Scientists have developed a new approach to correcting common quantum computing errors, which could pave the way for more ...

Researchers have developed a powerful computational framework that shows how carefully optimized nanotube shapes can amplify ...

Abstract: The effective extraction of expert knowledge is paramount for ensuring reliable results in decision support systems, especially considering the complexities inherent in decision-making and ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

Researchers developed a machine-learning-guided technique to solve complex, long-horizon planning problems more efficiently than some traditional approaches, while arriving at an optimal solution that ...

Researchers at the Massachusetts Institute of Technology (MIT) have developed a new framework that harnesses large language models (LLMs) to tackle complex planning problems with unprecedented ...

Gary McLeod had always considered himself to be in good health. When he wasn’t riding a surfboard or a motorcycle, he could be found plying his trade as a professional glazier — a physically demanding ...