Imagine being able to have a language conversation about anything with a computer. This is now possible and available to many people for the first time with ChatGPT. In this episode we take a look at the consequences and some interesting insights from Open AI’s CEO Sam Altman. » Podcast: Interviews with Altman: » Twitter | @ColdFusion_TV » Instagram | coldfusiontv //Soundtrack// Burn Water – Nostalgia Dreams [The Deep Mix] All Parts Equal – Airae City Phases – John Abbot Burn Water – Ikigai Burn Water – Take Flight (Instrumental) In the Waiting – Johannes Bornlof Burn Water – Yesterday’s Future Roland Lewis – Wait Burn Water – Being Honest Aphex Twin – Stone in Focus Tangerine Dream – Love On A Real Train Burn Water – Passage of Time Burn Water – Nostalgia Dreams Sources: 11-year-old boy uses chatbot AI to create a Harry Potter game ( ColdFusion Music Channel: » Music I produce | or » » » Collection of music used in videos: Producer: Dagogo Altraide
Authors: Diogo Leitão, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro Human-AI collaboration (HAIC) in decision-making aims to create synergistic teaming between human decision-makers and AI systems. Learning to defer (L2D) has been presented as a promising framework to determine who among humans and AI should make which decisions in order to optimize the performance and fairness of the combined system. Nevertheless, L2D entails several often unfeasible requirements, such as the availability of predictions from humans for every instance or ground-truth labels that are independent from said humans. Furthermore, neither L2D nor alternative approaches tackle fundamental issues of deploying HAIC systems in real-world settings, such as capacity management or dealing with dynamic environments. In this paper, we aim to identify and review these and other limitations, pointing to where opportunities for future research in HAIC may lie. arXiv: Venue: ICML 2022 workshop on Human-Machine Collaboration and Teaming ( To learn more about the Research Team at Feedzai, visit:
Ameca’s incredible skills are part of a huge leap for AI Robots. The robot from Engineered Arts is a taste of the future Boston Dynamics and Tesla. Elon Musk is building a real Matrix, almost like the matrix movie. We’re new to youtube, so comments and subs are really helpful. The charity mentioned at the end is Give Directly: Ameca, the humanoid robot: Boston Dynamics dancing robots: AI solves a 55x55x55 Rubik’s Cube: Robot learns to play table tennis: AI outsmarts its creators: Research published in The Lancet predicts population decline: Income and life expectancy:
A Dangerous AI and Robot Dance, with Elon Musk, Tom Scott & Pissbot (aka Boston Dynamics’ Spot). We’re new to youtube, so comments and subs are really helpful. Tom Scott’s video about grocery store robots: Michael Reeves teaches Boston Dynamics’ robot dog spot to pee beer: Microscopic robots, Itai Cohen, Cornell University: Robot chair dance, Mattias Lindström (Swebounce): Boston Dynamics Robot dog dance, Spots on it: Salamander robot with Roboticist Auke Ijspeert: Spot explores martian-like caves, with NASA JPL:
Yoshua Bengio, considered one of the ‘Godfathers of Artificial Intelligence’ discusses Recurrent independent mechanisms, sample complexity, end-to-end adaptation, multivariate categorical MLP conditionals and more. When summarising his talk, Professor Bengio gave three key points to keep in mind when ‘looking forward’ – We must build a world model which meta-learns causal effects in abstract space of causal variables. This requires a necessity to quickly adapt to change and generalize out-of-distribution by sparsely recombining modules – The necessity to acquire knowledge and encourage exploratory behaviour – The need to bridge the gap between the aforementioned system 1 and system 2 ways of thinking, with old neural networks and consciousness reasoning taken into account
Bio Oriol Vinyals is a Principal Scientist at Google DeepMind, and a team lead of the Deep Learning group. His work focuses on Deep Learning and Artificial Intelligence. Prior to joining DeepMind, Oriol was part of the Google Brain team. He holds a Ph.D. in EECS from the University of California, Berkeley and is a recipient of the 2016 MIT TR35 innovator award. His research has been featured multiple times at the New York Times, Financial Times, WIRED, BBC, etc., and his articles have been cited over 70000 times. His academic involvement includes program chair for the International Conference on Learning Representations (ICLR) of 2017, and 2018. He has also been an area chair for many editions of the NeurIPS and ICML conferences. Some of his contributions such as seq2seq, knowledge distillation, or TensorFlow are used in Google Translate, Text-To-Speech, and Speech recognition, serving billions of queries every day, and he was the lead researcher of the AlphaStar project, creating an agent that defeated a top professional at the game of StarCraft, achieving Grandmaster level, also featured as the cover of Nature. At DeepMind he continues working on his areas of interest, which include artificial intelligence, with particular emphasis on machine learning, deep learning and reinforcement learning.
AI – everyone is talking about it but who is actually doing it (and generating business results). This session takes an industry by industry perspective on true AI adoption disambiguating the hype from the reality, the theoretical from the practical and the research labs from ROI. This presentation provides: Showcase companies getting actual real value from leveraging artificial intelligence and discuss ideas around how any company, from SMB to enterprise, can use artificial intelligence within their own business and industry. See examples of AI working in the real world featuring the following industries: – eCommerce/Retail – Robotics and IoT – Agriculture Technology – Education Do You Like This Video? Share Your Thoughts in Comments Below Also, You can visit our website and choose the nearest ODSC Event to attend and experience all our Trainings and Workshops Details Here: #DataScience #AI #AIBusiness #ODSC
Beyond cryptocurrencies: AI enabled financial technologies, possible existential risks and a need for reorganization of financial infrastructure. Joscha Bach, Ph.D. is an AI researcher who worked and published about cognitive architectures, mental representation, emotion, social modeling, and multi-agent systems. He earned his Ph.D. in cognitive science from the University of Osnabrück, Germany, and has built computational models of motivated decision making, perception, categorization, and concept-formation. He is especially interested in the philosophy of AI and in the augmentation of the human mind. Joscha has taught computer science, AI, and cognitive science at the Humboldt-University of Berlin and the Institute for Cognitive Science at Osnabrück. His book “Principles of Synthetic Intelligence” (Oxford University Press) is to appear later this year. Joscha authored Seven Principles of Synthetic Intelligence, Representations for a Complex World: Combining Distributed and Localist Representations for Learning and Planning, Enhancing Perception and Planning of Software Agents with Emotion and Acquired Hierarchical Categories, and MiniPsi, der Mac-Roboter, and coauthored MicroPsi: Contributions to a Broad Architecture of Cognition, The AEP Toolkit for Agent Design and Simulation, The Artificial Emotion Project Handbook, Mental Models for Robot Control, Designing Agent Behavior with the Extensible Agent Behavior Specification Language XABSL, and Using pattern matching on a flexible, horizon-aligned grid for robotic vision. Currently, he is working as an entrepreneur in Berlin, Germany. ==== Something unusual happened at Davos this year: new ideas coming not from the usual collection of rich and famous, their symbiotic journalists, or even from political activists. This was the voice [More]
Moving beyond supervised deep learning Watch Yoshua Bengio, Professor of Computer Science and Operations Research at Université de Montréal on stage at World Summit AI Americas 2019.
Whether you know it or not Artificial Intelligence Stocks are taking over your life and the companies that know how to use AI are profiting in a major way. ► BEAST MODE Spreadsheets: ► WeBull 2 FREE STOCKS VALUE UP To $1400: ► Robinhood Free Stock: ► Open A Roth IRA: ► eToro Investing Platform for non-USA to trade in USA: Here are 3 examples: 1. Amazon constantly suggesting more products for you to buy. 2. Google suggesting ads that are of interest to you based on your browser history. 3. Alexa constantly collecting data on every aspect of your life. It’s no wonder these stocks have gained 57% over the last 3 months and more than 93% over the past 2 years. If you are looking for future profits the Artificial Intelligence stocks should be in your portfolio. If you are new to my channel I don’t waste much time with smalltalk and I get right into fundamental analysis and my goal is to find winning stocks to invest in. If you want a no nonsense approach based on data then you’ve found the right channel. __________________________ JERRY’s POPULAR VIDEOS △How To Analyze Stocks (Fundamental Analysis): △How I Became A Millionaire: △Buy These Stocks: △Charting Buy & Sell Signals(BONUS 2nd Half): △WeBull App Complete Tutorial (GREAT INFO HERE): △How To Buy At The Bottom: △Stock Market Analysis Playlist: △Jerry’s Travel Video Playlist: MY FAVORITE THINGS. △Best [More]
On the verge of the superhuman revolution and the exponential age, artificial intelligence might become the next step in human evolution. Xerxes describes with the convergence of AI, IoT, Big Data and Blockchain we create the first intelligent autonomous technological organisms and poses the question which rules we want to program into the AI as its development is beyond our matrix. He believes that blockchain becomes the framework for a post-capitalistic, purpose-driven, token-based economic system and that is up to every single one of us to participate in this existential revolution. In this TEDxTalk, Xerxes shares his story of being born during the Iranian Revolution and urges you to rethink paradigms and reimagine a better and ethical future of technology, leadership, and humanity. Originally Persian, Xerxes has an interdisciplinary background in social sciences, eastern and western psychology, as well as strategy development. As an ambassador of ethical and sustainable future technology, he connects diverse people, ideas and thought schools to enable new perspectives. He inspires people to rethink, reimagine and reinvent. Xerxes is a futurist, counselor, and keynote speaker. He is the founder of the consultancy Metamorphosers – a diverse group of consulting pioneers for impact projects. To find out more about Xerxes, follow him on Twitter, Instagram or visit his website This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at
Welcome to my world of stocks!!! My name is Ale, and today, we are talking about the best artificial intelligence stocks for the future. Are these AI stocks a buy in 2020? Let’s dive deep and do some stock analysis! My Instagram: Free Education Playlist: Stock Market Investing for Beginners 2019 Ale’s World of Gaming: Thanks for watching and please subscribe!!! 🙂 Sources: and several other sites… ***Please be advised that I am not giving any financial or investing advice. I am not telling anyone how to spend or invest their money. Take all of my videos as my own opinion, as entertainment, and at your own risk.***
When we think about ethics and AI, our first thoughts often go to the question of what happens if a self-driving car kills a pedestrian. The life and death questions of autonomous systems are important to address—and so are other enormous questions like unfair bias, privacy, safety, and accountability. These aren’t just technical or policy questions: they’re design questions. Designers frame problems, shape the features and behavior of AI-enabled systems, and provide the levers that AI is allowed to pull. Designers are in a unique position to help with these problems about AI, design, and ethics, and in this talk, we’ll look at how. WPTV link:
Daniel McDuff on “Emotion Aware Technology – Improve Well-Being and Beyond” at TEDxBerlin ( Daniel McDuff is building and utilizing scalable computer vision and machine learning tools to enable the automated recognition and analysis of emotions and physiology. He is currently principal research scientist Affectiva and a post-doctoral research affiliate at the MIT Media Lab. At Affectiva Daniel is building state-of-the-art facial expression recognition software and leading analysis of the world’s largest database of human emotions (currently with 8B+ data points). Daniel completed his PhD in the Affective Computing Group at the MIT Media Lab in 2014 and has a B.A. and Masters from Cambridge University. His work has received nominations and awards from Popular Science magazine as one of the top inventions in 2011, South-by-South-West Interactive (SXSWi), The Webby Awards, ESOMAR, the Center for Integrated Medicine and Innovative Technology (CIMIT) and several IEEE conferences. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at
As Artificial Intelligence (AI) becomes more prevalent and powerful in our society, it becomes essential to look to its moral consequences. How can a machine become moral? How do some of the deeper questions of morality, especially those surrounding religion, evolution, and reason factor into this equation? This talk explores these and other questions in the hope of motivating further research on a project that has the power to doom or save the human race, as we know it. Devin is Chief Technology Officer at the DGC Group, providing gamification technologies and analytics to large corporate clients. He regularly employs machine learning techniques as part of the data analytic services and developing on an online gamification platform. He graduated from Austin College in 2009 with a double major in Philosophy and Religion. After graduating, he spent six years in Tibetan areas of China working for a non-profit, teaching English at a University, and developing an English Training School. Devin is currently pursuing his Master’s Degree at Columbia in Machine Learning, and regularly studies the philosophical and technological implications of Artificial Intelligence. Devin is especially drawn to non-western (especially Buddhist) philosophical insights of the mind and how these may have relevance in the development of Artificial Intelligence. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at
Discover the latest innovation and the positive impact of Artificial Intelligence technologies. The Applied AI Conference is a must-attend event for people who are working, researching, building, and investing in Applied Artificial Intelligence technologies and products. Keynote: Technology Disruption, Beyond the Hype Lanny Cohen, Group Chief Technology Officer, Capgemini
Daniel Gillblad, PhD, Director, Decisions, Networks and Analytics Laboratory, RISE SICS AB .Artificial intelligence beyond Machine Learning, and what are we at RISE SICS doing in this area.