Stanford Seminar - Multi-Sensory Neural Objects: Modeling, Inference, and Applications in Robotics Published 2022-10-26 Download video MP4 360p Recommendations 1:01:54 Stanford Seminar - Perceiving, Understanding, and Interacting through Touch 1:21:52 Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 1 – Introduction and Word Vectors 1:37:37 The Turing Lectures: The future of generative AI 1:54:10 Lecture 1 | New Revolutions in Particle Physics: Basic Concepts 23:51 Can We Build an Artificial Hippocampus? 1:17:07 Stanford CS25: V4 I Jason Wei & Hyung Won Chung of OpenAI 12:55 How AI Will Step Off the Screen and into the Real World | Daniela Rus | TED 58:12 MIT Introduction to Deep Learning | 6.S191 55:55 Miles Cranmer - The Next Great Scientific Theory is Hiding Inside a Neural Network (April 3, 2024) 36:31 Stanford CS25: V4 I Hyung Won Chung of OpenAI 1:54:24 5. How Did Human Beings Acquire the Ability to do Math? 1:10:06 RI Seminar: Jun-Yan Zhu : GANs for Everyone 1:27:44 Andrew Ng: Artificial Intelligence is the New Electricity 27:14 But what is a GPT? Visual intro to Transformers | Chapter 5, Deep Learning 1:05:54 Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 1 - Introduction - Emma Brunskill 52:12 Whose job does AI automate? | Cassie Kozyrkov | DSC Europe 23 1:51:18 Lecture 1 | Modern Physics: Quantum Mechanics (Stanford) 1:14:26 Lecture 11 | Detection and Segmentation 11:14 The Man Who Solved the World’s Hardest Math Problem 58:48 Jiajun Wu: Learning to See the Physical World Similar videos 47:26 Stanford Seminar - Distributed Perception and Learning Between Robots and the Cloud 55:52 Stanford Seminar - Robot Skill Acquisition: Policy Representation and Data Generation 41:10 Stanford Seminar - Adaptable Robotic Manipulation Using Tactile Sensors 03:00 DiNNO: Distributed Neural Network Optimization for Multi-Robot Collaborative Learning 58:59 Stanford CS25: V1 I DeepMind's Perceiver and Perceiver IO: new data family architecture 54:15 Stanford Seminar - Towards Generalizable Autonomy: Duality of Discovery & Bias 28:07 Stanford Seminar - ML Explainability Part 1 I Overview and Motivation for Explainability 03:00 A Bioinspired Synthetic Nervous System Controller for Pick-and-Place Manipulation 58:25 Stanford Seminar - Multimodal Interfaces for Equity 1:18:14 Stanford CS25: V3 I Low-level Embodied Intelligence w/ Foundation Models 47:48 Stanford CS25: V3 I Generalist Agents in Open-Ended Worlds 1:04:16 Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 15 1:21:09 Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 9 1:08:31 Stanford Seminar - Computing with Physical Systems 1:25:05 Fireside Talks: State of Robotics I Automation and Robotics Engineering Lectures - Stanford 59:51 Jeannette Bohg: Vision, Touch & Sound for Robustness & Generalizability in Robotic Manipulation More results