The four faculty that assembled to explore artificial general intelligence represent multiple disciplines across UC San Diego ...

"There should be no routine, stereotyped training. Training must be problem-solving oriented. Each individual may be skilled in solving different problems, but others should learn from one who is ...

AI systems learn new tasks more effectively when internal self-talk helps keep goals clear and reuse past knowledge instead ...

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.

Abstract: Multi-machine collaboration in agricultural machinery is a key focus in current research, with task allocation being an indispensable component. However, the current optimization objectives ...

1 Faculty of Education, Open University of China, Beijing, China 2 Lifelong Education Research Institute, Open University of China, Beijing, China Introduction: The digital divide extends beyond ...

Abstract: The purpose of this study is to examine brain activities of participants solving mental math problems. The research investigated how problem difficulty affected the subjects' responses and ...

It took a series of aviation disasters for safety experts to realize the critical role of working memory when pilots and technicians juggle competing tasks. In some cases, technicians made apparently ...

This paper proposes an exploration-efficient deep reinforcement learning with reference (DRLR) policy framework for learning robotics tasks incorporating demonstrations. The DRLR framework is ...

Is It Safe To Clean Your Dishes The 'British Way'? Health Experts Explain Why Elon Musk says saving for retirement will be 'irrelevant' in the next 20 years The True Story Behind A Deadly American ...

Blake has over a decade of experience writing for the web, with a focus on mobile phones, where he covered the smartphone boom of the 2010s and the broader tech scene. When he's not in front of a ...