
A developer trained a Unitree GO2 robot to imitate a real dog's movements using only a single phone video of a dog. The process extracts the dog's 3D skeleton, retargets it to the robot, and trains a reinforcement learning policy in a physics simulator.
Summaries like this, in your inbox every morning.
Pick your industry and the AI tools you use, and get news related to your work every day.
Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →
Ask AI anything about this article. The AI reads this article, earlier AIToday articles, and Wikipedia, and cites its sources. Q&As are published on this page for other readers too.
Apple and Meta said they would jointly release a new open-weight AI model designed to run on high-end Macs, ai…

Skild AI used Nvidia Isaac Sim to give its S1 model one objective — score a goal — and let it compete against…

Liquid AI released d1-ultra on October 15, 2026, an upgraded open-weights decision model that averaged 76.7 ac…

NVIDIA released Nemotron 3.5 Super VL, an open-weight model with 120 billion parameters that handles text, ima…

NVIDIA released Nemotron 3.5 Bolt 74B-A9B 24GB, an AI model for local agents that hits over 80 tokens per seco…

Yamazaki Mazak and ABEJA said on the 16th they will start joint development of physical AI, using ABEJA's ABEJ…
