By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...

Skipping traditional retirement plans? A self-made millionaire shares three alternative strategies that helped build ...

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.

Chinese AI company Deepseek has unveiled a new training method, Manifold-Constrained Hyper-Connections (mHC), which will make it possible to train large language models more efficiently and at lower ...

DeepSeek has published a technical paper co-authored by founder Liang Wenfeng proposing a rethink of its core deep learning ...

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

DeepSeek published a paper outlining a more efficient approach to developing AI, illustrating the Chinese artificial intelligence industry’s effort to compete with the likes of OpenAI despite a lack ...

This forecasting study analyzes the impact of the Inflation Reduction Act (IRA) on diabetes drug costs for Medicare in Louisiana, USA. It finds that price negotiations for three non-insulin drugs are ...

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