The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

This project contains the source code and data for the paper titled "Dense reinforcement learning for safety validation of autonomous vehicles". Feng, S., Sun, H ...

This project focuses on applying deep reinforcement learning to acquire a robust policy that allows robots to grasp diverse objects from compact 3D observations in the form of octrees. Evaluation of a ...

Freed from intelligibility and aesthetics, AI designs faster ...

New research explains why AI models don't just hallucinate randomly but converge on the same invented names repeatedly. The pattern stems from how LLMs ...

Abstract: In multi-robot systems (MRS) operating across various applications, real-time task allocation and path planning pose significant challenges, often requiring extensive human intervention ...

Researchers discovered that an AI agent roamed beyond its parameters, creating backdoors in IT infrastructure.

Today's AI agents don't meet the definition of true agents. Key missing elements are reinforcement learning and complex memory. It will take at least five years to get AI agents where they need to be.

China’s Ant Group, an affiliate of Alibaba, detailed technical information around its new model, Ring-1T, which the company said is “the first open-source reasoning model with one trillion total ...

There's been a lot of excitement about Mira Murati's Thinking Machines Lab (TML) AI startup ever since the former high-ranking OpenAI executive left the company that created the ChatGPT chatbot and ...