an embodied chat bot telling everyone to buy clothing –ar 5:3 –v 6.0 –style raw

“We are building physical AI, a new category of AI that perceives, understands, and reasons about the physical world around us. Curious? Check out video to learn more about Newton, a first-of-its-kind physical AI foundation model. #PhysicalAI #Newton #ArchetypeAI  https://twitter.com/PhysicalAI/status/1777468289079464401

“one day PhDs will animate every object around us with reinforcement learning to keep their thesis going  https://twitter.com/DrJimFan/status/1778819699062735350 

This is AR… but will lead to training robots.

“PhysAvatar Learning the Physics of Dressed 3D Avatars from Visual Observations Modeling and rendering photorealistic avatars is of crucial importance in many applications. Existing methods that build a 3D avatar from visual observations, however, struggle to reconstruct  https://twitter.com/_akhaliq/status/1777561422924284181

“Excited to share we’ve closed $100M Series B funding led by @generalcatalyst. The support @htaneja and team have shown is amazing. Excited to have Paul Kwan join our Board and @teresacarlson on board as an Advisor.  https://twitter.com/BradPorter_/status/1778064310004310356 

“@steph_palazzolo @erinkwoo @AndrewYNg @herbertong Meta published OpenEQA, the Open-Vocabulary Embodied Question Answering Benchmark. The new benchmark measures the vision language model’s understanding of physical environments by asking it questions.  https://twitter.com/rowancheung/status/1778602232256040996

“Today we’re releasing OpenEQA — the Open-Vocabulary Embodied Question Answering Benchmark. It measures an AI agent’s understanding of physical environments by probing it with open vocabulary questions like “Where did I leave my badge?” More details ➡️  https://twitter.com/AIatMeta/status/1778425321118732578 

OpenEQA: From word models to world models – https://ai.meta.com/blog/openeqa-embodied-question-answering-robotics-ar-glasses/

“Figure-01 electromechanical humanoid robot  https://twitter.com/adcock_brett/status/1776672870816739369 

“Soccer players have to master a range of dynamic skills, from turning and kicking to chasing a ball. How could robots do the same? ⚽ We trained our AI agents to demonstrate a range of agile behaviors using reinforcement learning. Here’s how. 🧵  https://twitter.com/GoogleDeepMind/status/1778377999202541642 

Learning agile soccer skills for a bipedal robot with deep reinforcement learning | Science Robotics – https://www.science.org/doi/10.1126/scirobotics.adi8022 

Sanctuary

“BREAKING: Sanctuary AI, one of the leading humanoid bot companies, just announced a blockbuster partnership with Magna International – one of the largest companies in the automotive supply sector.  And this partnership is wide ranging. Not only is Manga providing additional  https://twitter.com/herbertong/status/1778420600790471084 

Sanctuary AI Expands General Purpose Robot Footprint in Automotive Manufacturing Industry – https://sanctuary.ai/resources/news/sanctuary-ai-expands-general-purpose-robot-footprint-in-automotive-manufacturing-industry/ 

Heads up! You’ve scrolled to the end of this category. There may have been just one or two links (above), so go back up and double check to be sure you didn’t quickly scroll down past it.

Be Sure To Read This Week’s Main Post:

This week’s executive overview and top links are here:

AI News #28: Week Ending 04/12/2024 with Executive Summary and Top 48 Links

The post you just read is an deep dive extension of my weekly newsletter, This Week In AI, an executive summary of the top things to know in AI. Each week, I create an accessible overview for laypeople to feel confident they are conversant with the week’s AI developments. I include a curated list of must-click links of the week, to offer everyone a hands-on opportunity to explore the most intriguing updates in artificial intelligence across various categories, including robotics, imagery, video, AR/VR, science, ethics, and more. Beyond the overview, I post these topic-based deeper dives (below). If you haven’t read this week’s overview, I recommend starting there.

Credits/Sources

Most of these weekly links come from just a few prolific oversharing sources. Please follow them, as they work hard to find the news each week and they make it a lot easier for me to compile.

For previous issues, please visit the archives!

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