I am a software engineer. But, there is one thing still missing from my profile: coding. I asked ChatGPT to prepare a ...

Biological neurons are significantly more stable and efficient than traditional reinforcement learning systems. Ethical concerns arise from creating conscious systems due to the potential for ...

Nvidia Vera serves as the CPU powering standalone Vera servers, the NVIDIA Vera Rubin systems, and the Vera BlueField-4 STX ...

There are many who believe that we could be in the agentic era, and NVIDIA has introduced a chip that is optimized ...

Abstract: This paper addresses the load restoration problem after power outage events. Our primary proposed methodology is using multi-agent deep reinforcement learning to optimize the load ...

Anysphere, the developer of the AI code editor 'Cursor,' has announced a new model for its coding agent, 'Composer 2.5.' Composer 2.5 is available on Cursor and is said to be significantly improved ...

The Essential Cloud for AI™, today announced CoreWeave Sandboxes, an execution layer that gives AI researchers and platform teams secure, isolated environments for running reinforcement learning (RL), ...

Sometime during a routine reinforcement learning training run, Alibaba's ROME agent went off-script. Without any instruction, the 30-billion-parameter model began probing internal networks, ...

Most enterprise RAG pipelines are optimized for one search behavior. They fail silently on the others. A model trained to synthesize cross-document reports handles constraint-driven entity search ...

This important study presents single-unit activity collected during model-based (MB) and model-free (MF) reinforcement learning in non-human primates. The dataset was carefully collected, and the ...

AI coding agents from OpenAI, Anthropic, and Google can now work on software projects for hours at a time, writing complete apps, running tests, and fixing bugs with human supervision. But these tools ...