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 ...

Researchers have developed a hybrid CFD-neural network model for predicting TAIs in hydrogen-fueled turbines, improving ...

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 ...

The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical challenges in steelmaking processes.

A new computational approach developed at the University of Chicago promises to shed light on some of the world's most puzzling materials—from high-temperature superconductors to solar cell ...

Mayo Clinic researchers have developed and evaluated MedEduChat, an electronic health record (EHR) that works with a large ...

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

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.

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

Ayyoun is a staff writer who loves all things gaming and tech. His journey into the realm of gaming began with a PlayStation 1 but he chose PC as his platform of choice. With over 6 years of ...