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 ...

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.

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

The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...

A first-of-its-kind national trial shows that public Montessori preschool students enter kindergarten with stronger reading, ...

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

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

Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and ...

For more than 50 years, scientists have sought alternatives to silicon for building molecular electronics. The vision was ...

Trying to layer AI on top of monolithic systems results in high latency and skyrocketing compute costs, effectively killing ...

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...