DeepSeek’s latest training research arrives at a moment when the cost of building frontier models is starting to choke off ...

Training large AI models has become one of the biggest challenges in modern computing—not just because of complexity, but ...

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...

The future of AI depends on systems that can earn trust—not with marketing slogans, but with technical rigor. That future is ...

In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.

While AI models may exhibit addiction-like behaviors, the technology is also proving to be a powerful ally in combating real ...

讲座题目：Pre-trained Surrogate Models in A Multiscale Computational Homogenization Framework 个人简介： ...

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 ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Hall, a 2024 graduate, has long been fascinated by the brain-body connection. As an undergraduate, she studied the impact ...

NitroGen includes a universal simulator with 30 tasks from 10 games, helping you test transfer quickly and tune new titles ...