DeepMind's X-Embodiment and RT-X: Training Robots to Learn from Each Other
Just as people acquire new skills by observing others, robots also benefit from pooling knowledge
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PubDef: Defending Against Transfer Attacks Using Public Models
Adversarial attacks pose a serious threat to ML models. But most proposed defenses hurt performance on clean data too much to be practical.
Towards zero-shot NeRFs: New HyperFields method generates 3D objects from text
Training AI to generate 3D objects from text descriptions
Researchers find using MARL AI results in better urban planning outcomes
A new research paper proposes using Multi-Agent Reinforcement Learning (MARL) to vote on land use.
Researchers discover in-context learning creates task vectors in LLMs
The researchers show that ICL could be broken down into two distinct steps occurring within the neural network.
Combining Thermodynamics and Diffusion Models for Collision-Free Robot Motion Planning
A new AI-based method to help robots navigate 3D environments
3D-GPT: A new method for procedural Text-to-3D model generation
3D-GPT employs LLMs as a multi-agent system with three collaborative agents for procedural 3D generation