SASTRA Day 1, Session 01 ATAL AICTE FDP on AI,ML u0026DL 2020 09 13 at 20 51 GMT 7 Workshop topics – Introduction to Artificial Intelligence – Introduction to Python – Introduction to Internet of Things(IoT) – Problem Formulations & Representations – Uninformed and Informed Search Algorithms – Knowledge Representation and different types of Knowledge Representation – Ontology Engineering – Fuzzy and Temporal Logic Systems – Natural Language Processing – Machine Learning and Deep Learning – Reinforcement Learning – Application and current trends of AI – Sample Problems – Case Studies & hands-on Coding using Python for the above topics Full playlist:
Part II of Session 4 of CMPS 403 Artificial Intelligence, Fall 2020 course at Qatar University by Dr. Tamer Elsayed ( Slides are available at: The entire set of lectures are available at: This course is mostly following Berkeley’s “CS188” course.
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Session Chair: Federica Sarro Perf-AL: Performance Prediction for Configurable Software through Adversarial Learning – (Technical Paper) Yangyang Shu, Yulei Sui, Hongyu Zhang and Guandong Xu Presenter: Yangyang Shu Learning Features that Predict Developer Responses for iOS App Store Reviews – (Technical Paper) Kamonphop Srisopha, Daniel Link, Devendra Swami and Barry Boehm Presenter: Kamonphop Srisopha Automatic Identification of Code Smell Discussions on Stack Overflow: A Preliminary Investigation – (Emerging Result and Vision Paper) Sergei Shcherban, Peng Liang, Amjed Tahir and Xueying Li Presenter: Peng Liang GASSER: Genetic Algorithm for teSt Suite Reduction – (Emerging Result and Vision Paper) Carmen Coviello, Simone Romano, Giuseppe Scanniello and Giuliano Antoniol Presenter: Carmen Coviello
📌 Session #4 – SSD: Single Shot MultiBox Detector 📌 Paper Reading & Discussion About: MLT __init__ is a monthly event led by Jayson Cunanan and J. Miguel Valverde where a paper is first presented by a volunteer and then discussed among all attendees. Our goal is to give participants good initializations to study Deep Learning effectively. We also hope to promote collaboration between participants. We will try to achieve this by: * Discussing fundamental papers whose key ideas apply to state-of-the-art models. * Providing the audience with summaries, codes, and visualizations to help understand the critical parts of a research paper. 📌 SPEAKER BIO Charles Melby-Thompson is an AI Researcher at AI Inside. He obtained a Ph.D. in Physics from UC Berkeley, MSc Mathematics and Comp. Science from the University of Oxford and A.B. Physics from Princeton University. He has multiple research experiences from several countries including Japan. Related links: 📌ORGANIZERS’ BIO * J. Miguel Valverde is a Ph.D. student at the University of Eastern Finland working on Rodent MRI Segmentation with Deep Learning. He has multiple research experiences across Europe and Japan. In his free time, he enjoys nature, learning languages, programming, and making food. * Jayson Cunanan is an AI Researcher/Engineer at AI inside. He obtained a Ph.D. in Mathematics at Nagoya University and was awarded the JSPS Postdoctoral Fellowship 2018. In his free time, he loves playing the guitar. ========================= MLT (Machine Learning Tokyo) site: github: slack: discuss: [More]
Just wait til 1:15… David tries to imitate his human family by pretending to eat and drink, but see what happens after that..
Fei-Fei Li, director of Stanford Artificial Intelligence Laboratory, and Lei Zhang, chairman and CIO of Hillhouse Capital Management, discuss with Paul Oyer, an economics professor at the Graduate School of Business, the current research and development in the field of artificial intelligence, as well as future implementations into daily life, at the Stanford China Economic Forum in Beijing, on September 8, 2018.
Talk given on 2021/06/20. Andrej is the Senior Director of AI at Tesla, where he leads the team responsible for all neural networks on the Autopilot. Previously, Andrej was a Research Scientist at OpenAI working onDeep Learning in Computer Vision, Generative Modeling and Reinforcement Learning. Andrej received his PhD from Stanford, where he worked with Fei-Fei Li on Convolutional/Recurrent Neural Network architectures and their applications in Computer Vision, Natural Language Processing and their intersection. Over the course of his PhD, Andrej squeezed in two internships at Google where he worked on large-scale feature learning over YouTube videos, and in 2015 he interned at DeepMind and worked on Deep Reinforcement Learning. Together with Fei-Fei, Andrej designed and taught a new Stanford class on Convolutional Neural Networks for Visual Recognition (CS231n). The class was the first Deep Learning course offering at Stanford and has grown from 150 enrolled in 2015 to 330 students in 2016, and 750 students in 2017.
✅ Instagram: You are on the PRO Robotics channel and in this episode we will talk about what science has already achieved in the field of artificial intelligence and what we can expect in the future. Conscious and super-intelligent AI, variants of artificial intelligence development, whether the singularity is possible and why Elon Musk is afraid of artificial intelligence and creates his own chip in the brain. Watch the video to the end and write in the comments what you think about the future of artificial intelligence? Time Codes: 00:00 Intro 00:38 Artificial intelligence today 1:10 Machine learning and deep learning 1:43 Narrow artificial intelligence 3:14 Conscious artificial intelligence 4:22 Supersmartt artificial intelligence 5:11 Why is Elon Musk afraid of artificial intelligence 6:11 Can robots have desires 7:09 Why do we need a chip in Elon Musk’s brain 8:24 Will we become cyborgs 9:02 The future with artificial intelligence #prorobots #artificialintelligence #supersmartt #elonmusk #technology #technologynews #sciencenews More interesting and useful content: ✅ Elon Musk Innovation ✅Future Technologies Reviews ✅ Technology news #prorobots #technology #roboticsnews PRO Robots is not just a channel about robots and future technologies, we are interested in science, technology, new technologies and robotics in all its manifestations, science news, technology news today, science and technology news 2020, so that in the future it will be possible to expand future release topics. Today, our vlog just talks about complex things, follows the tech news, makes reviews of exhibitions, conferences and events, where the main [More]
Artificial intelligence is changing how we interact with everything: food, healthcare, travel – and also religion. Experts say major global faiths are discussing their relationship with AI, and some are starting to incorporate this technology into their worship. Robot priests can recite prayers, perform funerals, and even comfort those experiencing a spiritual crisis. Is it just a gimmick, or will it transform how people experience faith? Please subscribe HERE #BBCNews
Elon Musk Says AI Will Take Over in 5 Years – How Neuralink Will Change Humanity Musk has consistently warned us of the existential threat posed by advanced artificial intelligence in recent years. Despite this, he still feels that the issue is not properly understood.  Many widely regarded scientist, like Steven Hawking, Steve Wozniak and Bill Gates, have already expressed their concerns that super-intelligent AI could escape our control and move against us. Musk lays out a number of possible scenarios for us to survive the rise of AI, if at all. One of them is his neuroscience start-up, Neuralink. The company aims to implant wireless brain-computer interfaces that will link human brains directly to computers. For Musk, brain computer interfaces are the only way the human race will survive the dangers of AI. ⏱️ TIMESTAMPS 00:00 – Intro 01:28 – Why AI is Dangerous 06:30 – The Singularity and Self-Designed Evolution 08:25 – Neuralink 10:35 – Concerns About AI Companies – DeepMind ►► Tech Flake explores the big questions with an open mind. Subscribe for more: ►►
As a research scientist at Google, Margaret Mitchell helps develop computers that can communicate about what they see and understand. She tells a cautionary tale about the gaps, blind spots and biases we subconsciously encode into AI — and asks us to consider what the technology we create today will mean for tomorrow. “All that we see now is a snapshot in the evolution of artificial intelligence,” Mitchell says. “If we want AI to evolve in a way that helps humans, then we need to define the goals and strategies that enable that path now.” Check out more TED Talks: 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: Like TED on Facebook: Subscribe to our channel:
Want to join the debate? Check out the Intelligence Squared website to hear about future live events and podcasts: __________________________ ** PLEASE NOTE: This video is owned by the BBC and as such is unavailable in some countries. We apologise for any inconvenience this may cause. However, the event is available as an episode of our podcast here: ** Filmed at the Emmanuel Centre in London on 2nd March 2015. They are coming to an office near you: job-gobbling robots that can do your work better and more cheaply than you can. One in three jobs could be taken over by a computer or a robot in the next 20 years. Most at risk are less skilled workers such as machine operators, postmen, care workers and professional drivers. The CEO of Uber, the ride-sharing company, recently said that his goal is to replace all the firm’s drivers with autonomous cars. But it’s not just blue-collar workers who are under threat. The relentless drive to replace expensive humans with artificial intelligence poses a threat to better paid jobs too. People whose work requires uniquely human skills, such as teachers, priests, and social workers, are likely to be safe. But already in law firms, junior lawyers are being replaced by software that can scan reams of documents in search of evidence; and in hospitals the role of pharmacists is being taken over by drug-dispensing robots. What’s worse, the people gaining from all this disruption are those already rich enough to [More]
Martin Ford There’s Going To Be Less Need For Human Workers (Techno Talk) Rise of the Robots: Technology and the Threat of a Jobless Future is a 2015 book by American futurist Martin Ford. Rise discusses the impact accelerating change and artificial intelligence will have on the labor market. His thesis is that there will be great social and economic disruption, as educated workers will no longer be able to find employment; unlike in previous technological revolutions, very few new jobs will be created in the course of the ongoing disruption.[1] While technological advances in the previous century mainly displaced more uneducated laborers, the 21st century is seeing technology increasingly threatening skilled workers’ jobs as well. Lawyers, radiologists and software designers have seen their work outsourced to the developing world. Ford believes that unlike previous centuries, the current emerging technologies will fail to generate new forms of employment; he predicts that new industries will “rarely, if ever, be highly labor-intensive”. Companies like YouTube and Instagram are based on “tiny workforces and huge valuations and revenues”.[2] Ford downplays the benefits of expanding education (“The problem is that the skills ladder is not really a ladder at all: it is a pyramid, and there is only so much room at the top”), and argues for a “dramatic policy response” such as a guaranteed basic income.[3] Many economists disagree with Ford’s thesis that the IT revolution is fundamentally different from previous technological revolutions.[4] Libertarian economist Robin Hanson argues that the recent ominous labor [More]
Felix Zuniga, Manuel Franco and Curt Hahn will join Armando F Sanchez on a panel to discuss the principle ideas of Martin Ford’s book Rise of the Robots.
Booksmith & Berkeley Arts & Letters present a virtual event with Martin Ford for his new book Rule of the Robots: How Artificial Intelligence Will Transform Everything on September 16, 2021. Order copies of Rule of the Robots and have it shipped to your door: – ABOUT THE AUTHOR – Martin Ford is a futurist and the author of New York Times bestseller Rise of the Robots, a prescient look at AI and work. It won the Financial Times Business Book of the Year Award. His TED Talk on the impact of artificial intelligence on society has been viewed over 3 million times. – MORE FROM BOOKSMITH – 📅 Upcoming events: 📚 Order books to be delivered anywhere in the world: ✍️ Sign up for our weekly newsletter:
You better hold on, because Artificial Intelligence is about to take off, and social disruption is sure to follow. In this episode, Martin Ford joins Tom to help us discover how AI will impact you, your business, and how you can position yourself to benefit from its increasingly large role in day-to-day life. 00:00 – Intro 02:58 – How Will Robots Change Jobs? 04:24 – What Sectors Of The Economy Will Be Impacted By AI? 07:06 -How Does AI Work? 09:02 -What Opportunities Will AI Open For Businesses? 10:03 – How Well Will AI Predict Outcomes? 11:24 – What Are The Risks Of AI? 13:11 – What Jobs Are Most Compatible With AI? 16:23 – How Does Block Chain Incorporate AI? 17:52 – Can Robots Run A Business? 23:08 – How Could The IRS Use AI? Looking for more on Martin Ford? Website: Book: “Rule of the Robots: How Artificial Intelligence Will Transform Everything” Tom Wheelwright, #CPA is a Best-Selling Author, Entrepreneur & Worldwide Authority on Tax. ********************************** PODCAST: WealthAbility® For CPAs ********************************** Listen & Subscribe on iTunes, Stitcher & Spotify! YouTube Playlist ********************************** Resources ********************************** Tom’s Book: Tax-Free Wealth Visit WealthAbility® Sign up for Tom’s Free Weekly Report Schedule A Call With My Team Social Media *********************************** Facebook (Tom Wheelwright) Facebook (WealthAbility®) Facebook(Tax-Free Wealth Book) Twitter (WealthAbility®) Instagram (WealthAbility®) DISCLAIMER: WealthAbility® does not provide tax, legal or accounting advice. The materials provided have been prepared for [More]
Maluuba Research has developed a suite of tasks that teach artificial agents how to seek information actively, by asking questions. We’ve also designed a deep neural agent that learns to accomplish these tasks through efficient information-seeking behaviour. Such behaviour is a vital research step towards Artificial General Intelligence. Read the paper: Learn more about Maluuba Research:
Can you tell the difference between AI and a human?, with Michael Wooldridge Subscribe to Big Think on YouTube ►► Up next ►► Walter Isaacson on Alan Turing, Intelligent Machines and “The Imitation Game” 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: ———————————————————————————- 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]
This lecture considers the current reality of Artificial Intelligence in education and its transformative potential. What do we mean by the term ‘AI’? A lecture by Professor Rose Luckin, University College London 09 April 2019 6pm (UK time) This lecture will consider the current reality of AI in education and its transformative potential. Professor Luckin will introduce what we mean by the term AI and how the development of increasingly smart technologies in the workplace and home requires us to change how and what we teach and learn. It will be explained how AI is already supporting the teaching and learning process, with speculation about the possible futures that AI might provide in order to help us tackle our greatest educational challenges.
Progress in artificial intelligence (AI), deep learning, and robotics allow new capabilities that will affect military strategies assertively.
In this video I discuss the role of artificial intelligence in education and explore the roles of teachers and intelligent machine to make learning a better experience for everyone. 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 here: Thanks for watching!
Led by Start-Up Nation Central, Jerusalem: Where Tech Meets Design presents our flagship conference: Designing | Engineering the Future 2019. Speaker: Molly Wright Steenson, Carnegie Mellon School of Design Topic: The New What? AI, the Past, and the Future For more information, visit
Humanizing Technology through Design 17-19 June 2021 Turin Day 1 — Session “Ethic and Technology” Molly Wright Steenson — “Ethics – or something else?” Humanizing Technology through Design is a project by Circolo del Design, curated by Jan-Christoph Zoels, and coordinated by Sara Fortunati / Main partner: Camera di commercio di Torino, Enterprise Europe Network / In collaboration with: OGR Torino / The patronage of: Città di Torino / Cultural Partner: Torino Città Creativa UNESCO per il Design / Promo Partner: Fondazione Torino Wireless Visual design: Fionda Video subtitles: Federica Furnari
Molly Steenson of Carnegie Mellon University is interviewed at the NewsDesk at O’Reilly Design Conference 2016. Subscribe to O’Reilly on YouTube: Follow O’Reilly on Twitter: Facebook: Google: