The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...

Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

They drew with crayons, possibly fed on maggots and maybe even kissed us: Forty millenniums later, our ancient human cousins ...

The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.

DeepSeek published a paper outlining a more efficient approach to developing AI, illustrating the Chinese artificial ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.

DeepSeek has released a new AI training method that analysts say is a "breakthrough" for scaling large language models.

Rapid global population aging is reshaping healthcare systems, with older adults accounting for an increasing share of disease burden, healthcare ...

Bibliometric analysis is crucial for evaluating scientific publications, traditionally relying on metrics like citation count ...