Final Plans for NVIDIA GTC 2022

To participate in the giveaway: 1. Register for GTC 2020, I would appreciate it if you use this link: Registration Link: https://nvda.ws/3vNRiLb (please use this one) 2. Setup your schedule for the conference, choose the sessions you want to view. 3. Next week, take a screen shot of the stream (either livestream or recorded) and […]

Mousetrap 2020's

I often use the game of mousetrap as an analogy for things like microservices, MLOps piplines, I thought I would finally get a copy to use in some upcoming videos. Here I am just seeing if I can set it up. Source of this machine learning/AI Video

Deep Learning for Automatic Basketball Video Production with Julian Quiroga – #389

Today we return to our coverage of the 2020 CVPR conference with a conversation with Julian Quiroga, a Computer Vision Team Lead at Genius Sports. Julian presented his recent paper “As Seen on TV: Automatic Basketball Video Production using Gaussian-based Actionness and Game States Recognition” at the CVSports workshop. We jump right into the paper, […]

Causal Modeling in Machine Learning Webinar with Robert Osazuwa Ness

Causality and causal modeling is one of the hottest topics in machine learning. Earlier this year we launched a new causality course and study group with instructor Robert Osazuwa Ness, which received great feedback from students. I’m happy to announce that the Fall 2020 course and study group will be starting on September 17th! Join […]

Probabilistic ML – Lecture 7 – Gaussian Parametric Regression

This is the seventh lecture in the Probabilistic ML class of Prof. Dr. Philipp Hennig in the Summer Term 2020 at the University of Tübingen. Time-stamped slides available at https://uni-tuebingen.de/en/180804. Contents: * Inference on linear and nonlinear functions using Gaussian inference * (aka. Gaussian linear regression) * basic implementation in python © Philipp Hennig / […]

Collaborating on the race to net zero

As the pandemic took hold in 2020, the Emergent Alliance convened over 50 corporates, individuals, NGOs and governments for the first time to leverage expertise, data, and resources to aid societal recovery. Here, founder Caroline Gorski is interviewed, to find out how she is applying the same collaborative approach to climate change at R² Factory, […]

(A) Linear algebra 17: Normed spaces; p-norms

Part of the Course “Mathematics for Machine Learning”, Winter Term 2020/21, Ulrike von Luxburg, University of Tübingen Source of this “Tübingen Machine Learning” AI Video

#75 – Emergence [Special Edition] with Dr. DANIELE GRATTAROLA

Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/ESrGqhf5CB Pod version: https://anchor.fm/machinelearningstreettalk/episodes/75—Emergence-Special-Edition-with-Dr–DANIELE-GRATTAROLA-e1hrb23 An emergent behaviour or emergent property can appear when a number of simple entities operate in an environment, forming more complex behaviours as a collective. If emergence happens over disparate size scales, then the reason is usually a causal relation across different scales. Weak emergence describes new properties […]

#69 DR. THOMAS LUX – Interpolation of Sparse High-Dimensional Data [UNPLUGGED]

Today we are speaking with Dr. Thomas Lux, a research scientist at Meta in Silicon Valley. In some sense, all of supervised machine learning can be framed through the lens of geometry. All training data exists as points in euclidean space, and we want to predict the value of a function at all those points. […]

Let's get physical – DeepMind: The Podcast (Season 2, Episode 4)

Do you need a body to have intelligence? And can one exist without the other? Hannah takes listeners behind the scenes of DeepMind’s robotics lab in London where she meets robots that are trying to independently learn new skills, and explores why physical intelligence is a necessary part of intelligence. Along the way, she finds […]

Speaking of intelligence – DeepMind: The Podcast (Season 2, Episode 2)

Hannah explores the potential of language models, the questions they raise, and if teaching a computer about language is enough to create artificial general intelligence (AGI). Beyond helping us communicate ideas, language plays a crucial role in memory, cooperation, and thinking – which is why AI researchers have long aimed to communicate with computers using […]

061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)

We are now sponsored by Weights and Biases! Please visit our sponsor link: http://wandb.me/MLST Yann LeCun thinks that it’s specious to say neural network models are interpolating because in high dimensions, everything is extrapolation. Recently Dr. Randall Bellestrerio, Dr. Jerome Pesente and prof. Yann LeCun released their paper learning in high dimensions always amounts to […]

SingularityNET: Modeling COVID-19 Using Simulated Agents with Intelligence and Culture – Dr. Deborah Duong

➡️ COVID-19 Simulation Summit Playlist: https://www.youtube.com/playlist?list=PLAJnaovHtaFR5puHCN4W_4o8cgIHdawDb ——————————————— 👀 About the speaker Dr. Deborah Duong is Director or AI Development at Rejuve and Director of Network Analytics at Singularity Net. The focus of her research is Complex Adaptive Systems, on the boundary between AI and Computational Social Science. She wrote the world’s first Intelligent Agent Based […]

SingularityNET: Panel: Simulating the Pandemic – Perspectives on COVID-19 modeling – COVID-19 Simulation Summit

➡️ COVID-19 Simulation Summit Playlist: https://www.youtube.com/playlist?list=PLAJnaovHtaFR5puHCN4W_4o8cgIHdawDb ——————————————— 👀 About the speakers Moderator: Gina Smith, PhD Based in Hong Kong, Gina Smith, PhD is the New York Times bestselling author of Apple cofounder Steve Wozniak’s biography, iWoz, and The Genomics Age, a 2008 Barron’s Book of the Year. A former ABC News correspondent and a longtime […]

CoRL 2020, Spotlight Talk 442: Hierarchical Robot Navigation in Novel Environments using Rough 2-…

“**Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps** Chengguang Xu (Northeastern University)*; Christopher Amato (Northeastern University); Lawson Wong (Northeastern University) Publication: http://corlconf.github.io/paper_442/ **Abstract** In robot navigation, generalizing quickly to unseen environments is essential. Hierarchical methods inspired by human navigation have been proposed, typically consisting of a high-level landmark proposer and a low-level controller. […]

CoRL 2020 Oral Session 6 – Perception

Chaired by: Abhinav Valada Paper Information: https://www.robot-learning.org/program#h.l0y1b1mqlwfo CoRL 2020: https://www.robot-learning.org YouTube Source for this Robot AI Video

Two Minute Papers: Virtual Reality Fluid Drawing Is Here! 🥛

❤️ Check out Weights & Biases and sign up for a free demo here: https://wandb.com/papers 📝 The paper “Interactive Liquid Splash Modeling by User Sketches” is available here: https://web.cse.ohio-state.edu/~wang.3602/Yan-2020-ILS/Yan-2020-ILS.pdf https://web.cse.ohio-state.edu/~wang.3602/publications.html 📝My earlier work on fluid control is available here: Real-time Control and Stopping of Fluids – Eurographics 2013, Poster – Károly Zsolnai, László Szirmay-Kalos (2013) […]

SingularityNET: COVID-19: A Front-Line Physician's Perspective – Ray & Roger Ng, MDs – COVID-19 Simulation Summit

➡️ COVID-19 Simulation Summit Playlist: https://www.youtube.com/playlist?list=PLAJnaovHtaFR5puHCN4W_4o8cgIHdawDb ——————————————— 👀 About the speakers Roger Ng, MD is cardiologist board certified in cardiovascular diseases and internal medicine passionate about bridging technology applications and AI for healthcare. He specializes in diagnostic imaging and treatment of congenital heart disease, valvular heart disease, coronary heart disease, heart failure, and arrhythmias. He […]

SingularityNET: Rejuve Live Demonstration – D.OS Event 2020

The Decentralized OS is an Online Summit gathering some of the most prestigious minds in blockchain, crypto, AI, finance and medicine. – Decentralized Health: The role of disruptive technologies, to support our fight against COVID-19 and create a better Healthcare Rejuve Technology has exclusive rights to develop therapies or diagnostics based on Network biodata. Revenue […]

SingularityNET: Infusing AGI with Compassion – PANEL 3 – AGI 2020 CONFERENCE

The AGI Society has organised its 13th Artificial General Intelligence Conference this year online. The AGI conference series is the only major conference series devoted wholly and specifically to the creation of AI systems possessing general intelligence at the human level and ultimately beyond. By gathering together active researchers in the field, for presentation of […]

CoRL 2020, Spotlight Talk 6: Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointc…

“**Inverting the Pose Forecasting Pipeline with SPF2: Sequential Pointcloud Forecasting for Sequential Pose Forecasting** Xinshuo Weng (Carnegie Mellon University)*; Jianren Wang (Carnegie Mellon University); Sergey Levine (UC Berkeley); Kris Kitani (Carnegie Mellon University); Nicholas Rhinehart (UC Berkeley) Publication: http://corlconf.github.io/paper_6/ **Abstract** Many autonomous systems forecast aspects of the future in order to aid decision-making. For example, […]

SingularityNET: Agent-Based Modeling of Pandemics – Preliminary Results – Dr Ben Goertzel at D.OS 2020

SingularityNET and Singularity Studio have been gradually evolving our software framework for Agent-Based Modeling of the pandemic and leveraging it to run simulations of COVID-19 spread in various contexts. Watch as Dr Ben Goertzel describes some of the early results obtained in this quest. Learn more in this two-part blog series: https://bit.ly/ABMBlog1 https://bit.ly/ABMBlog2 —- SingularityNET […]