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 ...

Access to blood transfusions emerged as the most highly valued service, with a mean standardised importance score of 20.53.

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

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.

Neoantigens are unique markers that distinguish only cancer cells. By adding B cell reactivity, cancer vaccines can move ...

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

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

Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...

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.