DeepSeek is an AI platform based on deep learning and natural language processing, featuring core products DeepSeek-R1 and DeepSeek-V3 models. Using efficient Mixture of Experts (MoE) architecture ...

DeepSeek's success has already been noticed in China's top political circles. On 20 January, the day DeepSeek-R1 was released to the public, founder Liang attended a closed-door symposium for ...

But DeepSeek’s engineers said they needed only about $6 million in raw computing power to train their new system. That was roughly 10 times less than what Meta spent building its latest AI ...

Medicine: Deepseek AI accelerates drug discovery by simulating molecular interactions, predicting treatment outcomes, and identifying potential therapeutic targets.

DeepSeek-R1’s standout feature is its ability to decompose complex problems using chain-of-thought (CoT) reasoning, reinforced by a multi-stage training pipeline. This includes pretraining on diverse ...

As of early March, at least 300 hospitals in China have started using DeepSeek’s large language models (LLMs) in clinical diagnostics and medical decision support.

As of early March, at least 300 hospitals in China have started using DeepSeek's large language models (LLMs) in clinical diagnostics and medical decision support.

Lee explains that it costs around $5.6m to train DeepSeek’s V3 model, which is the precursor model to R1. To compare, it is estimated that Meta’s Llama 3.1 costs more than $90m to train while ...

As of early March, at least 300 hospitals in China have started using DeepSeek’s large language models (LLMs) in clinical diagnostics and medical decision support.