AI & Health Hackathon Day
•
1 like•133 views
AI and ML in Health Sector The document discusses artificial intelligence (AI) and machine learning (ML) in the health sector. It defines two types of AI - artificial narrow intelligence (ANI) which focuses on specific tasks, and artificial general intelligence (AGI) which can perform any human task. It provides tips for determining if an AI idea is feasible, including how well humans currently perform the task and the availability of large, high-quality training data. It recommends selecting AI projects that are feasible with available data and valuable for the business. The strengths of machine learning include learning simple concepts from large datasets, while limitations include learning complex concepts from small datasets and requiring massive training data.
Report
Share
Report
Share
Recommended
Artificial Intelligence (AI): A Brief Overview
What is Artificial Intelligence (AI)?
Artificial intelligence is quintessentially the development of intelligent systems via AI programs and intelligent software development.
The idea is to mimic the functioning of the human brain for cognitive behavior, speech recognition, natural language processing, psychology linguistics, etc.
AI research and AI development is the future of the technological revolution in computer science and the term was introduced by John Mccarthy.
Why Artificial Intelligence (AI)?
AI is all about making intelligent machines that would reduce human intervention and make life easier for us.
Artificial intelligence stands a ruling chance to be an indispensable part of all industry parallels.
Speaking of making expert systems and technological advancements, AI is a part of Big data, cloud-systems (IoT), the interaction of intelligent robots, etc.
AI has also made its way into turning science fiction with driving cars a reality by revolutionizing the manufacturing of autonomous vehicles.
Although the development seems much far-fetched for a layman, it is much prevalent and making strides into mainstream lifestyles.
Human Machine Interface for Enterprise Applications
What are the design principles of HMI, and what care must be taken while designing HMI for enterprise applications
Future of Work - Human or AI (AI Summit 2019)
What is the Future of Work? AI or Robot?
According to a study by McKinsey & Company up to 30% of tasks across more than 60% jobs can be automated with technology available today but there are less than 10% jobs where more than 90% tasks can be automated. Which basically means that technology will impact nearly all the jobs out there at varying degrees and the overall impact is much more on jobs getting modified than the number of jobs getting eliminated or created. So, how can companies prepare for this is impending transition?
Accelerate: AI Trends in 2018
This document discusses trends in artificial intelligence (AI) funding and applications. It notes that AI funding has grown unprecedentedly, reaching over $15 billion in 2017. Popular investment areas for startups include healthcare diagnostics, automation, cybersecurity, and autonomous vehicles. Corporations are also increasingly investing in AI, focusing on platforms, business process automation, and understanding customers. The document provides recommendations for companies looking to adopt AI, such as starting small with cost savings projects, creating a product team using agile practices, and identifying key data needs.
AI - How Artificial Intelligence Will Impact Your Business
AI - How Artificial Intelligence Will Impact Your Business
DESCRIPTION:
AI (Artificial Intelligence) has the potential to radically transform employment, productivity and society. Business decision makers need to mitigate underlying risks and invest appropriately to drive future competitive advantage.
India as an outsourcing destination
This presentation highlights why some Indians face backlash when it comes to outsourcing, and at the same time some Indians manage to stay on the top of the outsourcing game.
Indy.code() 2018 Keynote
Indiana has a lot of the raw ingredients needed to be a major force in tech job creation now and in the future. This past summer, Nick set out on a 3-month national tour with a goal of learning what more than a dozen cities across the United States are doing to push their technical communities to the next level. Nick will share the unique perspective he gained from the tour, highlighting key observations about how Hoosier technical communities compare to those in cities such as Chicago, Kansas City, and Seattle, among others, and discuss what Indiana can do to accelerate growth and remain competitive with other innovative cities.
Machine Learning and Artificial Intelligence Introduction for Beginners
Machine Learning and Artificial Intelligence Introduction for Beginners by HASHes - Jamia's Programming Club - Jamia Millia Islamia.
The presentation was made by Najeeb Khan
Recommended
Artificial Intelligence (AI): A Brief Overview
What is Artificial Intelligence (AI)?
Artificial intelligence is quintessentially the development of intelligent systems via AI programs and intelligent software development.
The idea is to mimic the functioning of the human brain for cognitive behavior, speech recognition, natural language processing, psychology linguistics, etc.
AI research and AI development is the future of the technological revolution in computer science and the term was introduced by John Mccarthy.
Why Artificial Intelligence (AI)?
AI is all about making intelligent machines that would reduce human intervention and make life easier for us.
Artificial intelligence stands a ruling chance to be an indispensable part of all industry parallels.
Speaking of making expert systems and technological advancements, AI is a part of Big data, cloud-systems (IoT), the interaction of intelligent robots, etc.
AI has also made its way into turning science fiction with driving cars a reality by revolutionizing the manufacturing of autonomous vehicles.
Although the development seems much far-fetched for a layman, it is much prevalent and making strides into mainstream lifestyles.
Human Machine Interface for Enterprise Applications
What are the design principles of HMI, and what care must be taken while designing HMI for enterprise applications
Future of Work - Human or AI (AI Summit 2019)
What is the Future of Work? AI or Robot?
According to a study by McKinsey & Company up to 30% of tasks across more than 60% jobs can be automated with technology available today but there are less than 10% jobs where more than 90% tasks can be automated. Which basically means that technology will impact nearly all the jobs out there at varying degrees and the overall impact is much more on jobs getting modified than the number of jobs getting eliminated or created. So, how can companies prepare for this is impending transition?
Accelerate: AI Trends in 2018
This document discusses trends in artificial intelligence (AI) funding and applications. It notes that AI funding has grown unprecedentedly, reaching over $15 billion in 2017. Popular investment areas for startups include healthcare diagnostics, automation, cybersecurity, and autonomous vehicles. Corporations are also increasingly investing in AI, focusing on platforms, business process automation, and understanding customers. The document provides recommendations for companies looking to adopt AI, such as starting small with cost savings projects, creating a product team using agile practices, and identifying key data needs.
AI - How Artificial Intelligence Will Impact Your Business
AI - How Artificial Intelligence Will Impact Your Business
DESCRIPTION:
AI (Artificial Intelligence) has the potential to radically transform employment, productivity and society. Business decision makers need to mitigate underlying risks and invest appropriately to drive future competitive advantage.
India as an outsourcing destination
This presentation highlights why some Indians face backlash when it comes to outsourcing, and at the same time some Indians manage to stay on the top of the outsourcing game.
Indy.code() 2018 Keynote
Indiana has a lot of the raw ingredients needed to be a major force in tech job creation now and in the future. This past summer, Nick set out on a 3-month national tour with a goal of learning what more than a dozen cities across the United States are doing to push their technical communities to the next level. Nick will share the unique perspective he gained from the tour, highlighting key observations about how Hoosier technical communities compare to those in cities such as Chicago, Kansas City, and Seattle, among others, and discuss what Indiana can do to accelerate growth and remain competitive with other innovative cities.
Machine Learning and Artificial Intelligence Introduction for Beginners
Machine Learning and Artificial Intelligence Introduction for Beginners by HASHes - Jamia's Programming Club - Jamia Millia Islamia.
The presentation was made by Najeeb Khan
PDF CEE 2018 - How to incubate Civic Tech Projects
These are the slides I used during the Personal Democracy Forum CEE 2018 for a workshop called "How to incubate civic tech projects" where I talked about how we can use with Design Thinking and UX Research methods to understand our Volunteers' Needs and Volunteering Journey and also help them innovate and deliver new products and services, digital or non-digital, to solve real problems.
Amy Dubin: Designing in a Bubble
This presentation speaks to designers of all types to help them understand the business implications of design, to appreciate the expertise in others that can propel their ideas into fruition and to know when/how to ask for help.
Implementing artificial intelligence in startups
The document discusses how startups can implement artificial intelligence. It recommends that startup founders 1) become familiar with AI concepts and analytics, 2) train teams to develop AI solutions, and 3) identify problems their products could solve using AI. Additionally, startups should 4) create affordable products, 5) connect with other experts, 6) build robust data collection platforms, 7) implement AI in daily operations for a good customer experience, and 8) adopt modern AI techniques.
Innofest2010
Presented at the Innovation Festival on 9 March 2010 by Tasos Calantzis from Terrestrial (previously Readymade)
Learning About Machine Learning
Presented at the Dutch PHP Conference on June 30th 2017
From chatbots to your home thermostat, it seems like machine learning algorithms are everywhere nowadays. How about understanding how this works now? In this talk, you will learn about the basics of machine learning through various basic examples, without the need for a PhD or deep knowledge of assembly. At the end of this talk, you will know what the Naive Bayes classifiers, sentiment analysis and basic genetic algorithms are and how they work. You will also see how to create your own implementations in PHP.
CreativITy - The Leiden Institute for Advanced Computer Science session
The document discusses taking a creative and pragmatic approach to software design. It recommends making solutions small and modular rather than overengineered. Developers should work together toward the shared goal and keep code clean and tidy rather than striving for perfection. Choosing the right tools and level of detail is important, as is not being afraid to ask for help. Vision and a clear effort level are the main prerequisites for a good project.
Data analytics with managerial application ass 2
This document summarizes an article about data scientists and their growing importance. It defines data science as the study of extracting knowledge from data using techniques from many fields, including mathematics, statistics, programming, and data engineering. A data scientist must have expertise in business, statistics, programming, databases, visualization, and communication. The document also notes that demand for data scientists is predicted to increase 28% by 2020 according to IBM, and that managers in India should consider training current employees in data science to meet this growing need for these important roles.
Logical communication at IISc 20210327
This document appears to be a slide presentation on logical communication by Kazuaki Oda. The presentation covers principles of logical communication, including focusing on listening, using clear yes/no answers, stating conclusions before reasons and details, and separating opinions from facts. It also contains two case studies where the presenter provides examples of logical and unclear communication. The first case study involves providing transportation instructions from an airport to a campus for a visiting professor, and the second involves a phone call regarding an incorrect product delivery to an angry customer.
Wizenhire
WizeHire is a recruitment tool that provides instant, interactive rankings of job candidates based on job fit, talent, and engagement. It uses predictive psychometric testing of over 2 million candidates to benchmark candidates against high performers in specific jobs. The tool screens for factors like teachability, empathy, honesty, and optimism. It is available in 13 languages and integrates with applicant tracking systems. The company has 1,500 consultants worldwide and provides all necessary documentation for its technology.
AI and the Future of the Service Industry
Artificial Intelligence is predicted to disrupt the service industry including the professions of law, accounting, medicine and more. What exactly is AI, how do human and AI work together or compete, what jobs will be left (if any?), and what skills should you hone to prepare for the profession of the future
Accilium story @ re treat 2021
Accilium is a management consulting firm founded in 2017 that specializes in digital transformation within the mobility ecosystem, helping traditional players and new entrants adapt to changing customer demands. It focuses on projects related to software excellence, future engineering, sustainability, and other areas. Accilium believes in learning constantly and taking an entrepreneurial approach through hands-on work rather than just researching issues. It contributes thought leadership on mobility's future through presentations, articles, and events. The firm aims to evolve with its clients and help them transform organizationally and technologically for the future of mobility.
Talk on Visual AI
The document discusses how artificial intelligence is being used to build algorithms that can understand the visual world, with a focus on recent developments in deep learning that have helped solve problems in image recognition, language processing, and speech recognition. It provides examples of image recognition, image captioning, and visual question answering, and how companies like Tesla and Google are applying these techniques to autonomous vehicles. The document concludes by discussing potential next steps involving deep reinforcement learning and artificial general intelligence.
Have you AI'ed today? A Reality Check
Charles Mok discusses the potentials and limitations of artificial intelligence (AI). While AI shows promise in areas like diagnosing diseases, fighting climate change, and translating languages, it also faces limitations. AI may struggle with tasks requiring "System 2" thinking like abstract reasoning, planning, and understanding cause and effect. It can also replicate and even amplify the biases of its human creators. To realize AI's full potentials, Mok argues we must know its limitations, impose proper oversight and controls, ensure ethics and equality are incorporated, and take a realistic approach focused on specific tasks rather than assuming it can solve all problems.
Tech Startup Day - Funding- Ownership & Exit Scenarios - Patrick Vandrabant
Patrick Vanbrabandt was with Steven van Belleghem and Peter Hinssen along on the first trip to Silicon Valley. On the last evening the participating entrepreneurs and managers were so impressed with what they saw in those five days and experienced, they proposed to put what they learned into practice. Thus the idea of a smart bracelet for the elderly emerged. Meanwhile, the product has been successfully marketed. Patrick tells more about the start-up, the lessons learned and where they now stand.
In everyday life, Patrick is founder and CEO of Carya Group and MyGuest, companies principally engaged in the automotive industry.
Artificial Intelligence Impact - What AI is (and isn't) Helping Startups Scal...
(This presentation was created as a short talk for a French Tech Hub event in San Francisco)
Contents:
- What investors see as "drivers of value" in terms of the use of AI in specific industries and business applications
- Examples of AI in industry (exploring business models and use cases)
- Where AI fits into (or doesn't) the business model of your startup, and how to determine whether or not AI has any short-term value in a specific business model
MOOCS AI 1.pptx
The document provides an overview of an artificial intelligence course taught at the Nadimpalli Satyanarayana Raju Institute of Technology. The course instructor is D Hema Sri Chowdary and covers topics such as the definition of AI, its importance and applications, the differences between AI, machine learning and deep learning, and the pros and cons of AI. A brief history of AI development is also presented, outlining major advancements from 1956 to the present.
Hype vs. Reality: The AI Explainer
Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems?
Here’s what AI learnings your business should keep in mind for 2017.
How to Use Artificial Intelligence to Grow Your Business
Are you interested in learning how to use Artificial Intelligence and Machine Learning for business? If so, then be sure to download this information-packed PDF based on a presentation made by internationally recognized author, speaker, and network TV news contributor Jamie Turner.
Career Pivot to AI webinar by Sudha Jamthe on DriverlessWorldSchool.com
Sudha Jamthe introduces Artificial Intelligence use cases, markets, applications, jobs and how to pivot to AI for new jobs or new roles in existing companies. This is part of a series on DriverlessWorldSchool.com
What is artificial intelligence Definition, top 10 types and examples.pdf
What is artificial intelligence?
Although many definitions of artificial intelligence (AI) have emerged over the past few decades, John McCarthy provided the following definition in this 2004 paper (link is located outside ibm.com): MASU. Especially intelligent computer programs. It deals with the same task of using computers to understand human intelligence, but AI does not need to be limited to biologically observable methods.
Definition of artificial intelligence
Artificial intelligence is the imitation of human intelligence processes by machines, especially computer systems. Typical applications of AI include expert systems, natural language processing, speech recognition, and machine vision.
How does artificial intelligence (AI) work?
As the hype around AI grows, vendors are making efforts to promote how AI is used in their products and services. Often, what they call AI is just a component of technologies like machine learning. AI requires specialized hardware and software infrastructure to write and train machine learning algorithms. Although no single programming language is synonymous with AI, Python, R, Java, C++, and Julia have features that are popular among AI developers.
Generally, AI systems work by ingesting large amounts of labeled training data, analyzing correlations and patterns in the data, and using these patterns to predict future situations. This way, given examples of text, chatbots can learn to generate authentic-like conversations with people. Image recognition tools can also learn to recognize and describe objects in images by considering millions of examples. New and rapidly advancing generic AI technology allows you to create realistic text, images, music, and other media.
Artificial intelligence programming focuses on cognitive skills such as:
• Learn: This aspect of AI programming focuses on taking data and creating rules to turn it into actionable information. Rules, called algorithms, provide step-by-step instructions for computing devices to accomplish a particular task.
• Logic. This aspect of AI programming focuses on selecting the appropriate algorithm to achieve the desired result.
• Self-correction: This aspect of AI programming is designed to continuously improve the algorithms and provide the most accurate results possible.
• Creativity. This aspect of AI uses neural networks, rule-based systems, statistical methods, and other AI techniques to generate new images, new text, new music, and new ideas.
Differences between AI, machine learning and deep learning
AI, machine learning, and deep learning are common terms in enterprise IT, especially when companies use them interchangeably in marketing materials. But there are differences too. The term AI was coined in the 1950s and refers to the emulation of human intelligence by machines. A constantly changing set of capabilities is incorporated as new technologies are developed. Technologies falling under the umbrella of AI include machine learning and deep lea
Big Data LDN 2017: Reshaping Digital Business With Augmented Intelligence
Date: 16th November 2017
Location: Keynote Theatre
Time: 15:50 - 16:20
Speaker: Robert Golladay
Organisation: Cognitive Scale
Machine Learning & AI
While Machine Learning became the buzzword very recently, the term artificial intelligence (AI) has been around for 60 years.
The world is quietly being reshaped by machine learning. We no longer need to teach computers how to perform complex tasks like image recognition or text translation: instead, we build systems that let them learn how to do it themselves.
Today's managers should know whats coming next.
More Related Content
What's hot
PDF CEE 2018 - How to incubate Civic Tech Projects
These are the slides I used during the Personal Democracy Forum CEE 2018 for a workshop called "How to incubate civic tech projects" where I talked about how we can use with Design Thinking and UX Research methods to understand our Volunteers' Needs and Volunteering Journey and also help them innovate and deliver new products and services, digital or non-digital, to solve real problems.
Amy Dubin: Designing in a Bubble
This presentation speaks to designers of all types to help them understand the business implications of design, to appreciate the expertise in others that can propel their ideas into fruition and to know when/how to ask for help.
Implementing artificial intelligence in startups
The document discusses how startups can implement artificial intelligence. It recommends that startup founders 1) become familiar with AI concepts and analytics, 2) train teams to develop AI solutions, and 3) identify problems their products could solve using AI. Additionally, startups should 4) create affordable products, 5) connect with other experts, 6) build robust data collection platforms, 7) implement AI in daily operations for a good customer experience, and 8) adopt modern AI techniques.
Innofest2010
Presented at the Innovation Festival on 9 March 2010 by Tasos Calantzis from Terrestrial (previously Readymade)
Learning About Machine Learning
Presented at the Dutch PHP Conference on June 30th 2017
From chatbots to your home thermostat, it seems like machine learning algorithms are everywhere nowadays. How about understanding how this works now? In this talk, you will learn about the basics of machine learning through various basic examples, without the need for a PhD or deep knowledge of assembly. At the end of this talk, you will know what the Naive Bayes classifiers, sentiment analysis and basic genetic algorithms are and how they work. You will also see how to create your own implementations in PHP.
CreativITy - The Leiden Institute for Advanced Computer Science session
The document discusses taking a creative and pragmatic approach to software design. It recommends making solutions small and modular rather than overengineered. Developers should work together toward the shared goal and keep code clean and tidy rather than striving for perfection. Choosing the right tools and level of detail is important, as is not being afraid to ask for help. Vision and a clear effort level are the main prerequisites for a good project.
Data analytics with managerial application ass 2
This document summarizes an article about data scientists and their growing importance. It defines data science as the study of extracting knowledge from data using techniques from many fields, including mathematics, statistics, programming, and data engineering. A data scientist must have expertise in business, statistics, programming, databases, visualization, and communication. The document also notes that demand for data scientists is predicted to increase 28% by 2020 according to IBM, and that managers in India should consider training current employees in data science to meet this growing need for these important roles.
Logical communication at IISc 20210327
This document appears to be a slide presentation on logical communication by Kazuaki Oda. The presentation covers principles of logical communication, including focusing on listening, using clear yes/no answers, stating conclusions before reasons and details, and separating opinions from facts. It also contains two case studies where the presenter provides examples of logical and unclear communication. The first case study involves providing transportation instructions from an airport to a campus for a visiting professor, and the second involves a phone call regarding an incorrect product delivery to an angry customer.
Wizenhire
WizeHire is a recruitment tool that provides instant, interactive rankings of job candidates based on job fit, talent, and engagement. It uses predictive psychometric testing of over 2 million candidates to benchmark candidates against high performers in specific jobs. The tool screens for factors like teachability, empathy, honesty, and optimism. It is available in 13 languages and integrates with applicant tracking systems. The company has 1,500 consultants worldwide and provides all necessary documentation for its technology.
AI and the Future of the Service Industry
Artificial Intelligence is predicted to disrupt the service industry including the professions of law, accounting, medicine and more. What exactly is AI, how do human and AI work together or compete, what jobs will be left (if any?), and what skills should you hone to prepare for the profession of the future
Accilium story @ re treat 2021
Accilium is a management consulting firm founded in 2017 that specializes in digital transformation within the mobility ecosystem, helping traditional players and new entrants adapt to changing customer demands. It focuses on projects related to software excellence, future engineering, sustainability, and other areas. Accilium believes in learning constantly and taking an entrepreneurial approach through hands-on work rather than just researching issues. It contributes thought leadership on mobility's future through presentations, articles, and events. The firm aims to evolve with its clients and help them transform organizationally and technologically for the future of mobility.
Talk on Visual AI
The document discusses how artificial intelligence is being used to build algorithms that can understand the visual world, with a focus on recent developments in deep learning that have helped solve problems in image recognition, language processing, and speech recognition. It provides examples of image recognition, image captioning, and visual question answering, and how companies like Tesla and Google are applying these techniques to autonomous vehicles. The document concludes by discussing potential next steps involving deep reinforcement learning and artificial general intelligence.
Have you AI'ed today? A Reality Check
Charles Mok discusses the potentials and limitations of artificial intelligence (AI). While AI shows promise in areas like diagnosing diseases, fighting climate change, and translating languages, it also faces limitations. AI may struggle with tasks requiring "System 2" thinking like abstract reasoning, planning, and understanding cause and effect. It can also replicate and even amplify the biases of its human creators. To realize AI's full potentials, Mok argues we must know its limitations, impose proper oversight and controls, ensure ethics and equality are incorporated, and take a realistic approach focused on specific tasks rather than assuming it can solve all problems.
Tech Startup Day - Funding- Ownership & Exit Scenarios - Patrick Vandrabant
Patrick Vanbrabandt was with Steven van Belleghem and Peter Hinssen along on the first trip to Silicon Valley. On the last evening the participating entrepreneurs and managers were so impressed with what they saw in those five days and experienced, they proposed to put what they learned into practice. Thus the idea of a smart bracelet for the elderly emerged. Meanwhile, the product has been successfully marketed. Patrick tells more about the start-up, the lessons learned and where they now stand.
In everyday life, Patrick is founder and CEO of Carya Group and MyGuest, companies principally engaged in the automotive industry.
Artificial Intelligence Impact - What AI is (and isn't) Helping Startups Scal...
(This presentation was created as a short talk for a French Tech Hub event in San Francisco)
Contents:
- What investors see as "drivers of value" in terms of the use of AI in specific industries and business applications
- Examples of AI in industry (exploring business models and use cases)
- Where AI fits into (or doesn't) the business model of your startup, and how to determine whether or not AI has any short-term value in a specific business model
What's hot (15)
PDF CEE 2018 - How to incubate Civic Tech Projects
PDF CEE 2018 - How to incubate Civic Tech Projects
CreativITy - The Leiden Institute for Advanced Computer Science session
CreativITy - The Leiden Institute for Advanced Computer Science session
Tech Startup Day - Funding- Ownership & Exit Scenarios - Patrick Vandrabant
Tech Startup Day - Funding- Ownership & Exit Scenarios - Patrick Vandrabant
Artificial Intelligence Impact - What AI is (and isn't) Helping Startups Scal...
Artificial Intelligence Impact - What AI is (and isn't) Helping Startups Scal...
Similar to AI & Health Hackathon Day
MOOCS AI 1.pptx
The document provides an overview of an artificial intelligence course taught at the Nadimpalli Satyanarayana Raju Institute of Technology. The course instructor is D Hema Sri Chowdary and covers topics such as the definition of AI, its importance and applications, the differences between AI, machine learning and deep learning, and the pros and cons of AI. A brief history of AI development is also presented, outlining major advancements from 1956 to the present.
Hype vs. Reality: The AI Explainer
Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems?
Here’s what AI learnings your business should keep in mind for 2017.
How to Use Artificial Intelligence to Grow Your Business
Are you interested in learning how to use Artificial Intelligence and Machine Learning for business? If so, then be sure to download this information-packed PDF based on a presentation made by internationally recognized author, speaker, and network TV news contributor Jamie Turner.
Career Pivot to AI webinar by Sudha Jamthe on DriverlessWorldSchool.com
Sudha Jamthe introduces Artificial Intelligence use cases, markets, applications, jobs and how to pivot to AI for new jobs or new roles in existing companies. This is part of a series on DriverlessWorldSchool.com
What is artificial intelligence Definition, top 10 types and examples.pdf
What is artificial intelligence?
Although many definitions of artificial intelligence (AI) have emerged over the past few decades, John McCarthy provided the following definition in this 2004 paper (link is located outside ibm.com): MASU. Especially intelligent computer programs. It deals with the same task of using computers to understand human intelligence, but AI does not need to be limited to biologically observable methods.
Definition of artificial intelligence
Artificial intelligence is the imitation of human intelligence processes by machines, especially computer systems. Typical applications of AI include expert systems, natural language processing, speech recognition, and machine vision.
How does artificial intelligence (AI) work?
As the hype around AI grows, vendors are making efforts to promote how AI is used in their products and services. Often, what they call AI is just a component of technologies like machine learning. AI requires specialized hardware and software infrastructure to write and train machine learning algorithms. Although no single programming language is synonymous with AI, Python, R, Java, C++, and Julia have features that are popular among AI developers.
Generally, AI systems work by ingesting large amounts of labeled training data, analyzing correlations and patterns in the data, and using these patterns to predict future situations. This way, given examples of text, chatbots can learn to generate authentic-like conversations with people. Image recognition tools can also learn to recognize and describe objects in images by considering millions of examples. New and rapidly advancing generic AI technology allows you to create realistic text, images, music, and other media.
Artificial intelligence programming focuses on cognitive skills such as:
• Learn: This aspect of AI programming focuses on taking data and creating rules to turn it into actionable information. Rules, called algorithms, provide step-by-step instructions for computing devices to accomplish a particular task.
• Logic. This aspect of AI programming focuses on selecting the appropriate algorithm to achieve the desired result.
• Self-correction: This aspect of AI programming is designed to continuously improve the algorithms and provide the most accurate results possible.
• Creativity. This aspect of AI uses neural networks, rule-based systems, statistical methods, and other AI techniques to generate new images, new text, new music, and new ideas.
Differences between AI, machine learning and deep learning
AI, machine learning, and deep learning are common terms in enterprise IT, especially when companies use them interchangeably in marketing materials. But there are differences too. The term AI was coined in the 1950s and refers to the emulation of human intelligence by machines. A constantly changing set of capabilities is incorporated as new technologies are developed. Technologies falling under the umbrella of AI include machine learning and deep lea
Big Data LDN 2017: Reshaping Digital Business With Augmented Intelligence
Date: 16th November 2017
Location: Keynote Theatre
Time: 15:50 - 16:20
Speaker: Robert Golladay
Organisation: Cognitive Scale
Machine Learning & AI
While Machine Learning became the buzzword very recently, the term artificial intelligence (AI) has been around for 60 years.
The world is quietly being reshaped by machine learning. We no longer need to teach computers how to perform complex tasks like image recognition or text translation: instead, we build systems that let them learn how to do it themselves.
Today's managers should know whats coming next.
AI and The future of work
1. AI and machine learning, especially deep learning, will transform many industries by enabling tasks that humans can currently do in under a second to be automated.
2. For companies to successfully adopt AI, they need clear strategies around data, talent, and how to differentiate themselves since algorithms and open-source code are commodities.
3. In retail specifically, computer vision and video analytics powered by AI can provide critical insights into customer behavior and in-store operations.
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docx
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 ...
Hype vs. Reality: The AI Explainer
Artificial intelligence (AI) is everywhere, promising self-driving cars, medical breakthroughs, and new ways of working. But how do you separate hype from reality? How can your company apply AI to solve real business problems?
Here’s what AI learnings your business should keep in mind for 2017.
About Machine and real
Artificial intelligence is promising new technologies but also hype that needs separating from reality. A discussion was held between executives in healthcare, machine learning and analytics with experts Hilary Mason and Sandy Allerheiligen. In the short term, AI automates tasks to save money and makes recommendations. In the long term, AI will transform industries like healthcare through medical imaging analysis and self-driving cars. Companies should start with problems not solutions, emphasize how AI augments not replaces humans, and engage skeptics to gain support.
Allaboutailuminarylabsjanuary122017 170112151616
Artificial intelligence is promising new technologies but also hype that needs separating from reality. A discussion was held between executives in healthcare, machine learning and analytics with experts Hilary Mason and Sandy Allerheiligen. In the short term, AI can automate tasks to save money and make recommendations. In the longer term, AI will transform industries like healthcare through medical imaging analysis and self-driving cars. Companies should start with problems not solutions, emphasize how AI augments not replaces humans, and engage skeptics to gain support.
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici
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.docx
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.
How can business professionals succeed in a future with AI
The document discusses how business professionals can succeed in a future with AI. It begins with quotes about the impact of AI and the potential for job automation. The presenter then outlines the topics to be covered, including what AI is, how it works, why its impact is significant now, where AI is going, and what this means for careers. Key takeaways include that repetitive tasks will be automated, focus should be on dynamic work, and AI needs to be developed and used responsibly. Opportunities exist in embracing AI to create new products and services.
haiped. impact of AI in marketing comms and CX
Research presentation on the impact of AI on the advertising and CX landscape.
We start with a short introduction of AI, the causes of recent focus and hype, as well as a simplified model to compartmentalise different AI models.
The presentation constructs a framework to assess the potential impact of AI against :
- the complexity of the work
- the type of work being done - analysis, decision-making, and execution.
Based on the framework, the presentation argues for four possible futures:
- Creativity at the centre
- Digitalization of marketing
- Efficiency of marketing
- Impact of marketing
Furthermore, the presentation lists dangers and limitations inherent in the technology, as well as how agencies or individuals can get started to navigate the unknown future.
At its conclusion, it's argued that AI will likely have a substantial impact on the advertising and marketing industry. The agency business model is already under strain and will need to quickly adapt in light of significant threats posed by continued advancements in automation and generative AI models.
Rick Nucci (Founder/CEO, Guru) - AI, Hype, And The Future Of Humanity
Rick Nucci (Founder/CEO, Guru) - AI, Hype, And The Future Of HumanityBusiness of Software Conference
1) AI is currently experiencing a "big AI Spring" due to improvements in data availability, processing power, and interfaces that have increased data for training models.
2) However, there is also significant hype around AI capabilities that often misrepresent the current state of the technology. AI systems require specific, high-quality data and focused problems to solve in order to deliver real value.
3) The speaker advocates focusing on using AI to empower employees and improve customer experiences, rather than replacing humans, in order to realize transformational benefits while managing expectations.Artificial intelligence course in Nangloi.
Artificial intelligence, commonly abbreviated as AI, refers to the ability of machines to perform tasks that typically require human intelligence, such as learning, problem-solving, decision-making, and language understanding.
If you want to take an Artificial intelligence course in Delhi, then do check out Jeetech Academy, they are one of the best Artificial intelligence training institute in Delhi.
https://jeetechacademy.com/artificial-intelligence-course/
[DSC Europe 22] Next-Wave of Value – Operating Model for Scaling Data Science...
[DSC Europe 22] Next-Wave of Value – Operating Model for Scaling Data Science...DataScienceConferenc1
The generation of value using machine learning and artificial intelligence for companies and their customers is now undeniable. Many companies have successfully completed the first phase of data-driven transformation and are now facing the task of creating sustainable value for the organization through scaling. With the advance of hyperscalers, automation and democratization of AI, many skills that were previously relevant and difficult to access are becoming “commodities”. The interaction between the data scientists and business departments is becoming even more important. The central question of many companies is now: "What should the organization for efficient scaling of data-driven solutions look like in the future?" In this talk, the question will be considered from an organizational and technological point of view using "Lessons Learned" with the aim of outlining the essential foundations for a sustainable operating model.Artificial Intelligence: How to prepare yourself for the future
This document provides an overview of artificial intelligence (AI) and discusses how to position oneself for a career in AI. It defines AI and describes how machines are getting smarter, with algorithms detecting disease outbreaks faster than humans and driverless cars projected to make up 75% of traffic by 2040. The document outlines various AI applications, subfields, and how AI works using large data and algorithms. It also discusses limitations of AI and careers in AI like machine learning engineering. It advises keeping up with trends, learning new technologies, and developing soft skills to succeed in an AI-influenced future.
Similar to AI & Health Hackathon Day (20)
How to Use Artificial Intelligence to Grow Your Business
How to Use Artificial Intelligence to Grow Your Business
Career Pivot to AI webinar by Sudha Jamthe on DriverlessWorldSchool.com
Career Pivot to AI webinar by Sudha Jamthe on DriverlessWorldSchool.com
What is artificial intelligence Definition, top 10 types and examples.pdf
What is artificial intelligence Definition, top 10 types and examples.pdf
Big Data LDN 2017: Reshaping Digital Business With Augmented Intelligence
Big Data LDN 2017: Reshaping Digital Business With Augmented Intelligence
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docx
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docx
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docx
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docx
How can business professionals succeed in a future with AI
How can business professionals succeed in a future with AI
Rick Nucci (Founder/CEO, Guru) - AI, Hype, And The Future Of Humanity
Rick Nucci (Founder/CEO, Guru) - AI, Hype, And The Future Of Humanity
[DSC Europe 22] Next-Wave of Value – Operating Model for Scaling Data Science...
[DSC Europe 22] Next-Wave of Value – Operating Model for Scaling Data Science...
Artificial Intelligence: How to prepare yourself for the future
Artificial Intelligence: How to prepare yourself for the future
Recently uploaded
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
20240605 QFM017 Machine Intelligence Reading List May 2024
Everything I found interesting about machines behaving intelligently during May 2024
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Mind map of terminologies used in context of Generative AI
Mind map of common terms used in context of Generative AI.
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
UiPath Test Automation using UiPath Test Suite series, part 5
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Communications Mining Series - Zero to Hero - Session 1
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Recently uploaded (20)
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
AI & Health Hackathon Day
- 1. AI and ML in Health Sector Davis David - Data Scientist, ParrotAI
- 2. What is Artificial Intelligence Ability of the computer system to perform tasks like human being ❖ Artificial Narrow Intelligence(ANI) This is the Artificial Intelligence that focus on doing one thing. Most of the progress are in this area.Example: Smart speaker, self driving, web search etc ❖ Artificial General intelligence (AGI) This is the Artificial Intelligence that focus on doing anything a human can do Note: There is much progress in ANI but no progress in AGI
- 4. How do I know if my AI idea is possible? Answering this question is usually pretty straightforward. There are only a few questions that you need to ask yourself: ❖ How good do humans do it? ❖ How easily would you be able to capture 10,000 to 100,000 examples of a human doing it? (Quality of Data) ❖ Is my AI Idea creating value? (reduce cost,increase revenue,launch new line of business)
- 5. How to Choose AI Project Select projects that are feasible and can be done with AI and that are also valuable for your business. This need intersection for AI experts and domain experts. Include people from both expertise (AI and domain) and start brainstorming together, you can come up with good AI project.
- 6. How to Choose AI Project
- 7. Strengths of Machine Learning (a) Learning a simple concept (b) There is lots of data available(quality data)
- 8. Limitation of Machine Learning (a) Learning complex concepts from small amount of data. (b)Machine Learning Algorithms Require Massive Stores of Training Data.
- 9. +255(0) 762 260 621 | d.david@parrotai.co.tz | www.parrotai.co.tz