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A Deep Learning Alternative Can Help AI Agents Gameplay the Real World
A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.
Machine learning helps ease the jitters of high-power lasers
Researchers at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have made a breakthrough in ...
Deep Learning with Yacine on MSN1d
Backpropagation with Automatic Differentiation from Scratch in Python
Learn how to implement backpropagation using automatic differentiation from the ground up in Python—no libraries, just pure ...
Interesting Engineering on MSN6d
MIT’s new tech enables robots to act in real time, plan thousands of moves in seconds
MIT and NVIDIA researchers created a GPU-accelerated algorithm that lets robots plan complex tasks in seconds, boosting industrial efficiency.
Interesting Engineering on MSN15h
Meta’s new V-JEPA 2 AI helps robots predict and plan using nothing but raw video data
Meta unveils V-JEPA 2, a world model trained on video to help robots predict real-world physics and act with human-like ...
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Meta Releases V-JEPA 2 AI World Model to Teach Robots Physics and Common Sense
Meta challenges rivals with V-JEPA 2, its new open-source AI world model. By learning from video, it aims to give robots physical common sense for advanced, real-world tasks.