Dave Waters once said predicting the future isn’t magic, its artificial intelligence.When it comes to machine learning, you may have heard of it as a subset of AI, but there is more to it. Join our FREE masterclass: https://bit.ly/3wFnlfd What is Artificial Intelligence? Artificial intelligence (AI) is intelligence demonstrated by machines, as opposed to natural intelligence displayed by animals including humans. Leading AI textbooks define the field as the study of “intelligent agents”: any system that perceives its environment and takes actions that maximise its chance of achieving its goals.Some popular accounts use the term “artificial intelligence” to describe machines that mimic “cognitive” functions that humans associate with the human mind, such as “learning” and “problem solving”, however, this definition is rejected by major AI researchers. What is Machine Learning? Machine learning (ML) is the study of computer algorithms that can improve automatically through experience and by the use of data.It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks. The following discussion will interest you if you are looking forward to picking a career path between the two by deriving a thorough understanding on how [More]
Presentation by Dr. Michael Laakasuo, streamed during the Areiopagi magazine’s seminar “The Moral Psychology of Religious Group Formation” at the University of Helsinki, Faculty of Theology. Follow Areiopagi: https://www.areiopagi.fi/tilaa-artikkelit/ https://www.facebook.com/Areiopagi https://www.instagram.com/areiopagi/ https://twitter.com/areiopagi
In this video I explain the difference between AI and ML and how both can be used in business to solve real world problems. If you would like more information on this topic, please feel free to visit my website and sign up for content updates! I write articles every week on various different topics such as Big Data, Artificial Intelligence & Machine Learning. Visit the Artificial Intelligence & Machine Learning topic page: https://bernardmarr.com/default.asp?contentID=1314 Thanks for watching!
It’s easy to get robotic process automation (RPA), machine learning (ML), and artificial intelligence (AI) mixed up—especially when people use them interchangeably. It can be confusing to differentiate between the three when they’re flying around in conversation, but they’re not as mystical as they seem: You use them every day when you ask Alexa to set a timer, listen to your recommended songs on Spotify, or break down and order those footie pajamas that Amazon has been recommending you to buy for the last two weeks (just me, or…?). Continue reading→ https://www.knowledgelake.com/blog/whats-the-difference-between-rpa-ml-ai/
Difference between face detection and facial recognition Technology in Hindi !! face detection !! my new website https://yfmshoppingguide.com In our industry, the terms face detection and face recognition are sometimes used interchangeably. But there are actually some key differences. To help clear things up, let’s take a look at the term face detection and how it differs from the term face recognition. WHAT IS FACE DETECTION? The definition of face detection refers to computer technology that is able to identify the presence of people’s faces within digital images. In order to work, face detection applications use machine learning and formulas known as algorithms to detecting human faces within larger images. These larger images might contain numerous objects that aren’t faces such as landscapes, buildings and other parts of humans (e.g. legs, shoulders and arms). Face detection is a broader term than face recognition. Face detection just means that a system is able to identify that there is a human face present in an image or video. Face detection has several applications, only one of which is facial recognition. Face detection can also be used to auto focus cameras. And it can be used to count how many people have entered a particular area. It can even be used for marketing purposes. For example, advertisements can be displayed the moment a face is recognized. HOW FACE DETECTION WORKS While the process is somewhat complex, face detection algorithms often begin by searching for human eyes. Eyes constitute what is known as a valley [More]
Fei-Fei Li is professor of computer science and co-director of the Stanford University Human-Centered AI Institute (HAI). A pioneering expert in AI, inventor of ImageNet, and thought leader, Dr. Li challenges us to be the stewards of technology to serve humanity at its broadest and most diverse extent. Dr. Li has also been recognized as a 2016 Global Thinker by Foreign Policy and formerly served as the vice president of AI and machine learning at Google Cloud. In this session, Dr. Li will discuss the transformative potential that AI and machine learning pose for society from her unique perspective as a scientist and an ethical leader who advocates for future technologies to incorporate an understanding of how to augment, not replace, elements of the human experience. Support contributed by: Elsevier
What are the differences between Human intelligence and artificial intelligence by PolartaraWorks ……………………………………………………………………………… Namaskar, I hope you are doing well and happily enjoying your precious time with your family and folks. Here I am presenting a video on differences between Human intelligence and artificial intelligence. I hope you will love it. In this video, I am explaining about; 1. Human intelligence and Artificial intelligence 2. Top 5 differences between AI & HI With this we’ll cover other aspects too. If you think I am doing well, please join the POLARTARA WORKS team by SUBSCRIBING the channel. ……………………………………………………………………………… TIME-STAMPS 00:00 Introduction 00:40 AI Vs Humans 01:31 Difference number 5 01:52 Difference number 4 02:03 Difference number 3 02:32 Difference number 2 02:54 Difference number 1 ……………………………………………………………………………… MY GEARS My DSLR: https://amzn.to/3lVqWme Mike: https://amzn.to/3CLW90X ……………………………………………………………………………… ABOUT THE CHANNEL Our channel is about Science and Technology. We cover lots of cool stuff about technology, and how technology can improve our lives. Check out the channel here: https://www.youtube.com/channel/UCaj4… Don’t forget to subscribe!! ……………………………………………………………………………… CHECK OUT OUR LAST THREE VIDEOS I have also uploaded awesome videos on the channel. Don’t forget to show some love by sharing it with your folks and family; 19. What is the best IOT development platform in the world? https://youtu.be/qGjNN_qJDG0 18. How to change YouTube video audio after upload https://youtu.be/O94mI-Yh_FU 17. What is pegasus in Hindi https://youtu.be/CQ7XL1wcMrQ OR Checkout the Playlists as per your interest. ……………………………………………………………………………… PolartaraWorks, Works, Working, Concept, Technical, technology, Interesting videos. ……………………………………………………………………………… FIND US AT https://framingstars.in/ ……………………………………………………………………………… [More]
Can you tell the difference between AI and a human?, with Michael Wooldridge Subscribe to Big Think on YouTube ►► https://www.youtube.com/c/bigthink/videos Up next ►► Walter Isaacson on Alan Turing, Intelligent Machines and “The Imitation Game” https://youtu.be/rz_99PBycSo The limits to computing are the limits to your imagination. Yet when computers first made their debut, the general public was taken back by its capabilities when it came to mathematics and computing. People started to ask ‘Are machines really intelligent?” Fed up with this question and disbelief in computing, one of the first serious thinkers of AI, Alan Turing, decided to create a machine to get the public to stop asking if computers are intelligent or not. This was called the Turing test. While using this machine during a Turing test, a person would type out a question on a computer, and either a human or machine would answer back. If a machine could fool the user into thinking there was a human on the other side of the screen, Turing wanted those users to accept that the machine was doing something intelligent. Although now there are Turing test competitions worldwide, Alan Turing never expected anyone to actually take this test or use this technology. Read the video transcript: https://bigthink.com/videos/turing-test/ ———————————————————————————- About Michael Wooldridge: Michael Wooldridge is a professor of Computer Science and Head of the Department of Computer Science at the University of Oxford. Since earning his Ph.D. in AI, he has published more than 350 scientific articles on the subject. Mike [More]
Jan S. Hesthaven is Professor of mathematics and Chair of Computational Mathematics and Simulation Science at EPFL. Furthermore, he is the dean of the School of Basic Sciences at EPFL.
Technology is growing with each day and its growing speed is something we have never seen before. We didn’t know what smartphones were two decades ago but now, they’ve become almost a part of our bodies. A big majority of people have become daily users of social media platforms and similar sites which have been around for decades. Technology’s impact on our daily lives has been quick and powerful, but how do you think its impact on our professional lives will be? Engineers’ professional lives always involve technology, and the latest developments in the artificial intelligence area can change the engineering concepts radically. Robotics and engineering go hand in hand, and the future of AI has the potential to make human life easier and safer than ever before. According to Elon Musk, Tesla’s Autopilot feature can help in reducing highway accidents thanks to its intelligent engineering. Also, founders and CEOs of big technology corporations such as Bill Gates, Sundar Pichai, and Tim Cook have also stated the importance and potential of artificial intelligence for humankind. Artificial intelligence can help us find new solutions to our engineering problems and make our tasks easier to tackle. Technological developments have been quick and efficient for the past decades and it seems that this snowball effect has not reached its full potential yet. Artificial intelligence holds great opportunities for tomorrow’s engineers, and if you want to learn more about the subject, be sure to watch our video! Find out more information at https://bit.ly/3bSTzei #engineering
Elon Musk: Computers are much smarter than humans on so many dimensions. Jack Ma: Computers may be clever, but human beings are much smarter. We invented the computer—I’ve never seen a computer invent a human being. TICTOC ON SOCIAL: Follow TicToc on Twitter: https://twitter.com/tictoc Like TicToc on Facebook: https://www.facebook.com/tictoc Follow TicToc on Instagram: https://www.instagram.com/tictoc Watch all of TicToc’s videos: https://www.tictoc.video/ Listen to TicToc’s podcast: https://apple.co/2D3Vta7 Subscribe to our newsletter: https://bit.ly/2FJ0oQZ TicToc by Bloomberg is global news for the life you lead. We are a 24/7 news network that covers breaking news, politics, technology, business and entertainment stories from around the globe, supported by a network of Bloomberg’s 2,700 journalists across 120 countries.
artificial vs human intelligence|difference between artificial intelligence and human intelligence
This is a short excerpt from my recent virtual keynote for LinkedIn Latam June 22, 2020, see https://www.youtube.com/watch?v=dB5vOk_-KEg and https://gerd.io/linkedinlatam (my blog) for more details and downloads Gerd Leonhard Futurist, Author and Keynote Speaker Zürich / Switzerland http://www.futuristgerd.com http://www.techvshuman.com (my latest book) Audio-only versions of most videos are available via SoundCloud https://soundcloud.com/gleonhard/tracks, and Spotify see https://gerd.fm/spotify Many of my films, keynotes. presentations and slideshows can be downloaded via http://www.gerd.cloud My key memes and messages can be browsed here: https://www.futuristgerd.com/media/what-gerd-says/ For booking inquiries please go here https://www.futuristgerd.com/contact/booking-inquiry/ If you enjoy my videos and talks, please take a look at my recent book “Technology vs Humanity” http://www.techvshuman.com or buy it via Amazon http://gerd.fm/globalTVHamazon – the book is available in 12 languages. Twitter: @gleonhard
With all of the recent development in AI, a lot of people are wondering if they will be eventually replaced by computers. How realistic is such a scenario? As we discuss in our article, there are some areas where machines are competitive, but humans simply cannot be replaced. Find out more in the article: https://skywell.software/blog/artificial-intelligence-vs-human-intelligence/ #AI #artificialintelligence #AIvsHuman
Connect two Macs wirelessly with an ad-hoc network. Follow this video to set up and connect the peer-to-peer network, and when you’re done, see how to disconnect the network. The beauty of ad-hoc networking is that it’s temporary.
Nowadays, the development of AI is so rapid that AI has been one of the hottest topics. Today, Li Dongxiao, a student from Qingdao NO.2 Senior High School, who has some unique viewpoints about the future of AI and the relationship between humans and AI, intends to share them with us. Dongxiao is a student at Qingdao No. 2 High School. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
Prof Dr Prof h.c. Andreas Dengel (Scientific Director of the Smart Data & Knowledge Services Research Department, DFKI) is interviewed by Dr Nabil Alsabah (Head of Artificial Intelligence, Bitkom) about “AI: The Blurring Line Between Reality and Science Fiction” at hub.berlin on April 10th 2019. hub.berlin is one of the most important technology and business festivals for digital movers and makers in Europe. More than 8,000 digital experts experience the future of digitisation today. Managers, founders, politicians and scientists come together to shape the digital transformation. Discover more at www.hub.berlin. www.bitkom.org www.dfki.de/web #hubberlin #interview #bas19
There’s a discussion going on about the topic we are covering today: what’s the difference between AI and machine learning and deep learning. (Get our free list of the worlds best AI newsletters right here 👉 https://hubs.ly/H0dL3qz0) Very frequently, press coverage and even practitioners of analytics use the terms Artificial Intelligence and Machine Learning interchangeably. Disregarding the difference between AI and machine learning and deep learning. However, these three concepts do not represent the same. In this video, we are going to break this down for you, giving you examples of use cases making the difference between ai and machine learning and deep learning more clear. Any device that perceives its environment and takes actions to maximize its chances of success, can be said to have some kind of artificial intelligence, more frequently referred to as A.I. More specifically, when a machine has “cognitive” capabilities, such as problem solving and learning by example it is usually associated with A.I. Artificial Intelligence has three different levels: Narrow AI: when a computer can perform one task much better than a human; this is where we stand nowadays. 2. General AI: when a machine can successfully perform any given intellectual task that a human being can too 3. Strong AI: when machines can beat humans in many of tasks. Machine Learning is a subset of AI. This is what most applications of AI in business rely on currently. Want to know more about how businesses are applying AI? Watch this video, in which [More]
In this video I will explain what the main differences are between the current approaches to artificial intelligence and human intelligence. For this I first explain how neural networks work and in which sense they mimic the human brain. I then go through the ten most relevant differences that are: Form and function, size, connectivity, power consumption, architecture, activation potential, speed, learning technique, structure, and precision. Finally I express my opinion that the benefit of research in artificial intelligence is not the reproduce human-like intelligence, but instead to produce types of intelligence unlike our own that complement our own abilities.
While Artificial Intelligence has been around for decades we are witnessing a new generation of solutions. Augmented intelligence represents the most significant commercialization of AI/ML for business. Augmented intelligence is an approach that uses tools from artificial intelligence to perform well-defined tasks that support business decision- making. In this webinar, Judith Hurwitz, president of Hurwitz & Associates and the co-author of the forthcoming book, Augmented Intelligence will discuss the importance of augmented intelligence as the technique to provide for collaboration between humans and machines. The webinar will explain: What augmented intelligence is and how it can benefit business decision makers What do business leaders need to understand about AI and machine learning to avoid traps What are the risks in terms of ethics, compliance, and governance Judith Hurwitz, President & CEO, Hurwitz & Associates, a research and consulting firm focused on the business value of emerging technologies Judith S. Hurwitz, President and CEO of Hurwitz & Associates, Inc., a firm focused on emerging technology in enterprise computing including Artificial Intelligence, machine learning, big data, cloud computing, and security. She is a technology strategist, thought leader, speaker, and author. A pioneer in anticipating technology innovation and adoption, she has served as a trusted advisor to many industry leaders over the years. She is the co-author of 10 books including Augmented Intelligence (Taylor & Francis Group, 2019), Cognitive Computing and Big Data Analytics (Wiley, 2015), and Cloud Computing for Dummies (Wiley, 2020). Judith holds a BS and MS degrees from Boston University. [More]
While Artificial Intelligence has been around for decades we are witnessing a new generation of solutions. Augmented intelligence represents the most significant commercialization of AI/ML for business. Augmented intelligence is an approach that uses tools from artificial intelligence to perform well-defined tasks that support business decision- making. In this webinar, Judith Hurwitz, president of Hurwitz & Associates and the co-author of the forthcoming book, Augmented Intelligence will discuss the importance of augmented intelligence as the technique to provide for collaboration between humans and machines. The webinar will explain: What augmented intelligence is and how it can benefit business decision makers What do business leaders need to understand about AI and machine learning to avoid traps What are the risks in terms of ethics, compliance, and governance Judith Hurwitz, President & CEO, Hurwitz & Associates, a research and consulting firm focused on the business value of emerging technologies Judith S. Hurwitz, President and CEO of Hurwitz & Associates, Inc., a firm focused on emerging technology in enterprise computing including Artificial Intelligence, machine learning, big data, cloud computing, and security. She is a technology strategist, thought leader, speaker, and author. A pioneer in anticipating technology innovation and adoption, she has served as a trusted advisor to many industry leaders over the years. She is the co-author of 10 books including Augmented Intelligence (Taylor & Francis Group, 2019), Cognitive Computing and Big Data Analytics (Wiley, 2015), and Cloud Computing for Dummies (Wiley, 2020). Judith holds a BS and MS degrees from Boston University. [More]