A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

Engineers at the Massachusetts Institute of Technology and Nvidia Research have developed an algorithm that enables robots to consider thousands of potential motion plans simultaneously.

Power users can also download third-party Excel templates from the web and use them with LibreOffice. Hidden behind the Tools ...

The utilization of both constrained and unconstrained-based optimization for solving constrained multi-objective optimization problems (CMOPs) has become prevalent among recently proposed constrained ...

This paper proposes a two-stage robust optimization approach to solve the N- k contingency-constrained unit commitment (CCUC) problem. In our approach, both generator and transmission line ...

Large reasoning models, often powered by large language models, are increasingly used to solve high-level problems in mathematics, scientific analysis, and code generation.

Despite recent progress in robotic control via large-scale vision-language-action (VLA) models, real-world deployment remains constrained by hardware and data requirements.