Artificial intelligence (AI) is the simulation of human intelligence by machines. The document provides a history of AI, discussing its current status and applications. It describes goals of AI like problem solving, acting rationally, and acting like humans. The document also outlines advantages like reducing errors and performing repetitive jobs, as well as disadvantages such as high costs. The future scope of AI is discussed, such as improved speech and image recognition changing devices and personal assistants becoming more personalized.
Contains a detailed Slides on Artificial Intelligence.
What is artificial intelligence?
What are its uses?
advantages?
disadvantages?
Charasteristics?
examples?
functions
and other criterias.
This document provides an introduction to artificial intelligence, including its history, limitations of human intelligence, applications of AI, and advantages and disadvantages of AI. It discusses early attempts at creating artificial life in stories like Frankenstein. It also covers robotics research from Shakey the robot in 1970 to modern robots designed to work in colonies. Applications of AI mentioned include military, entertainment, healthcare, banking, and insurance. Advantages include improved medical diagnostics using expert systems. Disadvantages include potential issues from self-modifying and self-replicating systems. The conclusion discusses the evolving concept of artificial life and intelligence.
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
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This document provides an overview of artificial intelligence (AI), including its history, categories, branches, applications, and tools. It discusses how AI has evolved through different generations of computing. Key topics covered include expert systems, neural networks, programming languages used in AI, the American Association for Artificial Intelligence (AAAI), and perspectives on AI's future potential impacts and applications.
This document discusses artificial intelligence and its applications. It defines strong AI as attempting to create human-level intelligence in machines, while weak AI focuses on narrow applications using machine learning. Some advantages of AI include reducing errors, exploring dangerous environments, and assisting with repetitive tasks. Challenges include the high cost of development and an inability to match human creativity or emotions. The document outlines several applications of AI in fields like transportation, the military, art, business, education, and hotels.
This document provides an overview of artificial intelligence (AI) including definitions, history, major branches, uses, advantages, and disadvantages. It discusses how AI aims to simulate human intelligence through machine learning, problem solving, and rational decision making. The history of AI is explored from early concepts in the 1940s-50s to modern applications. Major branches covered include robotics, data mining, medical diagnosis, and video games. Current and future uses of AI are seen in personal assistants, autonomous systems, speech/image recognition, and many other fields. Both advantages like efficiency and disadvantages like job loss are noted.
Artificial intelligence plays a major role in digital marketing. There are different types of AI:
Reactive machines simply react to input with output without learning. Limited memory types can store previous data and predictions to make better forecasts. Theory of mind AI is beginning to interact with human thoughts and emotions, as seen in self-driving cars interacting with other drivers. The final type is hypothetical self-aware AI that could achieve independent intelligence and potential negotiation with humans.
The document discusses artificial intelligence and how it works. It defines intelligence and AI, explaining that AI aims to make computers as intelligent as humans. It describes how AI uses artificial neurons and networks to function similarly to the human brain. Examples of AI applications are given, like expert systems used in various domains. The document also compares human and artificial intelligence, noting their differing strengths and weaknesses.
The document provides an overview of artificial intelligence, including its definition, history, approaches, tools for evaluation, applications, and predictions for the future. It discusses topics such as the traits of an intelligent system, methods like cybernetics and symbolic/statistical approaches, tools including search algorithms and neural networks, and applications in fields like medicine, robotics, and web search engines.
Human intelligence is the intellectual powers of humans, Learning
Decision Making
Solve Problems
Feelings(Love,Happy,Angry)
Understand
Apply logic
Experience
making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.
Robots are autonomous or semi-autonomous machines meaning that they can act independently of external commands. Artificial intelligence is software that learns and self-improves.
Why Artificial Intelligence?
• Computers can do computations, by fixed programmed rules
• A.I machines perform tedious tasks efficiently & reliably.
• computers can’t understanding & adapting to new situations.
• A.I aims to improve machine to do such complex tasks.
Advantages of A.I:
Error Reduction
Difficult Exploration(mining & exploration processes)
Daily Application(Siri, Cortana)
Digital Assistants(interact with users)
Medical Applications(Radiosurgery)
Repetitive Jobs(monotonous)
No Breaks
Some disadvantages of A.I:
High Cost
Unemployment
Weaponization
No Replicating Humans
No Original Creativity
No Improvement with Experience
Safety/Privacy Issues
Artificial intelligence will be a Greatest invention Until Machines under the human control. Otherwise The new ERA will be There…..!
This document provides an overview of artificial intelligence, including its branches and fields of application. It discusses how AI aims to create intelligent machines through approaches like symbolic and statistical AI. The document also outlines key differences between human and artificial intelligence, noting that AI is non-creative, consistent, precise, and able to multitask, while humans are more creative but can contain errors or inconsistencies. It concludes by stating that combining knowledge from different fields including computer science, mathematics, psychology and more will benefit progress in creating intelligent artificial beings.
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
Artificial intelligence (AI) is an area of computer science that emphasizes creating intelligent machines that work like humans. The document discusses the background of AI, including Alan Turing's 1950 paper asking if machines can think. It also covers neural networks, natural language processing including understanding and generation, and challenges and applications of AI such as in medical research, farming, and more.
This presentation provides an overview of artificial intelligence (AI), including its definition, introduction, foundations, advantages, applications, and limitations. AI is defined as the intelligence demonstrated by machines and the branch of computer science which aims to create intelligent agents. The presentation traces the foundations of AI through various fields such as philosophy, mathematics, neuroscience, and computer engineering. It also outlines the advantages of AI, such as reducing errors and exploring new possibilities, and the potential disadvantages like overreliance on AI and job losses. The presentation concludes that while AI tools can help solve problems, they cannot replace human capabilities.
Artificial intelligence or AI in short is the latest technology on which the whole world is working today. We at myassignmenthelp.net are providing help with all the assignments and projects. So when ever you need help with any work related to AI feel free to get in touch
This document introduces artificial intelligence, defining it as the intelligence exhibited by machines or software. It discusses categories of AI systems and compares human and AI attributes. The document outlines advantages like jobs without risks, and disadvantages like overreliance and inferiority feelings. It examines applications in fields like computer science, finance, and the military. The conclusion suggests AI will continue improving communication but consciousness remains limited, and AI is now used routinely in many fields.
The document provides a history of artificial intelligence, key figures in AI development, and examples of modern AI technologies. It discusses how the idea of AI originated in ancient Greece and how Alan Turing introduced the Turing test in 1937. Examples of modern AI include Sophia, a humanoid robot created by Hanson Robotics, and Rashmi, an Indian humanoid robot that can speak three languages. The document outlines advances in AI and its applications in fields such as military technology, space exploration, healthcare, and more.
Artificial Intelligence - It's meaning, uses, past and future.
Artificial intelligence is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans
This document discusses artificial intelligence and its applications. It defines AI as the science and engineering of making intelligent machines. It then lists some pros and cons of AI, such as it helping with laborious tasks but also the risk of robots superseding humans. The document also outlines different types of AI like game playing, speech recognition, computer vision, and expert systems. It notes applications of AI in areas like surgery simulators and fraud detection. The document concludes with some quotes expressing concerns about the development of advanced AI and the need for regulatory oversight to avoid potential risks.
Artificial intelligence dr bhanu ppt 13 09-2020BhanuSagar3
The document discusses a webinar on using artificial intelligence to advance pharmacy and healthcare in India. It will take place on September 13, 2020 from 2-3 pm, hosted by Prof. Bhanu P. S. Sagar. The webinar will cover the history of medical innovations using AI, how AI is applied in various fields like natural language processing and machine learning. It will also discuss the advantages of AI, such as reducing errors and facilitating difficult tasks. The types and applications of AI technology in the pharmaceutical industry will also be presented.
Artificial intelligence is mimicking human cognitive abilities through machine learning and big data. It is currently being applied in many areas like computer vision, speech recognition, and robotics. While current AI is narrow, focused on specific tasks, the future may bring more general strong AI with human-level cognition. AI is impacting society positively by improving efficiency, creating new jobs, enhancing lifestyle through applications like smart homes, and improving access to healthcare through technologies like telemedicine.
Artificial intelligence is mimicking human cognitive abilities through machine learning and big data. It is currently being applied in many areas like computer vision, speech recognition, and robotics. While current AI is narrow, focused on specific tasks, the future may bring more general strong AI with human-level cognition. AI is impacting society positively by improving efficiency, creating new jobs, enhancing lifestyle through applications like smart homes, and improving access to healthcare through technologies like telemedicine.
Artificial intelligence (AI) broadly refers to any human-like behavior displayed by a machine or system. AI has progressed from enabling computers to play games like checkers against humans to now being part of our daily lives through solutions in areas like healthcare, manufacturing, financial services, and entertainment. HPE is pioneering AI by harnessing data and gaining insights at the edge to help customers realize the value of their data faster and leverage opportunities for innovation, growth, and success. A brief history of AI discusses its early development in the 1950s and milestones like defeating chess masters and developing speech recognition.
The A_Z of Artificial Intelligence Types and Principles_1687569150.pdfssuseredfe14
This document provides an overview of various types and principles of artificial intelligence. It contains 27 different types of AI categorized alphabetically from A to Z. For each type, it provides a brief 1-2 sentence definition of what the type is and potential applications. The types covered include ambient AI, adaptive AI, Bayesian AI, big data AI, conversational AI, creative AI, deep learning, and others. It aims to be an introductory guide to the different areas and techniques within the field of artificial intelligence.
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docxhealdkathaleen
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
NEURAL NETWORKING:
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make their task much easier.
KEYWORDS
Artificial Intelligence Technology, Internationa ...
Artificial intelligence (AI) is a branch of computer science concerned with building intelligent machines that can perform tasks requiring human intelligence. AI is advancing rapidly through machine learning and deep learning techniques. Developers use AI to automate tasks and solve problems. AI systems can learn with or without human supervision. While strong AI that matches human intelligence does not yet exist, weak AI is used for applications like smart assistants, self-driving cars, and spam filters. The future of AI is uncertain but it has potential to transform many industries through automation and improved decision making. Challenges include the costs of development and potential job disruption.
Artificial intelligence (AI) is a branch of computer science concerned with building intelligent machines that can perform tasks requiring human intelligence. AI is advancing rapidly through machine learning and deep learning techniques. Developers use AI to automate tasks and solve problems. AI systems can learn with or without human supervision. While strong AI that matches human intelligence does not yet exist, weak AI is used for applications like smart assistants, self-driving cars, and spam filters. The future of AI is uncertain but it has potential to transform many industries through automation and improved decision making. Challenges include the costs of development and potential job disruption.
This document provides an overview of artificial intelligence (AI). It begins with definitions of intelligence and AI. It then discusses the central principles of AI, including reasoning, knowledge, planning, learning, communication, perception and manipulation. Applications of AI discussed include healthcare, music, scheduling, robotics, gaming and finance. Advantages include more powerful computers and interfaces, while disadvantages include costs and software challenges. The document concludes that as biological intelligence is fixed, AI provides an exponentially growing new paradigm and will change the world. It received citations.
The document discusses artificial intelligence (AI) and its applications. It defines AI as the ability of computers to perform tasks usually requiring human intelligence. John McCarthy is identified as the father of AI, coining the term in 1955. AI is classified based on functionality into reactive machines, limited theory, theory of mind, and self-aware AI, and based on capabilities into artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. The document then outlines several applications of AI in areas such as e-commerce, education, lifestyle, navigation, robotics, human resources, healthcare, agriculture, gaming, automobiles, and social media. Finally, it lists the top 10 AI companies.
Artificial intelligence (AI) is the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception and decision-making. The history of AI began in 1956 when the term was coined and the first conference was held. Notable developments include the first mobile robot in 1969, a chess-playing computer defeating a champion in 1997, and today's applications in areas like speech recognition, robotics, healthcare, and more. AI can be categorized into narrow, general, and super AI based on its capabilities. It provides advantages like more powerful computers and new problem-solving techniques but also faces challenges such as high costs and an inability to duplicate human creativity.
The document discusses artificial intelligence (AI), defining it as the simulation of human intelligence by machines. It outlines the principles of AI, including reasoning, knowledge, planning, learning and communication. It then discusses applications of AI in various fields such as healthcare, music, telecommunications, gaming, finance, business, and more. The document also covers the advantages and disadvantages of AI, as well as its growth and future prospects. It concludes by discussing how AI may change the world as its development and capabilities continue to increase exponentially.
The document discusses artificial intelligence (AI), including its definition, applications, advantages, disadvantages, growth, and future. It defines AI as simulating human intelligence through machines. Some key applications mentioned include using AI in healthcare for scheduling and providing medical information, and in fields like music composition. The growth of AI is expected to be exponential, especially in applications that are useful to society. Concerns about AI include increased costs and potential harms. The conclusion is that AI will significantly change the world as its development continues.
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtificiMalikPinckney86
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
LIMITATIONS OF EXPERT SYSTEMS:
NEURAL NETWORKING:
· Artificial neural networking
· Training Data
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make the ...
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docxtoddr4
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
LIMITATIONS OF EXPERT SYSTEMS:
NEURAL NETWORKING:
· Artificial neural networking
· Training Data
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make the.
Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision. AI works by ingesting large amounts of labeled training data to analyze patterns and correlations and use these to make predictions. New AI techniques can generate realistic text, images, music and other media. The four main types of AI are reactive machines, those with limited memory, theory of mind, and self-awareness. AI is incorporated into automation, machine learning, machine vision, natural language processing, robotics, self-driving cars, and text, image and audio generation.
Addis abeb university ..Artificial intelligence .pptxethiouniverse
The document defines artificial intelligence as the science and engineering of making intelligent machines, especially intelligent computer programs. It discusses that AI is the creation of computer programs that can learn to think and function on their own. The document then provides examples of technologies that use AI, such as machine learning, robotics, and neural networks. It describes the different types of AI as artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. The document also outlines the history of AI and discusses its applications in various domains like agriculture, healthcare, business, and education.
What Is Artificial Intelligence,How It Is Used and Its Future.pdfMaazUmar3
What Is Artificial Intelligence,How It Is Used in now days and what is Its Future that help the humans also contain full history of artificial intelligence.
The Rise of Supernetwork Data Intensive ComputingLarry Smarr
Invited Remote Lecture to SC21
The International Conference for High Performance Computing, Networking, Storage, and Analysis
St. Louis, Missouri
November 18, 2021
How Netflix Builds High Performance Applications at Global ScaleScyllaDB
We all want to build applications that are blazingly fast. We also want to scale them to users all over the world. Can the two happen together? Can users in the slowest of environments also get a fast experience? Learn how we do this at Netflix: how we understand every user's needs and preferences and build high performance applications that work for every user, every time.
What's Next Web Development Trends to Watch.pdfSeasiaInfotech2
Explore the latest advancements and upcoming innovations in web development with our guide to the trends shaping the future of digital experiences. Read our article today for more information.
Details of description part II: Describing images in practice - Tech Forum 2024BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and transcript: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
Performance Budgets for the Real World by Tammy EvertsScyllaDB
Performance budgets have been around for more than ten years. Over those years, we’ve learned a lot about what works, what doesn’t, and what we need to improve. In this session, Tammy revisits old assumptions about performance budgets and offers some new best practices. Topics include:
• Understanding performance budgets vs. performance goals
• Aligning budgets with user experience
• Pros and cons of Core Web Vitals
• How to stay on top of your budgets to fight regressions
Transcript: Details of description part II: Describing images in practice - T...BookNet Canada
This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator.
Link to presentation recording and slides: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/
Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.
Data Protection in a Connected World: Sovereignty and Cyber Securityanupriti
Delve into the critical intersection of data sovereignty and cyber security in this presentation. Explore unconventional cyber threat vectors and strategies to safeguard data integrity and sovereignty in an increasingly interconnected world. Gain insights into emerging threats and proactive defense measures essential for modern digital ecosystems.
AI_dev Europe 2024 - From OpenAI to Opensource AIRaphaël Semeteys
Navigating Between Commercial Ownership and Collaborative Openness
This presentation explores the evolution of generative AI, highlighting the trajectories of various models such as GPT-4, and examining the dynamics between commercial interests and the ethics of open collaboration. We offer an in-depth analysis of the levels of openness of different language models, assessing various components and aspects, and exploring how the (de)centralization of computing power and technology could shape the future of AI research and development. Additionally, we explore concrete examples like LLaMA and its descendants, as well as other open and collaborative projects, which illustrate the diversity and creativity in the field, while navigating the complex waters of intellectual property and licensing.
MYIR Product Brochure - A Global Provider of Embedded SOMs & SolutionsLinda Zhang
This brochure gives introduction of MYIR Electronics company and MYIR's products and services.
MYIR Electronics Limited (MYIR for short), established in 2011, is a global provider of embedded System-On-Modules (SOMs) and
comprehensive solutions based on various architectures such as ARM, FPGA, RISC-V, and AI. We cater to customers' needs for large-scale production, offering customized design, industry-specific application solutions, and one-stop OEM services.
MYIR, recognized as a national high-tech enterprise, is also listed among the "Specialized
and Special new" Enterprises in Shenzhen, China. Our core belief is that "Our success stems from our customers' success" and embraces the philosophy
of "Make Your Idea Real, then My Idea Realizing!"
Video traffic on the Internet is constantly growing; networked multimedia applications consume a predominant share of the available Internet bandwidth. A major technical breakthrough and enabler in multimedia systems research and of industrial networked multimedia services certainly was the HTTP Adaptive Streaming (HAS) technique. This resulted in the standardization of MPEG Dynamic Adaptive Streaming over HTTP (MPEG-DASH) which, together with HTTP Live Streaming (HLS), is widely used for multimedia delivery in today’s networks. Existing challenges in multimedia systems research deal with the trade-off between (i) the ever-increasing content complexity, (ii) various requirements with respect to time (most importantly, latency), and (iii) quality of experience (QoE). Optimizing towards one aspect usually negatively impacts at least one of the other two aspects if not both. This situation sets the stage for our research work in the ATHENA Christian Doppler (CD) Laboratory (Adaptive Streaming over HTTP and Emerging Networked Multimedia Services; https://athena.itec.aau.at/), jointly funded by public sources and industry. In this talk, we will present selected novel approaches and research results of the first year of the ATHENA CD Lab’s operation. We will highlight HAS-related research on (i) multimedia content provisioning (machine learning for video encoding); (ii) multimedia content delivery (support of edge processing and virtualized network functions for video networking); (iii) multimedia content consumption and end-to-end aspects (player-triggered segment retransmissions to improve video playout quality); and (iv) novel QoE investigations (adaptive point cloud streaming). We will also put the work into the context of international multimedia systems research.
An invited talk given by Mark Billinghurst on Research Directions for Cross Reality Interfaces. This was given on July 2nd 2024 as part of the 2024 Summer School on Cross Reality in Hagenberg, Austria (July 1st - 7th)
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/07/intels-approach-to-operationalizing-ai-in-the-manufacturing-sector-a-presentation-from-intel/
Tara Thimmanaik, AI Systems and Solutions Architect at Intel, presents the “Intel’s Approach to Operationalizing AI in the Manufacturing Sector,” tutorial at the May 2024 Embedded Vision Summit.
AI at the edge is powering a revolution in industrial IoT, from real-time processing and analytics that drive greater efficiency and learning to predictive maintenance. Intel is focused on developing tools and assets to help domain experts operationalize AI-based solutions in their fields of expertise.
In this talk, Thimmanaik explains how Intel’s software platforms simplify labor-intensive data upload, labeling, training, model optimization and retraining tasks. She shows how domain experts can quickly build vision models for a wide range of processes—detecting defective parts on a production line, reducing downtime on the factory floor, automating inventory management and other digitization and automation projects. And she introduces Intel-provided edge computing assets that empower faster localized insights and decisions, improving labor productivity through easy-to-use AI tools that democratize AI.
How RPA Help in the Transportation and Logistics Industry.pptxSynapseIndia
Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
AC Atlassian Coimbatore Session Slides( 22/06/2024)apoorva2579
This is the combined Sessions of ACE Atlassian Coimbatore event happened on 22nd June 2024
The session order is as follows:
1.AI and future of help desk by Rajesh Shanmugam
2. Harnessing the power of GenAI for your business by Siddharth
3. Fallacies of GenAI by Raju Kandaswamy
4. ARTIFICIAL INTELLIGENCE
ARTIFICIAL
INTELLIGENCE
Intelligence: “The capacity to learn and solve problems”
Artificial Intelligence: Artificial intelligence (AI) is the
simulation of human intelligence by machines.
• The ability to solve problems
• The ability to act rationally
• The ability to act like humans
5. • The artificial intelligence term was used in the year 1956, and the
concept was used from the year 1950, under the topics of problem
solving and symbolic methods.
• Artificial Intelligence is the branch of engineering & computer
science which deals with making of intelligent machines or systems
that can function intelligently and independently, especially intelligent
computer programs.
• Artificial Intelligence is the ability of a computer or a robotic
computer enabled system to process the given information and
produce outcomes in a manner similar to the attention process of
humans in learning, decision making, reasoning, self-correction and
solving problems. Artificial intelligence is becomes an essential part of
the technology industry. Research associated with artificial
intelligence is highly technical and specialized.
6. Year Milestone
1943 Neurons can do logical operations like “and”, “or” or “not”, when they
are connected as a network. This process was proved by Walter Pitts and
Warren McCulloch.
1951 First neuronal network, which solved a problem from the real world i.e.
SNARC (Stochastic Neural Analog, Reinforcement Computer) was by
Marvin Minsky.
1956 At Dartmouth college conference the term “Artificial Intelligence” was
coined.
1958 Perceptrons (neuronal networks that transmit information in one
direction) was created by the Frank Rosenblatt which is the origin for
todays AI progress.
1969 Minsky supported the symbolic representation of problems in his book -
“Perceptrons”.
Mile stones in the artificial intelligence process
7. Year Milestone
1974 -
1980
During this period, interest on AI was dropped, which is called as
“First AI Winter”.
1986 Back propagation algorithm design was developed by Georey Hinton
which is widely using in deep learning nowadays.
1987 -
1993
This phase is called as “AI winter”
1997 This year IBM Deep blue defeated the Garry Kasparov (Russian
grandmaster).
2013 Google used the British technology to perform efficient research on
photos.
2016 Google DeepMind, software AlphaGo defeated the Go Champion Lee
Sedol.
2016 Humanoid robot developed by Hong Kong based company Hanson
Robotics Sophia was activated on February 14, 2016
9. EARLY HISTORY
OF A.I.
1950 : “CAN MACHINES
THINK??????”
1956 : THE TERM
“ARTIFICIALINTELLIGENCE”
WAS FIRST INTRODUCED.
10. • Analyse Satellite
Images to identify
which areas have the
highest poverty level
• Gate allocationfor
plane while landing
• Tickt price
determination
• Companies are
creating robots to
teach subjects
A.I. FOR GOOD AVIATION EDUCATION
11. • Solving a variety of
problems of patients,
hospitals & healthcare
industry overall.
• Using Avatars in place of
patients.
• Robots have become
very common in many
industries
• Can do repetitive
laborious tasks
• Algorithmic Trading
• Market analysis &
data mining
• Personal Finance
• Portfolio management
HEALTH CARE HEAVY INDUSTRY FINANCE
12. • To develop algorithms that human use.
• Algorithms can require enormous
computational resources and problem
goes beyond a certain size
• Knowledge Representation :
To build machine with the capability
of making working assumption and
common sense.
13. • Planning :
In classical planning problems, the agent can
assume that it is the only system acting on the
world
Multi-agent planning uses the cooperation and
competition of many agents to achieve the
given goal.
• Learning :
Machine learning is the fundamental concept
of AI search.
Unsupervised learning is the ability to find
patterns in s stream of input
Supervised learning includes both
classification and numerical regression
14. To understand what artificial intelligence is, we need to know
how it works and what are the Subfields and components that make
machines work intelligently.
Speech Recognition
Humans can speak and listen to communicate through language; this is
the field of speech recognition. Since speech recognition is statistically
based, hence it’s called statistical learning.
Natural Language Processing
Humans can write and read the text in a language; this is the field of
NLP or natural language processing.
Working, Subfields and Components
15. Machine Vision
Humans can see with their eyes and process what they see; this is the
field of computer vision. Computer vision falls under the symbolic
way for computers to process information.
Moreover, they can recognize the surroundings around them
through their eyes which create images of that world. This field of
image processing which even though is not directly related to AI is
required for computer vision.
Robotics
Humans can understand their environment and move around
fluidly; this is the field of robotics.
Pattern Recognition
Humans can see patterns such as grouping of like objects; this is the
field of pattern recognition. Machines are even better at pattern
recognition because they can use more data and dimensions of data,
this is the field of machine learning.
16. Types of artificial intelligence:-
Artificial Intelligence is a wide-ranging concept and can be classified
into a number of ways. Based upon their caliber:-
1. Weak intelligence or Artificial narrow intelligence (ANI): This
system is designed and trained to perform a narrow task, such as facial
recognition, driving a car, playing chess, traffic signaling.
E.g.: Apple SIRI virtual personal assistance, tagging in social media.
2. Artificial General Intelligence (AGI) or Strong AI : It is also
called as Human Level AI. It has the ability to simplify human
intellectual abilities. Due to this, when it exposed to an unfamiliar task,
it has the ability to find the solution. AGI can perform all the things as
humans.
3. Artificial Super intelligence (ASI): It is a brain power, which is
more active than smart humans drawing, mathematics, space, etc; in
each and every field from science to art. It ranges from the computer
just little than the human to trillion times smarter than humans.
20. Drug discovery process
Health support and medication assistance
Attainment of in person and online consultation
Helping in repetitive jobs
Maintaining of medical records
Accuracy of medicine
Diagnostic and imaging sector
Competition & prizes
Automotive
Finance &Economics
Video games
Applications of Artificial Intelligence:
21. Health care application Representative company
AI Technology platform Key benefits
Analytics 4 life is pioneering digital
health using AI to develop a completely
new form of medical imaging. With an
initial focus on coronary artery disease
(CAD). It is a novel radiation free and
exercise free cardiac imaging
technology.
Physicians can noninvasively assess
the presence of significant CAD in a
single office visit without radiation,
exercise or pharmacological stressors
using physiologic signals naturally
emitted by the body.
By using this platform to cardiac phase
space tomography analysis (cPSTA) data
and paired coronary angiography results
it developed its initial product focused
on CAD.
Delivers an improved diagnostic solution
previously available only through
invasive, expensive tests providing
immediate and measurable benefits to
patients, payers and providers.
Intelligent diagnostics
22. Health care application Representative company
AI Technology platform Key benefits
It offers a machine intelligence software
platform, Topological data analysis
(TDA), that enables organizations to
analyze and build predictive models
using big data or highly dimensional data
sets.
It allow healthcare providers and
pharmaceutical companies to
automatically stratify complex data
and uncover relationships to optimize
patent care paths., procedures and
protocols for personalized medicine
leading to faster and more effective
outcomes.
The TDA platform draws on a range of
machine learning statistical and genomic
algorithms to combine and synthesize
them in accordance with the data.
Patient and provider data base
23. Health care application Representative company
AI Technology platform Key benefits
It uses it's advanced proprietary AI that
can be applied to manage publicly and
privately available noisy data.
Helps uncover valuable biology not
easily translated by the traditional
approaches enabling faster lead design
and candidate identification while
reducing development costs and
attrition rates.
It developed a technology that can
model most important absorption,
distribution, metabolism and excretion
properties in the drug development
process
Drug discovery process with
advanced analytics
24. Health care application Representative company
AI Technology platform Key benefits
It developed robotic assisted surgical
products with a platform that includes
advanced imaging, robotics, big data
management and machine learning to
provide advanced surgical tools and
capabilities to surgeons.
Expected to be only 20% the size of
and considerably less expensive than
current systems, while improving quality
of precision and patient outcomes
significantly.
Focus on improving and standardizing
the outcomes in challenging procedures
such as thoracic lobectomy, gastrectomy
and low anterior resection.
Medical devices and robotics
25. Health care application Representative company
AI Technology platform Key benefits
It uses AI to contextualize data
regarding a patient’s health status and
self management behavior to provide
early detection of potentially harmful
health events.
Significantly impacts health care
quality and cost by improving self-
management and enabling proactive
interventions.
At the core of Ibis platform lies Scio, an
AI brain which allows complex health
management via a continuous five-step
AI process including observation,
learning, discovering, anticipating and
prompting
With this system, upto 80% comply
with their care plan versus a control
50% norm.
Significantly reduces acute care
utilization.
Home health using A. I.
27. Error Reduction - Artificial Intelligence helps human beings to reduce the error
and increases the chance of reaching accuracy with more precision.
Daily Application - Artificial Intelligence is useful for the daily application
purpose. Everyone widely uses the GPS system, which is helpful in long Drives.
Digital Assistants - Artificial Intelligence systems ‘avatar’ which are models of
digital assistants are used by advanced organizations to reduce the need for human
resources. The avatars are free of emotional thinking, so they think logically and
take right decisions. Human emotions are generally associated with moods that
disturb the judgments and affect the human efficiency.
Repetitive Jobs & multi - tasking - Humans can do only one task at a time.
Machines can perform multi-tasking and can think faster than human beings.
Machines can perform dangerous tasks and their parameters can be adjusted i.e.
speed and time.
No Breaks - Humans can work 8 hours per day with 2 or 3 breaks. Unlike human
beings machines do not require frequent breaks and refreshment.
28. Medical Applications - Nowadays, the physicians are assessing the patients and
analyzing the health risks with the help of Artificial Intelligence. Artificial
Intelligence program is educating the physicians about various medicines and
their side effects. Training surgeons are gaining knowledge with the help of
simulators of artificial surgery. They are trained with the help of artificial surgery
simulators viz., brain simulation, heart simulation, GIT simulation etc.
No risk of harm - when human beings are working at the fire stations, if some
mishap happens, it causes harm to the personnel. While in the case of machines,
they don’t feel and have emotions. Also, If machines are broken, it is possible to
mantle the parts.
Act as aids - Machines which have AI technology can be used to serve children
with disability or the elders on a 24/7 basis. They act as a source for teaching and
learning. They are also useful in security alerting in fires, robbery in banks and in
difficult climatic conditions.
Limitless functions - Machines do not have any boundaries; they do everything
better than humans. They are emotionless, more efficient, more accurate and
provide more free time to us.
29. High cost
Decrease in demand for human labour
AI may be programmed to do somethingdevastating
Machine Ethics
Thestorage and access are not
as effective as human brains
No improvement with
experience
Disadvantages of A.I.
31. Improved speech, voice, image, video
recognition will change the way devices.
Personal assistants will become more
personal and context aware.
More and more systems will run
autonomously to a point
The positive impact AI research can
have on humanity, will start to be
across many walks of life - much of it
behind the scenes
32. CONCLUSION
A.I. is a common topic in both Science Fiction & Projection.
The future of Technology & society.
Rivals Human Intelligence.
Raises difficult Ethical Issues
33. A.I. Is like two edged sword, at one end they can solve
problems intelligently, at another end they pose a problem
themselves…. So we have to handle it properly.
I Am Good Or Bad ???
It’s Depends on who Created