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

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.

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

DeepSeek has released new research showing that a promising but fragile neural network design can be stabilised at scale, ...

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 researchers have developed a technology called Manifold-Constrained Hyper-Connections, or mHC, that can improve the performance of artificial intelligence models. The Chinese AI lab debuted ...

The paper comes at a time when most AI start-ups have been focusing on turning AI capabilities in LLMs into agents and other ...

China’s DeepSeek has published new research showing how AI training can be made more efficient despite chip constraints.

DeepSeek has introduced a new architecture, Manifold-Constrained Hyper-Connections (mHC), designed to enhance the efficiency and reliability of training large AI models.

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Chinese AI and semiconductor stocks have rallied since the breakout of the China-made DeepSeek-R1 AI model in January 2025.