This article is long. However, to make it worth revisiting, I have provided three guideposts. Guidepost 1: Confidence Labels ...
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机器手指的“感觉细胞”,怎么才能学得聪明一点
先问你一个问题:如果把机械手上密密麻麻的触觉传感器,比作皮肤上的神经末梢,那这些神经末梢发来的信号,机器人的大脑该怎么理解?
A new self-supervised framework combining joint-embedding prediction and bidirectional Mamba learns diagnostic ECG ...
Hierarchical world-model planning raised pick-and-place success from zero to seventy percent on a real Franka robot without ...
Yann LeCun: "AI Doomsday Scenarios Are Science Fiction… World Models Will Drive the Next Revolution"
Yann LeCun, founder and chairman of AMI Labs, dismissed AI doomsday scenarios as "closer to science fiction" at a forum in Seoul on the 12th, ...
Improvement (RSI) all misconceived for advancing artificial intelligence? Renowned AI pioneer Yann LeCun argues that ...
You can send a photo to ChatGPT and ask questions about it. You can hum a tune and get the song title. You can point your ...
H-JEPA learns representations of the world at different timescales, enabling AI systems to break complex goals into smaller, more manageable planning tasks.
Want only the AI that hits your stack? Build an agent that tracks your companies and topics, and skips everything else. The ingredient most JEPA-style world models still lack is identifiable, ...
JEPA-Anything adds Orthogonal Predictive Factorization to JEPA world models, improving all 10 matched dynamics tasks across 7 domains.
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