DeepSeek develops mHC AI architecture to boost model performance

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 ...

DeepSeek proposes shift in AI model development with 'mHC' architecture to upgrade ResNet

DeepSeek's latest technical paper, co-authored by the firm's founder and CEO Liang Wenfeng, has been cited as a potential ...
Analytics India Magazine

New DeepSeek Research Shows Architectural Fix Can Boost Reasoning at Scale

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

DeepSeek Reveals R1 Model Architecture Secrets Ahead of V4 Model Launch

DeepSeek has expanded its R1 whitepaper by 60 pages to disclose training secrets, clearing the path for a rumored V4 coding ...

DeepSeek kicks off 2026 with paper signalling push to train bigger models for less

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

New transformer architecture can make language models faster and resource-efficient

Large language models like ChatGPT and Llama-2 are notorious for their extensive memory and computational demands, making them costly to run. Trimming even a small fraction of their size can lead to ...