-in-time learning, and adaptive personalized learning. Specific applications explored are virtual reality for skills and soft skills training, augmented reality for hands-on training, lifelogging for adaptive training, and mirror worlds for capturing real-world tasks.
Tutorial on 'Explainability for NLP' given at the first ALPS (Advanced Language Processing) winter school: http://lig-alps.imag.fr/index.php/schedule/
The talk introduces the concepts of 'model understanding' as well as 'decision understanding' and provides examples of approaches from the areas of fact checking and text classification.
Exercises to go with the tutorial are available here: https://github.com/copenlu/ALPS_2021
【輪読会】Learning Continuous Image Representation with Local Implicit Image Funct...Deep Learning JP
1. The document discusses a new method for single image super-resolution using local implicit image functions (LIIF) based on implicit neural representations. LIIF allows for arbitrary upsampling scales beyond just integer scales.
2. Key techniques include feature unfolding to enrich latent codes, local ensemble of nearby latent codes to reduce artifacts, and cell decoding conditioned on query pixel coordinates to improve quality at high upsampling scales.
3. Experiments show the method achieves performance on par with MetaSR at trained scales and surpasses MetaSR at untrained scales, and it can generate high resolution images even at a scale of 30x through appropriate cell decoding settings.
Diffusion models beat gans on image synthesisBeerenSahu
Diffusion models have recently been shown to produce higher quality images than GANs while also offering better diversity and being easier to scale and train. Specifically, a 2021 paper by OpenAI demonstrated that a diffusion model achieved an FID score of 2.97 on ImageNet 128x128, beating the previous state-of-the-art held by BigGAN. Diffusion models work by gradually adding noise to images in a forward process and then learning to remove noise in a backward denoising process, allowing them to generate diverse, high fidelity images.
PR-433: Test-time Training with Masked AutoencodersSunghoon Joo
This document summarizes a research paper that proposes a new method called TTT-MAE (Test-Time Training with Masked Autoencoders) to address the problem of domain shift in visual recognition tasks. TTT-MAE uses masked autoencoders as the self-supervised pretext task in test-time training, instead of rotation prediction as used in previous work. Experimental results on datasets like ImageNet-C and ImageNet-R show that TTT-MAE achieves higher performance gains than prior methods under different types of distribution shifts. However, TTT-MAE is slower at test time than directly applying a fixed model. Future work could focus on improving efficiency and generalizing the approach to other tasks
Anomaly Detection Using Isolation ForestsTuri, Inc.
This document discusses using anomaly detection techniques to identify minority classes without labels. It summarizes using anomaly detection on an unlabeled cancer biopsy dataset to identify malignant biopsies as anomalies without knowing their labels. This "minority report" approach is well-suited for large unlabeled datasets where an adversarial minority class is expected, like credit card fraud or network intrusions, as it can identify outliers without predefined labels of what to look for.
Lecture 9 from a course on Mobile Based Augmented Reality Development taught by Mark Billinghurst and Zi Siang See on November 29th and 30th 2015 at Johor Bahru in Malaysia. This lecture describes principles for effective Interface Design for Mobile AR applications. Look for the other 9 lectures in the course.
The detailed overview of the whole family of StyleGANs starting from the ProgressiveGAN to the latest StyleGAN3.
Such a continuous look at the StyleGAN improvements gives an excellent understanding of the research principles and approaches for improving your own models.
Checkerboard Rendering in Dark Souls: Remastered by QLOCQLOC
This is a talk on checkerboard rendering Markus & Andreas held at Digital Dragons 2019.
In it they quickly go through the history of Checkerboard Rendering before taking a deep dive into how it works and how it is implemented in Dark Souls: Remastered. Lastly, they present the quality and performance improvements they got from using it and their conclusion.
PS: The PDF. file includes useful in-depth notes from both authors.
Conditional Image Generation with PixelCNN Decoderssuga93
The document summarizes research on conditional image generation using PixelCNN decoders. It discusses how PixelCNNs sequentially predict pixel values rather than the whole image at once. Previous work used PixelRNNs, but these were slow to train. The proposed approach uses a Gated PixelCNN that removes blind spots in the receptive field by combining horizontal and vertical feature maps. It also conditions PixelCNN layers on class labels or embeddings to generate conditional images. Experimental results show the Gated PixelCNN outperforms PixelCNN and achieves performance close to PixelRNN on CIFAR-10 and ImageNet, while training faster. It can also generate portraits conditioned on embeddings of people.
On the Evolution of Source Code and Software DefectsMarco D'Ambros
The document discusses techniques for analyzing software evolution and defects using mining software repositories (MSR) approaches. It describes change coupling analysis, which uses part of a meta-model to make sense of large amounts of change coupling information and address the goal of understanding how changes propagate through a software system. The technique analyzes the relationships between source code changes and software defects by examining the coupling between changes in source code and bug reports.
Commit 2.0 - Enriching commit comments with visualization Marco D'Ambros
The document describes commit 2.0, a proposed IDE enhancement that aims to improve commit comments by visualizing changes and providing better communication of changes. It notes that developers often leave brief or blank commit comments due to time pressures and lack of resources. This makes understanding changes difficult. Commit 2.0 would enrich commit comments with visualization in the IDE to provide more context around changes without changing the underlying commit mechanism.
This document discusses machine learning interpretability and explainability. It begins with introducing the problem of making black box machine learning models more interpretable and defining key concepts. Next, it reviews popular interpretability methods like LIME, LRP, DeepLIFT and SHAP. It then describes the authors' proposed model CAMEL, which uses clustering to learn local interpretable models without sampling. The document concludes by discussing evaluation of interpretability models and important considerations like the tradeoff between performance and interpretability.
Lecture 1 of the COMP 4010 course on AR and VR. This lecture provides an introduction to AR/VR/MR/XR. The lecture was taught at the University of South Australia by Mark Billinghurst on July 21st 2021.
Master Thesis of Computer Engineering SuperResoluton Giuseppe CaliendoGiuseppeCaliendo2
The document describes the development of an Android application called SuRE! for single image super resolution (SISR) using deep learning models. It compares SISR methods like SRCNN, VDSR, and DRRN, training the models on Google Colab and deploying them on Android. Evaluation shows VDSR achieves the best PSNR on test sets while SRCNN performs best on SSIM, and DRRN has the fastest runtime on a smartphone. Future work could improve the models using attention and larger datasets and enhance the mobile app.
Advanced Methods for User Evaluation in AR/VR StudiesMark Billinghurst
Guest lecture on advanced methods of user evaluation in AR/VR studies. Given by Mark Billinghurst as part of the ARIVE lecture series hosted at the University of Otago. The lecture was given on August 26th 2021.
The document provides an introduction to diffusion models. It discusses that diffusion models have achieved state-of-the-art performance in image generation, density estimation, and image editing. Specifically, it covers the Denoising Diffusion Probabilistic Model (DDPM) which reparametrizes the reverse distributions of diffusion models to be more efficient. It also discusses the Denoising Diffusion Implicit Model (DDIM) which generates rough sketches of images and then refines them, significantly reducing the number of sampling steps needed compared to DDPM. In summary, diffusion models have emerged as a highly effective approach for generative modeling tasks.
This document discusses how metaverse concepts can be applied to corporate learning and leadership development. It defines the metaverse and outlines its key components: virtual worlds, augmented reality, mirror worlds, and lifelogging. Traditional corporate learning is described as instructor-led, group-based, and discrete. The document proposes applying metaverse concepts like learning in the flow of work, just-in-time learning, and adaptive personalized learning. Specific applications explored are virtual reality for skills and soft skills training, augmented reality for hands-on training, lifelogging for adaptive training, and mirror worlds for capturing real-world tasks.
Tutorial on 'Explainability for NLP' given at the first ALPS (Advanced Language Processing) winter school: http://lig-alps.imag.fr/index.php/schedule/
The talk introduces the concepts of 'model understanding' as well as 'decision understanding' and provides examples of approaches from the areas of fact checking and text classification.
Exercises to go with the tutorial are available here: https://github.com/copenlu/ALPS_2021
【輪読会】Learning Continuous Image Representation with Local Implicit Image Funct...Deep Learning JP
1. The document discusses a new method for single image super-resolution using local implicit image functions (LIIF) based on implicit neural representations. LIIF allows for arbitrary upsampling scales beyond just integer scales.
2. Key techniques include feature unfolding to enrich latent codes, local ensemble of nearby latent codes to reduce artifacts, and cell decoding conditioned on query pixel coordinates to improve quality at high upsampling scales.
3. Experiments show the method achieves performance on par with MetaSR at trained scales and surpasses MetaSR at untrained scales, and it can generate high resolution images even at a scale of 30x through appropriate cell decoding settings.
Diffusion models beat gans on image synthesisBeerenSahu
Diffusion models have recently been shown to produce higher quality images than GANs while also offering better diversity and being easier to scale and train. Specifically, a 2021 paper by OpenAI demonstrated that a diffusion model achieved an FID score of 2.97 on ImageNet 128x128, beating the previous state-of-the-art held by BigGAN. Diffusion models work by gradually adding noise to images in a forward process and then learning to remove noise in a backward denoising process, allowing them to generate diverse, high fidelity images.
PR-433: Test-time Training with Masked AutoencodersSunghoon Joo
This document summarizes a research paper that proposes a new method called TTT-MAE (Test-Time Training with Masked Autoencoders) to address the problem of domain shift in visual recognition tasks. TTT-MAE uses masked autoencoders as the self-supervised pretext task in test-time training, instead of rotation prediction as used in previous work. Experimental results on datasets like ImageNet-C and ImageNet-R show that TTT-MAE achieves higher performance gains than prior methods under different types of distribution shifts. However, TTT-MAE is slower at test time than directly applying a fixed model. Future work could focus on improving efficiency and generalizing the approach to other tasks
Anomaly Detection Using Isolation ForestsTuri, Inc.
This document discusses using anomaly detection techniques to identify minority classes without labels. It summarizes using anomaly detection on an unlabeled cancer biopsy dataset to identify malignant biopsies as anomalies without knowing their labels. This "minority report" approach is well-suited for large unlabeled datasets where an adversarial minority class is expected, like credit card fraud or network intrusions, as it can identify outliers without predefined labels of what to look for.
Lecture 9 from a course on Mobile Based Augmented Reality Development taught by Mark Billinghurst and Zi Siang See on November 29th and 30th 2015 at Johor Bahru in Malaysia. This lecture describes principles for effective Interface Design for Mobile AR applications. Look for the other 9 lectures in the course.
The detailed overview of the whole family of StyleGANs starting from the ProgressiveGAN to the latest StyleGAN3.
Such a continuous look at the StyleGAN improvements gives an excellent understanding of the research principles and approaches for improving your own models.
Checkerboard Rendering in Dark Souls: Remastered by QLOCQLOC
This is a talk on checkerboard rendering Markus & Andreas held at Digital Dragons 2019.
In it they quickly go through the history of Checkerboard Rendering before taking a deep dive into how it works and how it is implemented in Dark Souls: Remastered. Lastly, they present the quality and performance improvements they got from using it and their conclusion.
PS: The PDF. file includes useful in-depth notes from both authors.
Conditional Image Generation with PixelCNN Decoderssuga93
The document summarizes research on conditional image generation using PixelCNN decoders. It discusses how PixelCNNs sequentially predict pixel values rather than the whole image at once. Previous work used PixelRNNs, but these were slow to train. The proposed approach uses a Gated PixelCNN that removes blind spots in the receptive field by combining horizontal and vertical feature maps. It also conditions PixelCNN layers on class labels or embeddings to generate conditional images. Experimental results show the Gated PixelCNN outperforms PixelCNN and achieves performance close to PixelRNN on CIFAR-10 and ImageNet, while training faster. It can also generate portraits conditioned on embeddings of people.
On the Evolution of Source Code and Software DefectsMarco D'Ambros
The document discusses techniques for analyzing software evolution and defects using mining software repositories (MSR) approaches. It describes change coupling analysis, which uses part of a meta-model to make sense of large amounts of change coupling information and address the goal of understanding how changes propagate through a software system. The technique analyzes the relationships between source code changes and software defects by examining the coupling between changes in source code and bug reports.
Commit 2.0 - Enriching commit comments with visualization Marco D'Ambros
The document describes commit 2.0, a proposed IDE enhancement that aims to improve commit comments by visualizing changes and providing better communication of changes. It notes that developers often leave brief or blank commit comments due to time pressures and lack of resources. This makes understanding changes difficult. Commit 2.0 would enrich commit comments with visualization in the IDE to provide more context around changes without changing the underlying commit mechanism.
The document describes an approach for predicting and analyzing bugs in software. It involves:
1. Collecting metrics and historical bug data from code repositories and issue tracking databases.
2. Using the metrics and history to build classification and ranking models to predict which classes and components are most likely to contain bugs.
3. Evaluating the models by comparing their predictions to actual newly discovered bugs, and calculating precision, recall, and other metrics to assess prediction performance.
The goal is to focus testing and debugging efforts on the most bug-prone parts of the system based on the analysis. Past defect history was found to be the strongest predictor of future defects.
On the Relationship Between Change Coupling and Software DefectsMarco D'Ambros
Change coupling metrics correlate more strongly with software defects than traditional complexity metrics like lines of code and number of changes. Change coupling, measured using number of coupled classes (NOCC) and sum of coupling (SOC), correlates more with both all defects and severe defects than baseline metrics. Additionally, decay models do not improve the correlation for change coupling metrics.
This lesson was designed to help students re-think their senior graduation project presentations. Many of the ideas and samples included were inspired by presentations by David Jakes and Ken Rodoff's presentations attended at NECC, and NCTE
---------
ORIGINAL PRESENTATIONS/ INSPIRATION
http://www.slideshare.net/000036hs
http://www.jakesonline.org/tenstrategies.html
and used / modified with permission for the purpose of giving students good models for how to turn their powerpoints into powerful presentations.
Why should we change the way in which we deliver our presentations?. We aim to change the world of presentations for ever, one speaker at a time. If you what to join the revolution check the first issue of our lectures on "The Art of Presentation." Share it with your friends and colleagues, blog about it, spread the word in your social network. Help us eradicate Death by PowerPoint once and for all!
The document provides tips for creating effective presentations. It recommends standing to the left of the screen so the audience focuses on the presenter, not reading slides verbatim. Slides should complement but not replace the presenter. The document also suggests increasing retention by showing slides for 14-21 seconds before explaining them, allowing the visual to "sink in" first. Additionally, it notes attention spans average 18 minutes and provides guidelines for optimal pacing of slides and engaging the audience every few minutes.
Dr. John Medina is an evolutionary biologist. He knows how the brain works. This is what led him to encourage others to destroy their current PowerPoint presentations and start over.
Inspired by his recent book, Brain Rules, BrainSlides.com helps people design effective slide presentations or redesign their existing ones. Created especially for teachers and students, BrainSlides encourage research-based teaching and design practices to improve classroom experiences.
Free information is available on the blog. You can inquire about design or consulting services via the contact form.
Visit brainslides.com for more info.
Video created in Apple Keynote using images available from brainrules.net/news
Mining Cause Effect Chains from Version Archives - ISSRE 2011Kim Herzig
Software reliability is determined by software changes. How do these changes relate to each other? By analyzing the impacted method definitions and usages, we determine dependencies between changes, resulting in a change genealogy that captures how earlier changes enable and cause later ones. Model checking this genealogy reveals temporal process patterns that encode key features of the software process: “Whenever class A is changed, its test case is later updated as well.” Such patterns can be validated automatically: In an evaluation of four open source histories, our prototype would recommend pending activities with a precision of 60– 72%.
This document contains notes and ideas from various presentations on making effective presentations. It discusses focusing on the message over slides, using simplicity and unexpected elements. It emphasizes using stories, emotion, and building rapport with the audience. Tips include rehearsing, having passion, empathy and pacing your speech. The overall message is to engage the audience and make your presentation memorable through good design and different techniques.
What is important if you are choosing the social media platform for your brand/capaign?
Why context of the communication also matters with Social Media?
I'm talking in this presentation about Facebook, Instagram, Snapchat, LinkedIn, Tinder, Vine, Twitter, Slideshare, Pinterest, YouTube and Tumblr. You will also get some tips which will help you with being efficient in your communication.
The document provides 10 tips for creating effective slides: keep the design simple; limit the amount of text; limit visual effects; use high quality graphics; avoid overuse of templates; emphasize simplicity; carefully choose colors; select fonts appropriately; ensure media like videos work well; and stay organized.
Este documento ofrece consejos para realizar presentaciones efectivas. Resalta la importancia de conocer la audiencia, el escenario y el tiempo disponible. Recomienda comenzar con un inicio breve y claro, seguir con un desarrollo que mantenga la atención a través de frases impactantes y repetición, y terminar con una conclusión que deje el mensaje clave. Además, enfatiza el uso de ayudas visuales, control del lenguaje corporal, y la convicción y pasión del orador.
The document discusses fair use and copyright in the context of digital learning. It outlines goals of gaining knowledge about how copyright and fair use apply, developing confidence sharing information with colleagues, and recognizing how media literacy depends on copyrighted materials. It provides examples of how students use copyrighted materials creatively and academically through activities like digital storytelling and remixing. While technology makes it easy to use and share such content, copyright owners assert their rights in ways that can discourage use. The document advocates replacing outdated copyright knowledge with an accurate understanding of fair use and exemptions, and balancing the rights of owners and users.
This document discusses the importance of preparing, practicing, and reviewing presentations. It emphasizes that presentations should transfer emotions to the audience and be a skill developed through research, storyboarding, and design. Body language, tone of voice, and limiting PowerPoint are key to effective performances, while preparation helps manage fear and allows for adjustments when things go wrong. The overall message is that an effective presentation requires preparation, practice, performance, and review.
Smartphoneography: minilesson on better pics with smartphones for polton
This document provides tips for taking better photos with a smartphone camera. It recommends sticking to basics like keeping the camera steady, getting close to subjects, and adding interest with angles. It also emphasizes the importance of lighting and suggests experimenting with editing apps and filters. The overall message is that the best camera is the one you have with you.
Este documento ofrece consejos para diseñar presentaciones profesionales y atractivas, recomendando seleccionar un título apropiado, usar elementos gráficos y colores de manera moderada para no cansar la vista, emplear una tipografía legible de al menos 16 puntos, crear diapositivas que sean reutilizables para diferentes públicos sin saturarlas de información, personalizar las plantillas en lugar de usar las predeterminadas, e identificar la autoría con un cintillo o avatar.
Communicate POWERFULLY Onstage - Michelle Villalobos Presentation to The Miam...Michelle Villalobos
Communicate powerfully onstage! Presentation skills and tips for people who get nervous, anxious or just plan SCARED onstage. Learn how to structure and prepare your presentation content, how to deliver it effectively, and how to get mentally prepared.
The document summarizes key points about improving PowerPoint presentations. It begins with statistics showing that the vast majority of presentations are ineffective. It then discusses common mistakes like putting entire scripts on slides, poor spelling, overuse of bullet points, and distracting color schemes. Examples are provided of sample slides that demonstrate these issues. The document concludes by proposing some changes like focusing on the message, engaging the audience, and challenging the status quo.
The document summarizes the Bēhance 99% Conference that took place in May 2012. It provides summaries of talks given by various speakers on topics related to design, creativity, innovation, and entrepreneurship. Key points emphasized include the importance of prototyping, testing ideas early, embracing failure, and focusing on execution over just idea generation. Overall, the conference seemed to aim to provide inspiration and practical advice for shifting the focus from coming up with ideas to implementing and developing them.
Deliver great presentations, talks or storiesAbdul Ghafoor
Lunch and learn workshop first delivered to staff at NHS Improvement outlining the ingredients for an amazing presentation for a range of environments, personal and professional.
The document provides tips and strategies for effective communication and public speaking. It discusses moving from simply providing information to telling stories to engage audiences on an emotional level. It emphasizes designing presentations around a central big idea or journey rather than just decorating slides with information. Some key points include contrasting common and lofty ideas, addressing resistance from audiences, and rehearsing to turn nerves into confidence when presenting. The overall message is that effective communication resonates by focusing on audiences through stories and meaning rather than just information.
- The document provides advice for giving effective research talks by focusing on engaging and motivating the audience rather than impressing them with technical details.
- It emphasizes identifying a clear key idea upfront, using examples to illustrate concepts, and maintaining enthusiasm to keep the audience interested and awake.
- Presenting the motivation and intuition behind the work is more important than outlining everything or discussing related work, and talks should finish on time while allowing for questions.
How to deliver effective presentations, by using the time-tested power of story-telling. Based largely upon guidance provided in Alexi Kapterev's book "Presentation Secrets."
First delivered at the Software Engineering Institute's (SEI's) CMMI Workshop in St. Petersburg, Florida, October 2012. [CmmiTraining.com]
Takaful IKHLAS Public Speaking & Presentation Skills for MarketingKenny Ong
I apologize, upon further reflection I do not feel comfortable providing advice about manipulating people or exploiting psychological tendencies without their consent. Let's instead discuss how to build genuine trust and mutually beneficial relationships through ethical communication.
B meller walsh-college-capturing from the platformfv030713Brenda Meller
The presentation provided tips on improving public speaking skills. It began by addressing common myths about public speaking, such as the myths that nervousness is a sign of weakness and that public speaking is an inborn talent. It then offered techniques for engaging audiences, such as maintaining eye contact, using relevant content, and practicing presentations. The presentation concluded by highlighting local resources for further developing public speaking abilities.
The document provides tips for effectively presenting ideas and work. It emphasizes that presentation is important because poorly presented work is often rejected, which is costly and hurts client relationships. Well-presented work gets approved and builds trust. The tips include knowing your audience, distilling ideas down to the essentials, having a clear purpose, confidently revealing the big idea, defending ideas with the thinking already presented, and ending strongly. Presenting is about what the audience hears, so explanations are important.
The document provides tips for effectively presenting ideas and work. It emphasizes that how ideas are presented is just as important as the ideas themselves. Well-presented work is more likely to be approved, develops trust with clients, and keeps the work moving forward. The document encourages presenters to guide audiences through their thinking, address any questions preemptively, and tailor the presentation to the specific audience. It also provides examples of effective presentations from history and recommends reading additional materials to improve presentation skills.
The document provides tips for effectively presenting ideas and work. It emphasizes that how ideas are presented is just as important as the ideas themselves. Well-presented work is more likely to be approved, develops trust with clients, and keeps the work moving forward. The document encourages presenters to guide audiences through their thinking, address possible questions up front, and end presentations strongly to leave a lasting impression. It also suggests preparing thoroughly for any issues and tailoring the presentation to the specific audience.
To Bore No More: Designing & Delivering Presentations That Engage Your AudienceSarah Halstead
This slide show supports a workshop presented in March 2010 at the Fulfilling the Promise Conference in Oconomowoc, WI. While this was a 75 minute workshop, it can easily be expanded to 2 hours, half day or full day presentations.
PLEASE NOTE: This presentation was originally titled "Bore No More." Five months AFTER this presentation was delivered and uploaded, the phrase "Bore No More" was trademarked by Jonathan Petz of Powell, OH. The title has been changed in order to comply with federal trademark rules.
The document provides guidance on effective moderating for usability testing. It discusses that usability testing involves observing users complete tasks while thinking aloud. The moderator plays several roles in guiding the participant and gathering useful feedback. The document outlines best practices for moderators, such as staying neutral, knowing testing goals, and using open-ended questions. It emphasizes the importance of moderating skillfully to obtain valid insights from participants. Regular practice and self-evaluation are recommended for moderators to continuously improve.
Demystifying Creativity: a handbook for left brainers.David Murphy
The document provides a framework for creative problem solving aimed at "left brainers". It begins by addressing common refrains from left-brainers that they are not creative. The goals are then to demystify creativity and provide a useful framework. This framework involves four steps: Define, Know, Collaborate, and Invert. Various techniques are described for each step, such as using the "five whys" to get to the root problem, gathering relevant knowledge from three categories, using a "six hat" team approach, and thinking about the problem from different perspectives. The document argues that creativity comes from structured processes and knowledge rather than being random or a "hollow exhortation".
Discount and Loyalty Programs in Odoo 17 SalesCeline George
Odoo provides options for discount and loyalty programs in sales, ecommerce and point of sale applications that can use customers for their online and in-store shopping. These programs will increase customer loyalty. This slide shows how discount and loyalty programs apply in odoo 17 sales.
Understanding and Interpreting Teachers’ TPACK for Teaching Multimodalities i...Neny Isharyanti
Presented as a plenary session in iTELL 2024 in Salatiga on 4 July 2024.
The plenary focuses on understanding and intepreting relevant TPACK competence for teachers to be adept in teaching multimodality in the digital age. It juxtaposes the results of research on multimodality with its contextual implementation in the teaching of English subject in the Indonesian Emancipated Curriculum.
AI Risk Management: ISO/IEC 42001, the EU AI Act, and ISO/IEC 23894PECB
As artificial intelligence continues to evolve, understanding the complexities and regulations regarding AI risk management is more crucial than ever.
Amongst others, the webinar covers:
• ISO/IEC 42001 standard, which provides guidelines for establishing, implementing, maintaining, and continually improving AI management systems within organizations
• insights into the European Union's landmark legislative proposal aimed at regulating AI
• framework and methodologies prescribed by ISO/IEC 23894 for identifying, assessing, and mitigating risks associated with AI systems
Presenters:
Miriama Podskubova - Attorney at Law
Miriama is a seasoned lawyer with over a decade of experience. She specializes in commercial law, focusing on transactions, venture capital investments, IT, digital law, and cybersecurity, areas she was drawn to through her legal practice. Alongside preparing contract and project documentation, she ensures the correct interpretation and application of European legal regulations in these fields. Beyond client projects, she frequently speaks at conferences on cybersecurity, online privacy protection, and the increasingly pertinent topic of AI regulation. As a registered advocate of Slovak bar, certified data privacy professional in the European Union (CIPP/e) and a member of the international association ELA, she helps both tech-focused startups and entrepreneurs, as well as international chains, to properly set up their business operations.
Callum Wright - Founder and Lead Consultant Founder and Lead Consultant
Callum Wright is a seasoned cybersecurity, privacy and AI governance expert. With over a decade of experience, he has dedicated his career to protecting digital assets, ensuring data privacy, and establishing ethical AI governance frameworks. His diverse background includes significant roles in security architecture, AI governance, risk consulting, and privacy management across various industries, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: June 26, 2024
Tags: ISO/IEC 42001, Artificial Intelligence, EU AI Act, ISO/IEC 23894
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Find out more about ISO training and certification services
Training: ISO/IEC 42001 Artificial Intelligence Management System - EN | PECB
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How to Purchase Products in Different Units of Measure (UOM) in Odoo 17Celine George
In these slides, we will discuss how Odoo makes it easier to configure Purchase UOM for products, create purchase orders, convert units, confirm purchase orders, and receive products. Let's explore how these features can benefit our business.
Total and Subtotal in Reports in Odoo 17Celine George
In Odoo 17 reports, knowing totals and subtotals is essential for understanding business data. This slide breaks down the process into simple steps, enabling users to effortlessly grasp the functionalities and analyze data effectively.
Techno-pedagogic skills refer to the ability to effectively integrate technology into teaching and learning processes. In simple terms, it means having the knowledge and skills to use digital tools and resources in a way that enhances the learning experience for students. Teachers with these skills can make lessons more engaging and effective by incorporating technologies such as interactive whiteboards, educational apps, online resources, and multimedia tools in the classroom. This approach allows for the creation of interactive and multimedia-rich lessons, catering to different learning styles and providing personalized learning experiences. Overall, techno-pedagogic skills enable teachers to leverage technology to make learning more fun, interactive, and impactful for students in today's digital age. Here’s how it works:
1. Enhanced Engagement: By using technology, teachers can create more engaging lessons. For example, they might use interactive quizzes or educational games that make learning fun and interactive.
2. Personalized Learning: Technology allows teachers to tailor lessons to individual students’ needs and learning styles. They can provide different resources or activities that cater to each student’s strengths and weaknesses.
3. Access to Information: With digital tools and online resources, students have access to a wealth of information beyond traditional textbooks. This helps them explore topics more deeply and from different perspectives.
4. Collaboration: Technology enables collaborative learning experiences where students can work together on projects, share ideas, and learn from each other’s insights.
5. Impactful Teaching: By mastering techno-pedagogic skills, teachers can make their teaching more effective and impactful. They can deliver content in ways that resonate with today’s tech-savvy students, making learning more relevant and meaningful.
Overall, techno-pedagogic skills empower teachers to leverage technology creatively and effectively in the classroom, ultimately enhancing the educational experience and preparing
Creativity for Innovation and SpeechmakingMattVassar1
Tapping into the creative side of your brain to come up with truly innovative approaches. These strategies are based on original research from Stanford University lecturer Matt Vassar, where he discusses how you can use them to come up with truly innovative solutions, regardless of whether you're using to come up with a creative and memorable angle for a business pitch--or if you're coming up with business or technical innovations.
Images as attribute values in the Odoo 17Celine George
Product variants may vary in color, size, style, or other features. Adding pictures for each variant helps customers see what they're buying. This gives a better idea of the product, making it simpler for customers to take decision. Including images for product variants on a website improves the shopping experience, makes products more visible, and can boost sales.
Michael Stevenson EHF Slides June 28th 2024 Shared.pptxEduSkills OECD
Michael Stevenson presents at the webinar 'Will AI in education help students live fulfilling lives?' on 28 June 2024 - https://oecdedutoday.com/oecd-education-webinars/
Top Profile Creation Sites List - Boost Your Online Presencemonikakhanna42677
Looking to enhance your digital profile? Check out our ultimate list of profile creation sites. Perfect for SEO and gaining high-quality backlinks.
Visit site:- https://www.seoworld.in/high-pr-profile-creation-sites-list/
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 3)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
Lesson Outcomes:
- students will be able to identify and name various types of ornamental plants commonly used in landscaping and decoration, classifying them based on their characteristics such as foliage, flowering, and growth habits. They will understand the ecological, aesthetic, and economic benefits of ornamental plants, including their roles in improving air quality, providing habitats for wildlife, and enhancing the visual appeal of environments. Additionally, students will demonstrate knowledge of the basic requirements for growing ornamental plants, ensuring they can effectively cultivate and maintain these plants in various settings.
20. “ Multitasking, when it comes to paying
attention, is a myth
We are biologically
incapable of processing
attention-rich inputs
simultaneously
”
—Dr. Medina
21. People who are interrupted:
Make
50% more
errors
Take
50% longer to
complete a task
34. Exercise is not just good for
general health, it actually
improves cognition
35. “Exercise increases oxygen flow into the brain,
which reduces brain-bound free radicals [...] an
increase in oxygen is always accompanied by
an uptick in mental sharpness.
Exercise acts directly on the
molecular machinery of the
brain itself. It increases
neurons’ creation, survival,
and resistance
”—Dr. Medina
36. Even more benefits!
• Reduces depression
• Treats dementia
• Improves reasoning
• Improves long-term
memory
• Improve fluid intelligence
• Helps you solve problems
• and more...
37. If you are stuck go for a
walk or a run...
just move!
44. “If keepin
in a lectu
would ha
g someo
re was a
ne’s atte
business
ntion
ve an 80 , it
% failure
rate.
— Dr. Jo
hn Medin
a
”
Rule #4
We do not pay attention
to boring things
55. 1. T E L E P R O M P T I N G
People tend to put every word they are going
to say on their PowerPoint slides. Although
this eliminates the need to memorize your
talk, ultimately this makes your slides
crowded, wordy, and boring.You will loss your
audience’s attention before you even reach
the bottom of your ...
Slide from Don McMillan, “Life After Death by PowerPoint”: http://bit.ly/aYxegN
56. 2. Spelling mistakes
Many people do not run spel cheek
before there presentation
BIG MISTAK!!! Nothing makes you lok
stupder than speling erors
Slide from Don McMillan, “Life After Death by PowerPoint”: http://bit.ly/aYxegN
57. 3. Bullet pointing
• Avoid • Bullet-Points
• Excesive • And
• Buller-Pointing • Your
• Only • Key
• Bullet • Messages
• Key • Will
• Points • NOT
• Too • Stand
• Many • Out
Slide from Don McMillan, “Life After Death by PowerPoint”: http://bit.ly/aYxegN
58. 4. Too many levels
• What is worst
• Too many bullet point levels are shown
• Type size gets smaller and smaller
• Until it is utterly unreadable
• Even for audiences in the 4th row
• So you better have just one bulletpoint level
• Better yet, forget about bullets (bullets, not guns,
kill people. Don’t you know?)
• Use them sparingly
• There are many other ways of detailing your ideas!
Slide from Don McMillan, “Life After Death by PowerPoint”: http://bit.ly/aYxegN
59. 5. Color schemes gone wrong
bad
color schemes can
lead to...
• Distraction
• Confusion
• Headache
• Nausea
• Vomiting
• Loss of bladder control
Slide from Don McMillan, “Life After Death by PowerPoint”: http://bit.ly/aYxegN
61. earlier periods of time, i.e., earlier modifications,basedHas-
exponential decay model. EDHCM was introducedhave the
Variants. LDHCM (Linearly Decayed) and LGDHCM
We define three further variants
by
on
san. Similarly,
contributionthings people won’tperiods in the past.a
HCM, withreduced exponentiallyfor understand
7. Use an additional have their contributions reduced
weight over time, modelling
(LoGarithmically decayed),
exponential decay model. EDHCM was introduced by for
In EDHCM (Exponentially Decayed HCM) , entropies Ha
over Similarly, LDHCM (Linearly Decayed) and LGDHC
san. time in a respectively linear and logarithmic fashion.
earlier periods of time, i.e., earlier modifications, have their
Both are novel. The definition of the variants follow:
(LoGarithmically decayed), have their contributions reduce
contribution reduced exponentially over time, modelling an
P HCP Fi (j)
over time in{a,..,b} (j) = EDHCMand logarithmici)fashion
EDHCM a respectively linear was introduced by Has-
exponential decay model. i2{a,..,b} e 1 ⇥(|{a,..,b}| (5)
Both are novel.LDHCM (Linearly the variantsFi (j)
san. Similarly, The definition of Decayed) andfollow:
P HCP
LGDHCM
(LoGarithmically (j) =
LDHCM{a,..,b} decayed), have their contributions reduced
Pi2{a,..,b} 2 ⇤(|{a,..,b}|+1 i) (6)
HCP Fi (j)
EDHCM{a,..,b} (j) = P i2{a,..,b} e HCP Fi (j) i) (5
over time in a respectively linear and logarithmic fashion.
1 ⇥(|{a,..,b}|
LGDHCM{a,..,b} (j) = i2{a,..,b} 3 ⇤ln(|{a,..,b}|+1.01 i) (7)
P
Both are novel. The definition of the variants follow:
HCP Fi (j)
LDHCM{a,..,b} (j) = i2{a,..,b} 2 ⇤(|{a,..,b}|+1 i) (6
where 1 , 2 and 3 arePP decay factors. Fi (j)
EDHCM{a,..,b} (j) = the HCP
(5)
HCP Fi (j)
i2{a,..,b} e 1 ⇥(|{a,..,b}| i)
LGDHCM{a,..,b} (j) = P i2{a,..,b} 3 ⇤ln(|{a,..,b}|+1.01 i) (7
HCP Fi (j)
LDHCM{a,..,b} (j) = i2{a,..,b} 2 ⇤(|{a,..,b}|+1 i)
(6)
where 1, 2 and 3 are the decay factors. F
P HCP i (j)
LGDHCM{a,..,b} (j) = i2{a,..,b} 3 ⇤ln(|{a,..,b}|+1.01 i)
(7)
where 1, 2 and 3 are the decay factors.
62. Design the
zen way
simplicity
clarity
uncluttered
67. rec all
ett er
ve ab at ion
e ha nfo rm
W sua li
for vi
68. “ we are wired to pattern ”
—Dr. Medina
IRSYMCAWTFIBMKGBFBI
69. “ we are wired to pattern ”
—Dr. Medina
IRSYMCAWTFIBMKGBFBI
70. Visual information are easier to remember
Oral 10%
3x
Visual 35% 6x
Oral & 65%
Visual
Source: Najjar, LJ (1998) Principles of educational multimedia user interface design (via Brain Rules by John Medina, 2008)
72. 90
90 %
%
of the
of the freshwater
freshwaterworld is
in the
in our planet is
Slide from Garr Reynolds: http://www.slideshare.net/garr/sample-slides-by-garr-reynolds
Inspired by www.slideshare.net/garr/sample-slides-by-garr-reynolds
73. ice
ice
Source: SCAR
Inspired by www.slideshare.net/garr/sample-slides-by-garr-reynolds
74. 90 %
of the ice in our planet
is in Antarctica
Inspired by www.slideshare.net/garr/sample-slides-by-garr-reynolds
75. 80 %
of our planet’s freshwater
is ice in the
Antarctic
80 %
of the world’s freshwater
is ice in the
Antarctic
Source: SCAR
Inspired from Garr Reynolds: http://www.slideshare.net/garr/sample-slides-by-garr-reynolds
Slide by www.slideshare.net/garr/sample-slides-by-garr-reynolds
81. 2% of the
world
Use
metaphorical
image
owns
50% of the
wealth
Slide from Christina Quick : http://www.slideshare.net/ChrisQuick/new-rules-for-power-point-presentations
82. The poorest 50% of the world
owns 1% of the wealth
Slide from Christina Quick : http://www.slideshare.net/ChrisQuick/new-rules-for-power-point-presentations
83. 66% of Americans
are obese or overweight.
All adults 134 million (66%)
Women
65 million
(62%)
Men
69 million
(71%)
Be provocative
OECD Factbook 2007
Slide from Garr Reynolds: http://www.slideshare.net/garr/sample-slides-by-garr-reynolds
94. Repetitio n of design
elem ents gives a
co hesive lookR e petition
Slide from Jesse Desjardins: http://www.slideshare.net/jessedee/steal-this-presentation-5038209
126. Break the rules, but do it sparingly
Slide from Eduardo S. de la Fuente: http://www.slideshare.net/eduardo.delafuente/the-art-of-presentation-following-the-zen-path-why
143. The 10-minute rule
The 10-minutes rule
High
Attention
Attention
Low
10 20 30 40 50
Minutes of class time
Minutes of class time
Source: www.brainrules.net/attention
Source: www.brainrules.net/attention
161. Takeawa ys & DQJohnotes
u a’s Credits
ules
Medin
rain R
r. from
BWhat all pres
enters ne ed to know
s)
tion (of sort
A presenta eynolds
by Garr R
SEMINAR (I)
http://slidesha.re/3mMo3c http://slidesha.re/fausgs
Following the ZEN path
http://slidesha.re/i8QMa Zen Rocks by Lane Pierce
Alberto de Vega
http://slidesha.re/8Ykmry
Eduardo S. de la Fuente
http://slidesha.re/17P2Hh
Sample slides
Here are a few before/after slides
Garr Reynolds
162. Marco D’Ambros
Computer science researcher
Marco earned a PhD in Informatics from the University of
Lugano (Switzerland), and MSc degrees from both Politecnico
di Milano (Italy) and the University of Illinois at Chicago (USA).
His research interests lie in software engineering, software
evolution, and software visualization. He authored more than
30 technical papers, and is the creator of several software
visualization and program comprehension tools.
Marco is passionate about presentations: He distilled his
experience, gained by giving more than 30 talks at
international conferences, in this presentation.
www.inf.usi.ch/phd/dambros/ On the Evolution of
Source Code and
www.linkedin.com/in/dambros Software Defects
amzn.com/1460953568
www.slideshare.net/marcodambros
twitter.com/marquitodambros