We all know AI is coming in… Helping us with Netflix recommendations and our Spotify playlists, all the stuff that makes our lives a little easier. You know, Google Maps that finds the quickest route to our destination whilst avoiding traffic. And those voice assistants we have at home to find out what the weather is like. It’s starting to sound like the beginning of robots taking over, something like Arnold Schwarzenegger in the Terminator… is it really going to end up that way? 🧑🏻‍🏫 Head over to our website to find out more information about us – https://www.aveea.org/ Aveea Videos: 🖥 Computer Science – https://youtu.be/XEWwOUvzWJ0 📊 Mathematics – https://youtu.be/bLr28qvUv8M ⏰ TIMINGS 00:00 – What is AI & Robotics? 00:46 – The Difference 1:46 – What is Pure AI? 2:40 – What do we use AI for? 2:45 – The Curiosity Rover 4:07 – Usefulness of AI 4:33 – Conclusion Other links that we thought were pretty cool, a little more insight into the world of AI & Robotics!! 🤖 Curiosity Rover – https://www.youtube.com/watch?v=liypQHa_dr8 💻 Google Duplex -https://www.youtube.com/watch?v=USXoINPEhoA 🧑🏻‍🏫 Who are we: We are Aveea, we are all about STEM – Science, Technology, Engineering or Mathematics… but you knew this already. This means making incredible YouTube Videos (all made in house by our fantastic team in London) to show you keen, curious learners what a world of STEM could look like. And we go all the way, we head to schools around the country inspiring our future leaders’ with hands-on [More]
hello everyone this is the first video in learning the concepts of artificial intelligence / artificial intelligence in hindi. This video in an introductory video in the series of artificial intelligence / artificial intelligence in hindi. In this video of artificial intelligence / artificial intelligence in hindi you all are going to learn the following things first what is artificial intelligence / what is artificial intelligence in hindi then after that we discussed the various goals of artificial intelligence / artificial intelligence in hindi and then we discussed the third important thing which is what contributes to ai. At last we discussed what is artificial intelligence in computer science. OBJECTIVE OF THIS VIDEO : 1- what is artificial intelligence / what is artificial intelligence in hindi 2- goals of artificial intelligence / goals of artificial intelligence in hindi 3- what contributes to ai 4- difference between programming with and without ai 5- what is artificial intelligence in computer science ________________________________________________________________________________________ ARTIFICIAL INTELLIGENCE ——- what is artificial intelligence / what is artificial intelligence in hindi ? According to the father of Artificial Intelligence John McCarthy, it is “The science and engineering of making intelligent machines, especially intelligent computer programs”. Artificial Intelligence is a way of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think. AI is accomplished by studying how human brain thinks, and how humans learn, decide, and work while trying to solve a problem, and then using the outcomes [More]
AI has the potential to add $16 trillion global economy by 2030, but adoption has been slow. While we understand the power of AI, many of us aren’t sure how to fully unleash its potential. Join Robert Thomas and Tim O’Reilly to learn that the reality is AI isn’t magic. It’s hard work. There’s no wand to be waved at enterprise inefficiencies, and having the technology alone is not enough. AI breakthroughs will come with mass experimentation, and while many of those experiments will fail, the successful ones will have substantial impact. AI can help you, your business, your employees, and your customers, but you need a prescriptive approach to harness its power and put AI to work. Subscribe to O’Reilly on YouTube: http://goo.gl/n3QSYi Follow O’Reilly on: Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Instagram: https://www.instagram.com/oreillymedia LinkedIn: https://www.linkedin.com/company-beta/8459/
There are many myths about AI: that you need to hire elusive Stanford PhDs, that you need big data and millions of dollars worth of computers, and that only a select few can actually use AI. These are all false. In this talk, I will share how AI is being effectively used by people across a range of domains, with a much lower barrier to entry than you might expect. In fact, domain expertise is still incredibly valuable, and those with deep knowledge of your domain are best positioned to apply AI. Rachel Thomas is a professor at the University of San Francisco Data Institute and co-founder of fast.ai, which created the “Practical Deep Learning for Coders” course that over 200,000 students have taken and which has been featured in The Economist, MIT Tech Review, and Forbes. She was selected by Forbes as one of 20 Incredible Women in AI, earned her math PhD at Duke, and was an early engineer at Uber. Rachel is a popular writer and keynote speaker. Looking for more? Check out EGG ON AIR! https://bit.ly/37GhXMY CHECK OUT DATAIKU: https://bit.ly/36XBlpK BRIGHTTALK WEBINARS: https://bit.ly/33TIRjn DATA SCIENCE PIONEERS DOCUMENTARY: https://bit.ly/36V3rBF PARTNER ECOSYSTEM: https://bit.ly/3oCbk5k DATAIKU ACADEMY: https://bit.ly/2LjsEgZ DATAIKU COMMUNITY: https://bit.ly/2K8lOtV DATA SCIENCE AND ANALYTICS MEETUPS: https://bit.ly/3n0ar5R BANANA DATA PODCAST: https://bit.ly/36UFgDs Linkedin: https://bit.ly/3lXyRMb Twitter: @dataiku Instagram: @dataiku Turn on our channel notifications for the latest data science and AI updates!
Today’s AI algorithms require tens of thousands of expensive medical images to detect a patient’s disease. What if we could drastically reduce the amount of data needed to train an AI, making diagnoses low-cost and more effective? TED Fellow Pratik Shah is working on a clever system to do just that. Using an unorthodox AI approach, Shah has developed a technology that requires as few as 50 images to develop a working algorithm — and can even use photos taken on doctors’ cell phones to provide a diagnosis. Learn more about how this new way to analyze medical information could lead to earlier detection of life-threatening illnesses and bring AI-assisted diagnosis to more health care settings worldwide. Check out more TED Talks: http://www.ted.com The TED Talks channel features the best talks and performances from the TED Conference, where the world’s leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design — plus science, business, global issues, the arts and more. Follow TED on Twitter: http://www.twitter.com/TEDTalks Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: https://www.youtube.com/TED
In this episode of Machine Learning Street Talk, Tim Scarfe, Connor Shorten and Yannic Kilcher react to Yoshua Bengio’s ICLR 2020 Keynote “Deep Learning Priors Associated with Conscious Processing”. Bengio takes on many future directions for research in Deep Learning such as the role of attention in consciousness, sparse factor graphs and causality, and the study of systematic generalization. Bengio also presents big ideas in Intelligence that border on the line of philosophy and practical machine learning. This includes ideas such as consciousness in machines and System 1 and System 2 thinking, as described in Daniel Kahneman’s book “Thinking Fast and Slow”. Similar to Yann LeCun’s half of the 2020 ICLR keynote, this talk takes on many challenging ideas and hopefully this video helps you get a better understanding of some of them! Thanks for watching! Please Subscribe for more videos! Paper Links: Link to Talk: https://iclr.cc/virtual_2020/speaker_7.html The Consciousness Prior: https://arxiv.org/abs/1709.08568 Thinking Fast and Slow: https://www.amazon.com/Thinking-Fast-Slow-Daniel-Kahneman/dp/0374533555 Systematic Generalization: https://arxiv.org/abs/1811.12889 CLOSURE: Assessing Systematic Generalization of CLEVR Models: https://arxiv.org/abs/1912.05783 Neural Module Networks: https://arxiv.org/abs/1511.02799 Experience Grounds Language: https://arxiv.org/pdf/2004.10151.pdf Benchmarking Graph Neural Networks: https://arxiv.org/pdf/2003.00982.pdf On the Measure of Intelligence: https://arxiv.org/abs/1911.01547 Please check out our individual channels as well! Machine Learning Dojo with Tim Scarfe: https://www.youtube.com/channel/UCXvHuBMbgJw67i5vrMBBobA Yannic Kilcher: https://www.youtube.com/channel/UCZHmQk67mSJgfCCTn7xBfe Henry AI Labs: https://www.youtube.com/channel/UCHB9VepY6kYvZjj0Bgxnpbw 00:00:00 Tim and Yannics takes 00:01:37 Intro to Bengio 00:03:13 System 2, language and Chomsky 00:05:58 Cristof Koch on conciousness 00:07:25 Francois Chollet on intelligence and consciousness 00:09:29 Meditation and Sam Harris on consciousness 00:11:35 Connor Intro 00:13:20 Show Main Intro 00:17:55 [More]
Elon Musk talks about why super intelligent AI might be the single biggest threat to the future of humanity.
If this isn’t what you want, please take action at: http://autonomousweapons.org Originally posted here: https://www.youtube.com/watch?v=9CO6M2HsoIA&t=
AI applications are ubiquitous – and so is their potential to exhibit unintended bias. Algorithmic and automation biases and algorithm aversion all plague the human-AI partnership, eroding trust between people and machines that learn. But can bias be eradicated from AI? AI systems learn to make decisions based on training data, which can include biased human decisions and reflect historical or social inequities, resulting in algorithmic bias. The situation is exacerbated when employees uncritically accept the decisions made by their artificial partners. Equally problematic is when workers categorically mistrust these decisions. Join our panel of industry and academic leaders, who will share their technological, legal, organizational and social expertise to answer the questions raised by emerging artificial intelligence capabilities. Moderator: Dr Fay Cobb Payton is a Professor of Information Systems & Technology at NC State’s Poole College of Management and a Program Director at the National Science Foundation in the Division of Computer and Network Systems Panelists: Timnit Gebru- Research scientist and the co-lead of the Ethical AI team at Google and the co-founder of Black in AI, a place for fostering collaborations to increase the presence of Black people in the field of Artificial Intelligence Brenda Leong- Senior Counsel and Director of Artificial Intelligence and Ethics at the Future of Privacy Forum Professor Mohammad Jarrahi- Associate Professor at UNC’s School of Information and Library Science focused on the intersection of technology and society Chris Wicher- Rethinc. Labs AI Research Fellow, former Director of AI Research at KPMG’s AI Center [More]
Welcome to SIBGRAPI 2021 – the 34th Conference on Graphics, Patterns and Images! See our full program at https://www.inf.ufrgs.br/sibgrapi2021/program.php#content . This year we have an entirely virtual event, occurring from Monday October 18th to Friday October 22nd, 2021 (a total of 5 days), in a week filled with exciting presentations in Image Processing, Computer Graphics, Pattern Recognition, and Computer Vision.
Algorithms risk magnifying human bias and error on an unprecedented scale. Rachel Statham explains how they work and why we have to ensure they don’t perpetuate historic forms of discrimination Read IPPR’s automation report: http://bit.ly/2XJ2idN
A short recap of the AI Symposium event on October 29th, 2019
Presentation at the 1st AiTech Symposium, held in Delft, The Netherlands, on September 26, 2019. Topic: The future of digitalization – Design trade-offs between Artificial Intelligence (AI) and Human-Centered Design (HCD) Presenter: Gerhard Fischer
Blaze takes his friends to the Robot Headquarters where they all turn into robots. With their robot strength, they save Axle City from trouble! #BlazeAndTheMonsterMachines #Blaze #Robots **ADVERTISEMENT** Subscribe for more Blaze and the Monster Machines: https://at.nick.com/BMMSubscribe Watch more Blaze and the Monster Machines: https://at.nick.com/BMMYouTube Watch Blaze and the Monster Machine full episodes FOR FREE on the Nick Jr. App. iTunes: https://at.nick.com/NickJrApp_iTunes Google: https://at.nick.com/NickJrAppGoogle Amazon: https://at.nick.com/NickJrAppAmazon You can also download premium apps featuring Blaze and the Monster Machines on iTunes, Google Play, and Amazon: iTunes: https://at.nick.com/MoreNickJrApps_iTunes Google Play: https://at.nick.com/MoreNickJrAppsGoogle Amazon: https://at.nick.com/MoreNickJrAppsAmazon
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#ad Vlad and Niki have fun playing with toy RC cars and robots. Parents, all toys from Sharper Image are available at Walmart and Walmart.com Road Rage Speed Bumpers Cars, Robot Combat, Glow Stunt Drone Please Subscribe!
Last year, a video of Ameca the robot’s facial expressions had the world fascinated (and terrified). But the creators of this humanoid say Ameca is the face of the future. Never miss a deal again! See CNET’s browser extension 👉 https://bit.ly/3lO7sOU Subscribe to CNET: https://www.youtube.com/user/CNETTV Like us on Facebook: https://www.facebook.com/cnet Follow us on Twitter: https://www.twitter.com/cnet Follow us on Instagram: http://bit.ly/2icCYYm Follow us on TikTok: https://vm.tiktok.com/ZMd2h6yac/
6 Predictions for the Most Disruptive Tech Trends Can You Walk on Water? (Non-Newtonian Fluid Pool Non-Newtonian Fluid Pool non newtonian fluid pool Ultra Ever dry Spray-on clothing spray on clothes liquipel top nano technology superhydrophobic nano technology new technology cool technology technology cool science https://www.youtube.com/channel/UCSccnq6y6mrOyRZj5h5wycQ
Chemical Industry is witnessing an era of technological disruptions. These disruptions give rise to new challenges and opportunities for companies. The pace of innovations upcoming in chemical industry operations has exceedingly increased over the last few years. Now there is increased attention on optimizing alternative technologies and employing sustainable energy sources. Chemical manufacturers are directing their strategic thinking for all significant business operations. They are keen to adopt a new mindset and strategic shift to benefit from growth in the emerging markets. Our team of experts identified disruptive technology trends for 2021 in the chemical sector after a systematic analysis. Refer to the link mentioned below to get a more in-depth insight: https://www.iebrain.com/wp-content/uploads/2021/01/Disruptive-Technology-Trends-in-Chemical-Sector.pdf
Banque du Liban Accelerate 2015 is Lebanon’s annual international startup conference, and officially the largest and most international startup conference in the Middle East and North Africa, with over 6,000 attendees in 11,000 sqm over 2 days, 2 stages, 2 hackathons, 2 startup competitions, 2 workshop spaces, featuring over 100 speakers, 100 startups, and 100 exhibitors from 51 different countries across 6 continents. Over 3,000 attended the Opening Ceremony alone! http://bdlaccelerate.com
video1924266864 ____________________________________ Geordie Rose | Quantum Computing: Artificial Intelligence Is Here https://www.youtube.com/watch?v=PqN_2jDVbOU&list=LL&index=34&t=7s ideacity Geordie Rose, Founder of D-Wave (recent clients are Google and NASA) believes that the power of quantum computing is that we can `exploit parallel universes’ to solve problems that we have no other means of confirming. Simply put, quantum computers can think exponentially faster and simultaneously such that as they mature they will out pace us. Listen to his talk now! _____________________________________ Geordie Rose Warns DEMONS Are Coming – Full Talk (Kindred A.I.) https://www.youtube.com/watch?v=U0y-k9PVW7E&list=LL&index=35&t=994s Red Flag Media Things are about to get real interesting. Like/Share/Subscribe. Follow me on Twitter: http://www.twitter.com/RedFlagMediaTV ________________________________ above were in their descriptions, so i just copied and pasted
What does it mean to be human? J. Wentzel van Huysteen, in his Gifford lectures, posed the question of whether or not we are “alone in the world?” With advances in artificial intelligence and increasing knowledge in the cognitive sciences, the lines that have traditionally defined human uniqueness are beginning to blur. What constitutes our humanity—that intrinsic notion that separates us from other animals and machines, the essence that demonstrates we are more than the sum of our biological existence—is becoming less and less clear. In a sense, we may be witnessing the collapse of Cartesian dualism, the idea of the human being having a spirit or soul that is separate from their physical body, or what philosopher Gibert Ryle has referred to the dogma of the “the ghost in the machine.” Is there more, however? Can religious notions of the soul, mind, and body navigate these new advances in science and technology and even provide meaning and value to them, or will religious notions become obsolete? Are there limits to what AI can achieve, and limits to how science can speak to our humanity? David Bentley Hart has said that “rational thought—understanding, intention, will, consciousness—is not a species of computation.” Is there a line that, no matter the advances in technology or the passing of evolutionary time, no computer or animal will ever cross? Is it our ability to transcend our biology, to somehow rise above the fetters of our bodily existence and instincts that truly makes us human? [More]