1640912989_maxresdefault.jpg
17
39:44

SingularityNET: Variolation and Vouching as Alternate Pandemic Policies – Dr. Robin Hanson – COVID-19 Sim Summit

➡️ COVID-19 Simulation Summit Playlist: https://www.youtube.com/playlist?list=PLAJnaovHtaFR5puHCN4W_4o8cgIHdawDb ——————————————— 👀 About the speaker Robin Hanson is associate professor of economics at George Mason University, and research associate at the Future of Humanity Institute of Oxford University. He has a doctorate in social science from California Institute of Technology, master’s degrees in physics and philosophy from the University […]
1640001556_hqdefault.jpg
638
06:37

Two Minute Papers: Neural Material Synthesis | Two Minute Papers #88

We are going to talk about techniques that create physically based material models from photographs that we can use in our light simulation programs. In an earlier work, two photographs are required for high-quality reconstruction. It seems that working from only one photograph doesn’t seem possible at all. However, with the power of deep learning… […]
1639763499_maxresdefault.jpg
77
19:43

SingularityNET: General Theory of General Intelligence: Quantifying General Intelligence (4/10)

This episode has been reuploaded for improved quality. This is Episode 4 in a series of videos discussing the General Theory of General Intelligence as overviewed in the paper Goertzel, Ben. “The General Theory of General Intelligence: A Pragmatic Patternist Perspective.” https://arxiv.org/pdf/2103.15100 This episode reviews some issues and formal approaches relating to quantifying the general […]
1639308303_maxresdefault.jpg
26
01:09:21

SingularityNET: Agent-Based Simulation of COVID-19 Health and Economical Effects – Dr. Petronio Candido

➡️ COVID-19 Simulation Summit Playlist: https://www.youtube.com/playlist?list=PLAJnaovHtaFR5puHCN4W_4o8cgIHdawDb ——————————————— 👀 About the speaker Petrônio Cândido L. Silva is a Brazilian professor, developer, and researcher. He has a B.Sc degree in Information Systems(2005), an M.Sc degree in Informatics (2010), and a Ph.D. in Electrical Engineering(2019). Currently, he works in the Federal Institute of Minas Gerais (Brazil) and is […]
1639134910_maxresdefault.jpg
135
13:43

SingularityNET: General Theory of General Intelligence: Universal AI Algorithms (5/10)

This is Episode 5 in a series of videos discussing the General Theory of General Intelligence as overviewed in the paper Goertzel, Ben. “The General Theory of General Intelligence: A Pragmatic Patternist Perspective.” https://arxiv.org/pdf/2103.15100 This episode reviews some theoretical work regarding algorithms and processes that in some senses realize or manifest “optimal or near optimal […]
1639004733_maxresdefault.jpg
163
01:01:02

SingularityNET: General Theory of General Intelligence: Developmental AGI Ethics(10/10)

https://arxiv.org/pdf/2103.15100 This episode embarks on some critical and difficult issues regarding the ethics of AGI systems — including how to architect AGI systems to remain ethical as they evolve and grow, the nature of ethical systems as they mature, and problems related to the embedding of growing AGI systems within current human socioeconomic systems. The […]
1636310051_maxresdefault.jpg
0

Can We Teach Physics To A Machine? ⚛

❤️ Check out Fully Connected by Weights & Biases: https://wandb.me/papers 📝 The paper “Learning mesh-based simulation with Graph Networks” is available here: https://arxiv.org/abs/2010.03409 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Haro, Alex Serban, Andrew Melnychuk, Angelos Evripiotis, Benji Rabhan, Bryan Learn, Christian Ahlin, […]
1636182174_hqdefault.jpg
109
01:11:04

Directions in ML: “Neural architecture search: Coming of age”

Neural Architecture Search (NAS) is a very promising but still young field. I will start this talk by discussing various works aiming to build a scientific community around NAS, including benchmarks, best practices, and open source frameworks. Then, I will discuss several exciting directions for the field: (1) a broad range of possible speedup techniques […]
1635499519_maxresdefault.jpg
8
11:02

NeurIPS 2021: An Infinite-Feature Extension for Bayesian ReLU Nets …

——————————————————————————– An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence Agustinus Kristiadi, Matthias Hein, and Philipp Hennig Advances in Neural Information Processing Systems (NeurIPS) 2021 ——————————————————————————– ► Paper: https://arxiv.org/abs/2010.02709 ► Code: https://github.com/wiseodd/rgpr A Bayesian treatment can mitigate overconfidence in ReLU nets around the training data. But far away from them, ReLU Bayesian […]
1634897105_maxresdefault.jpg
15
08:01

UAI 2021: Learnable Uncertainty under Laplace Approximations

——————————————————————————– Learnable Uncertainty under Laplace Approximations Agustinus Kristiadi, Matthias Hein, and Philipp Hennig Uncertainty in Artificial Intelligence (UAI) 2021 ——————————————————————————– ► Paper: https://arxiv.org/abs/2010.02720 ► Code: https://github.com/wiseodd/lula Laplace approximations are classic, computationally lightweight means for constructing Bayesian neural networks (BNNs). As in other approximate BNNs, one cannot necessarily expect the induced predictive uncertainty to be calibrated. […]
1634671003_maxresdefault.jpg
34
04:08

NeurIPS 2020: Probabilistic Linear Solvers for Machine Learning

Linear solvers from a Bayesian inference perspective. ——————————————————————————– Probabilistic Linear Solvers for Machine Learning Jonathan Wenger and Philipp Hennig Advances in Neural Information Processing Systems (NeurIPS) 2020 ——————————————————————————– ► Paper: https://arxiv.org/abs/2010.09691 ► Implementation: https://github.com/probabilistic-numerics/probnum ► Experiments: https://github.com/JonathanWenger/probabilistic-linear-solvers-for-ml Linear systems are the bedrock of virtually all numerical computation. Machine learning poses specific challenges for the solution […]
1634383685_maxresdefault.jpg
428
14:46

How To Learn the Math of AI For FREE in 2020

Find out an open source framework for learning the math of artificial intelligence, all for free. Your coursework should include calculus, linear algebra, statistics and a basic course in computer science fundamentals. Be prepared to spend a couple years learning the material, as there are no short cuts. Everything worth learning is going to take […]
1633455784_hqdefault.jpg
19
01:46

A Plane That Perches Like a Bird

For more info: http://web.mit.edu/newsoffice/2010/perching-plane-0720.html http://groups.csail.mit.edu/locomotion/perching.html YouTube Source for this AI Video
1633407143_hqdefault.jpg
38
06:27

Robot Forklift demo (June 2010)

For more info, visit http://agile.mit.edu On June 15 and 16, 2010, the MIT Agile Robotics team demonstrated a robot forklift at a busy SSA (Supply Support Activity, essentially an outdoor warehouse and supply depot) at Fort Lee in Virginia. The demonstration included: understanding and execution of verbal commands; interpretation of tablet gestures and speech; seamless […]
1629382998_maxresdefault.jpg
97
02:39:06

#034 Eray Özkural- AGI, Simulations & Safety

Dr. Eray Ozkural is an AGI researcher from Turkey, he is the founder of Celestial Intellect Cybernetics. Eray is extremely critical of Max Tegmark, Nick Bostrom and MIRI founder Elizier Yodokovsky and their views on AI safety. Eray thinks that these views represent a form of neoludditism and they are capturing valuable research budgets with […]
1629316078_maxresdefault.jpg
231
01:30:29

#032- Simon Kornblith / GoogleAI – SimCLR and Paper Haul!

This week Dr. Tim Scarfe, Sayak Paul and Yannic Kilcher speak with Dr. Simon Kornblith from Google Brain (Ph.D from MIT). Simon is trying to understand how neural nets do what they do. Simon was the second author on the seminal Google AI SimCLR paper. We also cover “Do Wide and Deep Networks learn the […]
1629304442_maxresdefault.jpg
213
01:58:22

039 – Lena Voita – NLP

Lena Voita is a Ph.D. student at the University of Edinburgh and University of Amsterdam. Previously, She was a research scientist at Yandex Research and worked closely with the Yandex Translate team. She still teaches NLP at the Yandex School of Data Analysis. She has created an exciting new NLP course on her website lena-voita.github.io […]
1629300682_maxresdefault.jpg
241
01:40:22

#047 Interpretable Machine Learning – Christoph Molnar

Christoph Molnar is one of the main people to know in the space of interpretable ML. In 2018 he released the first version of his incredible online book, interpretable machine learning. Interpretability is often a deciding factor when a machine learning (ML) model is used in a product, a decision process, or in research. Interpretability […]
1629244278_maxresdefault.jpg
585
01:42:32

#036 – Max Welling: Quantum, Manifolds & Symmetries in ML

Today we had a fantastic conversation with Professor Max Welling, VP of Technology, Qualcomm Technologies Netherlands B.V. Max is a strong believer in the power of data and computation and its relevance to artificial intelligence. There is a fundamental blank slate paradigm in machine learning, experience and data alone currently rule the roost. Max wants […]
1627277105_maxresdefault.jpg
379
49:06

19. Architectures: GPS, SOAR, Subsumption, Society of Mind

MIT 6.034 Artificial Intelligence, Fall 2010 View the complete course: http://ocw.mit.edu/6-034F10 Instructor: Patrick Winston In this lecture, we consider cognitive architectures, including General Problem Solver, SOAR, Emotion Machine, Subsumption, and Genesis. Each is based on a different hypothesis about human intelligence, such as the importance of language and stories. License: Creative Commons BY-NC-SA More information […]