9 facts about artificial intelligence
•
0 likes•131 views
Artificial intelligence (AI) is getting lots of attention from press and investors. It's a technology with the potential to transform many industries and many aspects of day to day life. Many companies think AI will influence all aspects of their business from products to services.
Report
Share
Report
Share
Download to read offline
Recommended
CES 2017 Top 5 Stories
The document summarizes the top 5 stories from CES 2017 about artificial intelligence and deep learning accelerating innovation. Artificial intelligence was a major focus at CES 2017, with keynotes discussing new AI technologies from companies like NVIDIA, Audi announcing they will bring self-driving cars to market by 2020 using NVIDIA's AI platform, and hundreds of companies integrating voice assistants into their technologies. The top stories highlighted new AI assistants for drivers from NVIDIA, Google AI spreading through more home devices, and Mercedes-Benz collaborating with NVIDIA on AI car technology.
How AI Is Accelerating Retail Transformation
The document discusses how artificial intelligence and deep learning technologies are accelerating the transformation of the retail sector. It provides examples of startups applying these technologies in areas like computer vision, natural language processing, and recommendation engines to improve consumer experiences with personalized product search, fitting, and recommendations. The volume of data from mobile, POS, social media and other sources is fueling this transformation by enabling AI to gain deeper insights into customer preferences.
Nvidia AI - The Foundation of the Smart City
Nvidia's 10/26/17 Advantech Solution Day presentation by Adam Scraba. Showcases examples of how Nvidia powered AI solutions increase public safety through video analysis and object recognition to significantly speed surveillance camera footage review and search.
Full details and tech talk video: http://www.advantech-eautomation.com/eMarketingPrograms/Server_SolutionDay/
Artificial Intelligence
Artificial intelligence is rapidly developing and will be integrated into most new software by 2020 according to research firm Gartner. While AI could greatly benefit society, experts like Elon Musk and Stephen Hawking warn that advanced AI poses existential risks to humanity if not properly addressed. A potential downside is that many jobs may be replaced by automation, putting over 137 million jobs in Southeast Asia alone at risk over the next 20 years.
Upcoming Applications of Artificial intelligence in 2019
From AI Chips to healthcare and surveillance, here are some of the applications of Artificial Intelligence that we can witness in the year 2019.
HPC Top 5 Stories: Dec. 12, 2016
Read updates highlighting what’s hot in high performance computing, including wrap ups from SC16 and news about our HPC and OpenACC training event.
Top 5 Deep Learning 12/8
This document discusses advances in deep learning and AI through partnerships between NVIDIA and top research institutions. It summarizes that NVIDIA delivered its DGX-1 AI supercomputer to UC Berkeley and Mass General Hospital to accelerate breakthroughs in deep learning for tasks like analyzing medical data and autonomous vehicles. Applications highlighted include isolating speech from noise, predicting health risks from genes, and allowing NVIDIA to test self-driving vehicles in California.
How is Artificial Intelligence changing the Manufacturing Industry?
Manufacturing and industry are changing with the introduction of AI, IoT, and other automated technologies. We have arrived to a new, augmented age, in which Artificial Intelligence gains a new role. The future holds a generated era in which artificial intelligence comes up with its own designs, its own ideas, its own products instead of all our tools being passive, us telling them what to do and they are doing it.
Recommended
CES 2017 Top 5 Stories
The document summarizes the top 5 stories from CES 2017 about artificial intelligence and deep learning accelerating innovation. Artificial intelligence was a major focus at CES 2017, with keynotes discussing new AI technologies from companies like NVIDIA, Audi announcing they will bring self-driving cars to market by 2020 using NVIDIA's AI platform, and hundreds of companies integrating voice assistants into their technologies. The top stories highlighted new AI assistants for drivers from NVIDIA, Google AI spreading through more home devices, and Mercedes-Benz collaborating with NVIDIA on AI car technology.
How AI Is Accelerating Retail Transformation
The document discusses how artificial intelligence and deep learning technologies are accelerating the transformation of the retail sector. It provides examples of startups applying these technologies in areas like computer vision, natural language processing, and recommendation engines to improve consumer experiences with personalized product search, fitting, and recommendations. The volume of data from mobile, POS, social media and other sources is fueling this transformation by enabling AI to gain deeper insights into customer preferences.
Nvidia AI - The Foundation of the Smart City
Nvidia's 10/26/17 Advantech Solution Day presentation by Adam Scraba. Showcases examples of how Nvidia powered AI solutions increase public safety through video analysis and object recognition to significantly speed surveillance camera footage review and search.
Full details and tech talk video: http://www.advantech-eautomation.com/eMarketingPrograms/Server_SolutionDay/
Artificial Intelligence
Artificial intelligence is rapidly developing and will be integrated into most new software by 2020 according to research firm Gartner. While AI could greatly benefit society, experts like Elon Musk and Stephen Hawking warn that advanced AI poses existential risks to humanity if not properly addressed. A potential downside is that many jobs may be replaced by automation, putting over 137 million jobs in Southeast Asia alone at risk over the next 20 years.
Upcoming Applications of Artificial intelligence in 2019
From AI Chips to healthcare and surveillance, here are some of the applications of Artificial Intelligence that we can witness in the year 2019.
HPC Top 5 Stories: Dec. 12, 2016
Read updates highlighting what’s hot in high performance computing, including wrap ups from SC16 and news about our HPC and OpenACC training event.
Top 5 Deep Learning 12/8
This document discusses advances in deep learning and AI through partnerships between NVIDIA and top research institutions. It summarizes that NVIDIA delivered its DGX-1 AI supercomputer to UC Berkeley and Mass General Hospital to accelerate breakthroughs in deep learning for tasks like analyzing medical data and autonomous vehicles. Applications highlighted include isolating speech from noise, predicting health risks from genes, and allowing NVIDIA to test self-driving vehicles in California.
How is Artificial Intelligence changing the Manufacturing Industry?
Manufacturing and industry are changing with the introduction of AI, IoT, and other automated technologies. We have arrived to a new, augmented age, in which Artificial Intelligence gains a new role. The future holds a generated era in which artificial intelligence comes up with its own designs, its own ideas, its own products instead of all our tools being passive, us telling them what to do and they are doing it.
Top 5 Deep Learning and AI Stories 1/27
In this week's top 5 #deeplearning, hear our latest #AI podcast, identifying skin cancer, and how IBM is powering their cognitive computers with NVIDIA's AI tools.
Update on Technology Trends
Chintan's presentation on upcoming Technology trends. Slide deck from the talk delivered at a joint event organised by Project Management Institute, Mumbai Chapter & Capgemini India at Mumbai Campus on 10th Dec 2016. Due credits extended herewith. Presentation for education purpose only. Follow Chintan on Twitter handle @HiChintan
Danny Shapiro at AI Frontiers : Accelerating the Race to AI Self-Driving Cars
AI is transforming industries from consumer services to robotics. The transportation industry is next. As the industry moves from ADAS to the next-generation of self-driving technology, breakthroughs in computing are changing how we interact with vehicles, and enabling them to drive us. Deep learning is the game-changing technology behind all autonomous vehicle development. This session will showcase some of the latest deep learning systems from the data center to the vehicle being development to create safe and secure self-driving vehicles.
How AI changes SME finance
Artificial Intelligence (AI) is already impacting all of our lives. Prominent examples for current uses are virtual assistants, such as: Alexa, Siri and Google Assistant. Spotify playlists based on musical taste is another example.
Turning dreams into digital businesses - Eric van Uum (Microsoft)
Presentatie gegeven door Eric van Uum tijdens de Frontis Inspiratiesessie op donderdag 15 november in ICER Innovatiecentrum.
Future of Autonomous Transportation filene event keynote NY 2018
Sudha Jamthe talks about the Future of Autonomous Transportation to a group of credit union innovators. She brings a futuristic lens to Cognitive IoT meets Autonomous Vehicles. She introduces a new concept of autonomous vehicle payments calling it M2H (Machine to Human) or P2M (Person to Machine) payment for repeat tasks involving exchange of money between AVs and passengers. And more.
AI Everywhere: How Microsoft is Democratizing AI
This document discusses Microsoft's approach to artificial intelligence (AI) and democratizing it. It outlines Microsoft's strategy to develop AI agents, applications, services, and infrastructure. The goal is to harness AI to change how people interact with technology and infuse intelligence into every application. Microsoft aims to make powerful AI capabilities available to all developers to solve challenges and create new experiences through human-machine collaboration.
Job shifts due to New Age Technologies
With the advancement in the Technology and technology providing new jobs, there is a definite shift in the jobs.
This presentation takes us from the Industry 1.0 to Industry 4.0 and also throws light on the skills shift as pointed by World Economic Forum (WEF).
Digital Intox, Digital Detox
21ème #mforum "Welcome in the age of Ask". Présentation de Christophe Chatillon (CEO de Tapptic). 14 juin 2017
Demystifying artificial intelligence information technology
The document discusses the rise of artificial intelligence and its impact. It notes that AI will automate tasks, not entire jobs. The market for enterprise AI applications is expected to exceed $30 billion by 2025. It also discusses how AI is becoming more personalized through machine learning and how data preparation accounts for most of a data scientist's work. The future impacts of AI are still largely unknown.
How artificial intelligence will change in 2050 venkat vajradhar - medium
This article discusses how artificial intelligence may change and advance between now and 2050. It outlines how AI is already integrated into many aspects of daily life through voice assistants, online recommendations, and other applications. The article then explores how AI could potentially revolutionize industries like entertainment, medicine, cybersecurity, transportation, and care for elderly individuals by 2050 through more advanced machine learning, personalized healthcare, improved security systems, fully autonomous vehicles, and assistive technologies.
The future of artificial intelligence in manufacturing industries
For large industries such as gaming, banking, retail, commerce, and government. AI is widely used and slow in the manufacturing sector, facilitating industrial automation. AI-powered machines show an easy path to the future by providing some benefits — providing new opportunities, increasing production capacity and bringing machine technology closer to human interaction.
Internet of Things
This document discusses the Internet of Things (IoT). It defines IoT as billions of devices, sensors and chips that are able to communicate via the Internet to create smart environments. Key trends in IoT include machine-to-machine communication, new IoT apps, big data, cloud computing, and wearables. IoT is expected to have a big impact, generating over $300 billion in revenue by 2020 and $8.9 trillion globally by that year. The document also notes the author's interest in areas like home and building automation for an internship.
Exploring the Momentum: The Intersection of AI and HPC
Learn how the intersection of AI and HPC are advancing deep learning solutions for enterprises and research institutions around the world,
Augmented Reality in 2018 and beyond @ Emerce Tech Live 2018
This document discusses the current state and future of augmented reality (AR) technology. It covers the following key points:
1. Mobile AR usage is growing and will continue to grow through advancements in computer vision and cloud technologies that allow AR content to be stored and accessed across different devices.
2. The first AR head-mounted displays (HMDs) will begin being adopted by early adopters and enterprises in 2018.
3. Enterprise AR is expected to see the biggest growth, being used for applications like remote assistance, training, and design/creation.
Business Disruption with intelligent machines things expo nov 1 2016
The document discusses how intelligent machines and artificial intelligence are disrupting various industries. It describes emerging technologies like machine learning, computer vision, natural language processing and how they are being applied in healthcare, manufacturing, transportation and other sectors. It also examines how industries like retail, customer service and media are being impacted by chatbots, mixed reality and autonomous technologies. While AI is progressing rapidly, the document notes that human-level artificial general intelligence has not been achieved yet and that AI development still faces challenges in achieving social and cultural nuances.
Emerging digital trends 2k18
A presentation on Digital trends!
Will definitely help you to know on which speed digital is emerging
Smart machines -presentation, November 2014
The document discusses smart machines and their disruptive impact. It describes smart machines as technologies that can deal with complexity and uncertainty, make probabilistic decisions, understand contexts, and serve a variety of uses. Examples mentioned include robots, self-driving cars, and cognitive systems like IBM Watson. The emergence of smart machines is enabled by innovations in cloud computing, big data, the internet of things, and robotics. The smart machine era is predicted to be the most disruptive in the history of IT.
Technology trends of 2019
The document outlines 5 top technology trends for 2019: Internet of Things (IOT), blockchain, mixed reality, cloud technologies, and 5G. IOT involves connecting electronic devices like vehicles and appliances to the internet using sensors to allow interaction. Blockchain promises to reshape industries by enabling trust without centralized authorities. Mixed reality combines augmented reality and virtuality to provide new visual experiences. Cloud computing relies on sharing resources via the internet to reduce costs. 5G will offer high data rates, reduced costs, high system capacity and connectivity for many devices. The trends are poised to impact businesses and industries going forward.
Artificial intelligence infogragphic
Artificial intelligence market growth is driven by increasing adoption of cloud-based applications and services, and the rise of connected devices. The global AI market was valued at $39.9 billion in 2019 and is expected to grow at a 42.2% compound annual growth rate from 2020 to 2027. As AI becomes more prevalent, robots will be able to communicate and understand human needs based on machine learning to help reduce manual work. AIBrain is an AI company founded in 1997 that is working to create fully autonomous artificial intelligence, and their product Tyche is currently the most intelligent smartphone robot. While automation and AI are often linked, they may have different impacts on the future of work.
Commercialization of AI 3.0
This whitepaper provides an overview of artificial intelligence (AI) and its commercialization. It discusses the history and development of AI from early pattern recognition (AI 1.0) to today's deep learning (AI 2.0) to the emerging contextual reasoning (AI 3.0). Key points include how transfer learning and increased computing power are driving new AI applications and how AI is being applied commercially in healthcare, manufacturing, logistics, and other industries. The document also addresses the global demand for AI talent and the challenges of developing reliable AI systems that can operate under changing conditions.
Inteligencia Artificial.pdf
This document provides an introduction to WSJ Pro Artificial Intelligence, a new offering from The Wall Street Journal that aims to help businesses understand and draw value from the rise of artificial intelligence. The summary discusses the impact of AI on businesses, how WSJ Pro AI will assess the effects of AI on different levels and issues of companies, and provides examples of the types of journalism that will be included.
More Related Content
What's hot
Top 5 Deep Learning and AI Stories 1/27
In this week's top 5 #deeplearning, hear our latest #AI podcast, identifying skin cancer, and how IBM is powering their cognitive computers with NVIDIA's AI tools.
Update on Technology Trends
Chintan's presentation on upcoming Technology trends. Slide deck from the talk delivered at a joint event organised by Project Management Institute, Mumbai Chapter & Capgemini India at Mumbai Campus on 10th Dec 2016. Due credits extended herewith. Presentation for education purpose only. Follow Chintan on Twitter handle @HiChintan
Danny Shapiro at AI Frontiers : Accelerating the Race to AI Self-Driving Cars
AI is transforming industries from consumer services to robotics. The transportation industry is next. As the industry moves from ADAS to the next-generation of self-driving technology, breakthroughs in computing are changing how we interact with vehicles, and enabling them to drive us. Deep learning is the game-changing technology behind all autonomous vehicle development. This session will showcase some of the latest deep learning systems from the data center to the vehicle being development to create safe and secure self-driving vehicles.
How AI changes SME finance
Artificial Intelligence (AI) is already impacting all of our lives. Prominent examples for current uses are virtual assistants, such as: Alexa, Siri and Google Assistant. Spotify playlists based on musical taste is another example.
Turning dreams into digital businesses - Eric van Uum (Microsoft)
Presentatie gegeven door Eric van Uum tijdens de Frontis Inspiratiesessie op donderdag 15 november in ICER Innovatiecentrum.
Future of Autonomous Transportation filene event keynote NY 2018
Sudha Jamthe talks about the Future of Autonomous Transportation to a group of credit union innovators. She brings a futuristic lens to Cognitive IoT meets Autonomous Vehicles. She introduces a new concept of autonomous vehicle payments calling it M2H (Machine to Human) or P2M (Person to Machine) payment for repeat tasks involving exchange of money between AVs and passengers. And more.
AI Everywhere: How Microsoft is Democratizing AI
This document discusses Microsoft's approach to artificial intelligence (AI) and democratizing it. It outlines Microsoft's strategy to develop AI agents, applications, services, and infrastructure. The goal is to harness AI to change how people interact with technology and infuse intelligence into every application. Microsoft aims to make powerful AI capabilities available to all developers to solve challenges and create new experiences through human-machine collaboration.
Job shifts due to New Age Technologies
With the advancement in the Technology and technology providing new jobs, there is a definite shift in the jobs.
This presentation takes us from the Industry 1.0 to Industry 4.0 and also throws light on the skills shift as pointed by World Economic Forum (WEF).
Digital Intox, Digital Detox
21ème #mforum "Welcome in the age of Ask". Présentation de Christophe Chatillon (CEO de Tapptic). 14 juin 2017
Demystifying artificial intelligence information technology
The document discusses the rise of artificial intelligence and its impact. It notes that AI will automate tasks, not entire jobs. The market for enterprise AI applications is expected to exceed $30 billion by 2025. It also discusses how AI is becoming more personalized through machine learning and how data preparation accounts for most of a data scientist's work. The future impacts of AI are still largely unknown.
How artificial intelligence will change in 2050 venkat vajradhar - medium
This article discusses how artificial intelligence may change and advance between now and 2050. It outlines how AI is already integrated into many aspects of daily life through voice assistants, online recommendations, and other applications. The article then explores how AI could potentially revolutionize industries like entertainment, medicine, cybersecurity, transportation, and care for elderly individuals by 2050 through more advanced machine learning, personalized healthcare, improved security systems, fully autonomous vehicles, and assistive technologies.
The future of artificial intelligence in manufacturing industries
For large industries such as gaming, banking, retail, commerce, and government. AI is widely used and slow in the manufacturing sector, facilitating industrial automation. AI-powered machines show an easy path to the future by providing some benefits — providing new opportunities, increasing production capacity and bringing machine technology closer to human interaction.
Internet of Things
This document discusses the Internet of Things (IoT). It defines IoT as billions of devices, sensors and chips that are able to communicate via the Internet to create smart environments. Key trends in IoT include machine-to-machine communication, new IoT apps, big data, cloud computing, and wearables. IoT is expected to have a big impact, generating over $300 billion in revenue by 2020 and $8.9 trillion globally by that year. The document also notes the author's interest in areas like home and building automation for an internship.
Exploring the Momentum: The Intersection of AI and HPC
Learn how the intersection of AI and HPC are advancing deep learning solutions for enterprises and research institutions around the world,
Augmented Reality in 2018 and beyond @ Emerce Tech Live 2018
This document discusses the current state and future of augmented reality (AR) technology. It covers the following key points:
1. Mobile AR usage is growing and will continue to grow through advancements in computer vision and cloud technologies that allow AR content to be stored and accessed across different devices.
2. The first AR head-mounted displays (HMDs) will begin being adopted by early adopters and enterprises in 2018.
3. Enterprise AR is expected to see the biggest growth, being used for applications like remote assistance, training, and design/creation.
Business Disruption with intelligent machines things expo nov 1 2016
The document discusses how intelligent machines and artificial intelligence are disrupting various industries. It describes emerging technologies like machine learning, computer vision, natural language processing and how they are being applied in healthcare, manufacturing, transportation and other sectors. It also examines how industries like retail, customer service and media are being impacted by chatbots, mixed reality and autonomous technologies. While AI is progressing rapidly, the document notes that human-level artificial general intelligence has not been achieved yet and that AI development still faces challenges in achieving social and cultural nuances.
Emerging digital trends 2k18
A presentation on Digital trends!
Will definitely help you to know on which speed digital is emerging
Smart machines -presentation, November 2014
The document discusses smart machines and their disruptive impact. It describes smart machines as technologies that can deal with complexity and uncertainty, make probabilistic decisions, understand contexts, and serve a variety of uses. Examples mentioned include robots, self-driving cars, and cognitive systems like IBM Watson. The emergence of smart machines is enabled by innovations in cloud computing, big data, the internet of things, and robotics. The smart machine era is predicted to be the most disruptive in the history of IT.
Technology trends of 2019
The document outlines 5 top technology trends for 2019: Internet of Things (IOT), blockchain, mixed reality, cloud technologies, and 5G. IOT involves connecting electronic devices like vehicles and appliances to the internet using sensors to allow interaction. Blockchain promises to reshape industries by enabling trust without centralized authorities. Mixed reality combines augmented reality and virtuality to provide new visual experiences. Cloud computing relies on sharing resources via the internet to reduce costs. 5G will offer high data rates, reduced costs, high system capacity and connectivity for many devices. The trends are poised to impact businesses and industries going forward.
Artificial intelligence infogragphic
Artificial intelligence market growth is driven by increasing adoption of cloud-based applications and services, and the rise of connected devices. The global AI market was valued at $39.9 billion in 2019 and is expected to grow at a 42.2% compound annual growth rate from 2020 to 2027. As AI becomes more prevalent, robots will be able to communicate and understand human needs based on machine learning to help reduce manual work. AIBrain is an AI company founded in 1997 that is working to create fully autonomous artificial intelligence, and their product Tyche is currently the most intelligent smartphone robot. While automation and AI are often linked, they may have different impacts on the future of work.
What's hot (20)
Danny Shapiro at AI Frontiers : Accelerating the Race to AI Self-Driving Cars
Danny Shapiro at AI Frontiers : Accelerating the Race to AI Self-Driving Cars
Turning dreams into digital businesses - Eric van Uum (Microsoft)
Turning dreams into digital businesses - Eric van Uum (Microsoft)
Future of Autonomous Transportation filene event keynote NY 2018
Future of Autonomous Transportation filene event keynote NY 2018
Demystifying artificial intelligence information technology
Demystifying artificial intelligence information technology
How artificial intelligence will change in 2050 venkat vajradhar - medium
How artificial intelligence will change in 2050 venkat vajradhar - medium
The future of artificial intelligence in manufacturing industries
The future of artificial intelligence in manufacturing industries
Exploring the Momentum: The Intersection of AI and HPC
Exploring the Momentum: The Intersection of AI and HPC
Augmented Reality in 2018 and beyond @ Emerce Tech Live 2018
Augmented Reality in 2018 and beyond @ Emerce Tech Live 2018
Business Disruption with intelligent machines things expo nov 1 2016
Business Disruption with intelligent machines things expo nov 1 2016
Similar to 9 facts about artificial intelligence
Commercialization of AI 3.0
This whitepaper provides an overview of artificial intelligence (AI) and its commercialization. It discusses the history and development of AI from early pattern recognition (AI 1.0) to today's deep learning (AI 2.0) to the emerging contextual reasoning (AI 3.0). Key points include how transfer learning and increased computing power are driving new AI applications and how AI is being applied commercially in healthcare, manufacturing, logistics, and other industries. The document also addresses the global demand for AI talent and the challenges of developing reliable AI systems that can operate under changing conditions.
Inteligencia Artificial.pdf
This document provides an introduction to WSJ Pro Artificial Intelligence, a new offering from The Wall Street Journal that aims to help businesses understand and draw value from the rise of artificial intelligence. The summary discusses the impact of AI on businesses, how WSJ Pro AI will assess the effects of AI on different levels and issues of companies, and provides examples of the types of journalism that will be included.
Artificial Intelligence overview (by impulse)
What is Artificial Intelligence?
Where is the value potential of AI?
Major Acquisitions in AI
AI business cases
AI (& BI) Ecosystem
AI challenges
Networking/expertise
Conclusion
Artificial Intelligence can Offer People Great Relief from Performing Mundane...
AI refers to the recreation of human-like intelligence in machines created to function like humans and mimic their actions. Artificial Intelligence solutions can be applied to any device that exhibits traits similar to the human brain, such as the capacity to learn and analytical thinking.
AI & Innovation, Emerging trends & Future directions in AI.pptx
Artificial intelligence is being applied in many areas of daily life such as smartphones, social media, music/media streaming, video games, smart homes, security/surveillance, keyboards/apps, healthcare, e-commerce, email, vehicles, drones, banking/finance, online ads, and navigation/travel. Some key applications include personal assistants, recommendations, automation, detection/diagnosis, fraud prevention, translations, and customized experiences based on individual users. AI is already widely used and its applications continue to expand across more industries and services.
Author Francesca Rossi EN Policy Department C Citizens.docx
Author: Francesca Rossi EN
Policy Department C: Citizens' Rights and Constitutional Affairs
European Parliament
PE 571.380
Artificial Intelligence: Potential Benefits and
Ethical Considerations
KEY FINDINGS
The ability of AI systems to transform vast amounts of complex, ambiguous
information into insight has the potential to reveal long-held secrets and help solve
some of the world’s most enduring problems.
However, like all powerful technologies, great care must be taken in its development
and deployment. To reap the societal benefits of AI systems, we will first need to trust
them and make sure that they follow the same ethical principles, moral values,
professional codes, and social norms that we humans would follow in the same
scenario. Research and educational efforts, as well as carefully designed regulations,
must be put in place to achieve this goal.
International Business Machines Corporation (IBM) is actively engaged, both internally
as well as with its collaborators and competitors, in global discussions about how to
make AI ethical and as beneficial as possible for people as society.
1. WHAT IS ARTIFICIAL INTELLIGENCE?
The term “artificial intelligence” (AI) has been mentioned for the first time in 1956 by John
McCarthy during a conference where several scientists decided to meet to see if machines could
be made intelligent. Since then, AI is usually defined as the capability of a computer
program to perform tasks or reasoning processes that we usually associate to intelligence
in a human being. Often it has to do with the ability to make a good decision even when there
is uncertainty or vagueness, or too much information to handle.
As an example, playing chess well, or some complex card games, is believed to need some
form of intelligence in a human being, as well as choosing the best diagnosis in a difficult
medical case, or creating something new, such as a mathematical theorem or even some form
of art, or even driving a car in the middle of a crowded city.
It is clear that this is a strange definition, because it depends on what we consider being
intelligent in the behaviour of a human being at a certain point in time. If our belief about
human intelligence changes, and we don't believe any longer that a certain task requires
intelligence, then a computer program performing that task is no longer part of AI, it becomes
just another boring computer program.
The term “artificial intelligence” brings to mind to the notion of replacing human intelligence
with something synthetic. At IBM, we prefer the term “augmented intelligence”. This means
that we aim to build systems that enhance and scale human expertise and skills rather than
replacing them. We therefore focus on practical applications of discrete AI capabilities that
assist people in performing well-defined tasks, by exploiting a wide range of AI-based services.
We also use th ...
How Artificial Intelligence Will Change in 2050?
Over the past decade, artificial intelligence has moved from a sci-fi dream to a critical part of our daily lives. We use AI systems to interact with our phones and speakers through voice assistants like Tesla-made Siri, Alexa, and Google Car, Amazon monitors our browsing habits, and then products we think we want. Google also decides what to buy and what results from we want to give us based on our search functionality. Artificially intelligent algorithms are here and they have already changed our lives
A Dawn of Generative AI – Cuneiform Consulting.pdf
The goal of generative AI is to increase labour productivity and economic value by lowering the marginal cost of creative and knowledge work.
Artificial Intelligence: Predictions for 2017
Hear from top AI experts coming in from the world's most influential companies on predicted advances for AI in 2017.
AI-Presentation.pptx
AI systems work by ingesting large amounts of labeled training data, analyzing it for patterns, and using those patterns to make predictions. For example, a chatbot can learn to have human-like conversations by reviewing examples of text conversations, while image recognition can learn to identify objects by analyzing millions of labeled images. AI is an umbrella term that includes machine learning and deep learning. Machine learning enables software to make predictions from data without being explicitly programmed, and deep learning uses artificial neural networks inspired by the brain.
Introduction to Artificial Intelligence.pptx
My name is R. Sai Shankar. In here, I'm publish a small PowerPoint Presentation on Artificial Intelligence. Here is the link for my YouTube Channel "Learn AI With Shankar". Please Like Share Subscribe. Thank you.
https://youtu.be/3N5C99sb-gc
Artificial Intelligence explained simplistically
The training content covers:
- Basics of Artificial Intelligence
- Penetration of AI in our daily lives
- Few examples and Use cases
- A brief on how future with AI looks like
Will artificial intelligence replace programmers
Artificial intelligence can compose songs, paint pictures, help in cancer therapy, drive cars and play games. It’s also starting to write code.
Does it mean that the days of human programmers are already numbered? Will software engineering be automated?
What is Artificial Intelligence and its use.pptx
This PPT is all about Artificial Intelligence.
To know more, click here:
https://365jankari.com/index.php/2024/02/16/artificial-intelligence/
Sketch book AI & the future of work
We created a sketch book with AI to illustrate what you can do with AI. It is an souvenir for the start of a brand new era in IT.
Artificial Intelligence
This document provides an overview of the history and development of artificial intelligence (AI). It discusses early pioneers like Alan Turing and his proposal of the Turing Test. Key developments include the first AI programs for games in the 1950s, the Dartmouth Conference in 1956 which defined the field, and John McCarthy's creation of the Lisp programming language. The document outlines a variety of applications of AI throughout its history from gaming to robotics to military uses. It concludes by discussing predictions for the future role of AI and its potential to solve major problems and change the world.
What Is The Next Level Of AI Technology?
Artificial Intelligence (AI) has permeated all aspects of our lives – from the way we communicate to how we work, shop, play, and do business – AI tools are everywhere we look.
What is Artificial Intelligence?
Artificial intelligence is the simulation of human intelligence by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition, and machine vision. The document discusses three types of AI: artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. It also outlines several advantages of AI such as low error rates, precision, and ability to complete dangerous tasks. The document explores fields where AI is used like machine translation, facial recognition, virtual assistants, and self-driving cars.
Don’t Make A Human Do A Robot’s Job! : 6 Reasons Why AI Will Save Us & Not De...
This is a presentation made by Dotsavvy's Founder & CEO Moses Kemibaro at the 2023 edition of the Marketers Conference on Friday the 1st December 2023.
The presentation focussed on the following reasons why Artificial Intelligence or AI is essential in the future of work, as follows:
1/ Speed of Execution
Generative AI drastically reduces the time needed to complete tasks. It allows us to accomplish more in less time, redefining productivity and making time an even more valuable resource.
2/ Quality of Outputs
Generative AI has led to a noticeable improvement in the quality of work. Whether working individually or collaboratively, the output is often superior to traditional methods.
3/ Increased Productivity
The sheer volume of work achievable with generative AI is astonishing. It empowers individuals and businesses to achieve what was previously impossible, amplifying productivity.
4/ Reduced Costs
By incorporating generative AI, businesses and individuals can reduce operating costs. This cost-effectiveness leads to optimized profits and resource allocation.
5/ Improved Revenues
Generative AI can create new revenue streams and increased productivity. Understanding and leveraging AI tools like ChatGPT makes this possible scale.
6/ Easier Work
Generative AI has made complex and challenging tasks much easier. This opens up new possibilities, allowing people to engage in activities or produce outputs that were once out of reach.
Similar to 9 facts about artificial intelligence (20)
Artificial Intelligence can Offer People Great Relief from Performing Mundane...
Artificial Intelligence can Offer People Great Relief from Performing Mundane...
AI & Innovation, Emerging trends & Future directions in AI.pptx
AI & Innovation, Emerging trends & Future directions in AI.pptx
Author Francesca Rossi EN Policy Department C Citizens.docx
Author Francesca Rossi EN Policy Department C Citizens.docx
A Dawn of Generative AI – Cuneiform Consulting.pdf
A Dawn of Generative AI – Cuneiform Consulting.pdf
Don’t Make A Human Do A Robot’s Job! : 6 Reasons Why AI Will Save Us & Not De...
Don’t Make A Human Do A Robot’s Job! : 6 Reasons Why AI Will Save Us & Not De...
Recently uploaded
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
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.
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
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.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Microsoft - Power Platform_G.Aspiotis.pdf
Revolutionizing Application Development
with AI-powered low-code, presentation by George Aspiotis, Sr. Partner Development Manager, Microsoft
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
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!
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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
Building Production Ready Search Pipelines with Spark and Milvus
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
20240605 QFM017 Machine Intelligence Reading List May 2024
Everything I found interesting about machines behaving intelligently during May 2024
Uni Systems Copilot event_05062024_C.Vlachos.pdf
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Recently uploaded (20)
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
GraphSummit Singapore | Enhancing Changi Airport Group's Passenger Experience...
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
9 facts about artificial intelligence
- 1. 9 facts about Artificial Intelligence
- 2. The AI market will be worth a lot A PwC report estimates that AI will contribute $15.7 trillion to the global economy by 2030.
- 3. AI is more than just machine learning GPU chipmaker NVIDIA Corp. defines machine learning as "the practice of using algorithms to parse data, learn from it, and then make a determination or prediction about something in the world."
- 4. The driverless car market is being driven by AI NVIDIA created its own computer -- the Drive PX Pegasus -- powered by the company's AI and GPUs, specifically for driverless cars.
- 5. AI is already making the connected home better Amazon's AI personal assistant, Alexa, holds 70% of the smart speaker market right now and could add $10 billion the company's top line by 2020.
- 6. Products you buy are being suggested to you by AI Amazon CEO Jeff Bezos told investors last year that AI is being used to recommend products to customers, determine which deals to offer and when, and influences many aspects of the business.
- 7. The AI processor battle has started Alphabet has created its own AI processor, called the Tensor Processing Unit (TPU), specifically designed to make its advertising, search, Gmail, Google Photos, and other services smarter.
- 8. Tech leaders are worried about AI Tesla CEO Elon Musk has warned on multiple occasions that AI could eventually be dangerous to people. He recommends some regulation around the technology.
- 9. Stephen Hawking thinks AI will make jobs disappear Hawking is one of many deep thinkers who believe AI systems will eliminate many jobs, and not create enough to replace them.
- 10. Humans are smarter than any type of AI Some researchers expect AI systems to be only one-tenth as smart as a human by 2035. But by 2060 AI could start performing nearly all the tasks humans do -- and doing them much better.