SGLang, which originated as an open source research project at Ion Stoica’s UC Berkeley lab, has raised capital from Accel.

Researchers demonstrate that misleading text in the real-world environment can hijack the decision-making of embodied AI ...

A new set of simple equations can fast-track the search for metal-organic frameworks (MOFs), a Nobel-Prize-winning class of ...

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...

The operation of future 6th-generation (6G) mobile networks will increasingly rely on the ability of Deep Reinforcement Learning (DRL) to optimize network decisions in real-time. However, trained DRL ...

Abstract: Long-horizon tasks, such as box stacking, pose a longstanding challenge in robotic manipulation, especially for Reinforcement Learning (RL). RL typically focuses on learning an optimal ...

This follow-up work demonstrates applying LASER for scene-graph generation in embodied agent environments. Answer: Ensure your CUDA Tool kit and your pytorch has the same version. Take 12.4 as an ...