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 ...

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 ...

DeepSeek’s New Architecture Can Make AI Model Training More Efficient and Reliable

DeepSeek, the Chinese artificial intelligence (AI) startup, that took the Silicon Valley by storm in November 2024 with its ...

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 ...
WinBuzzer

DeepSeek Unveils ‘mHC’ Architecture to Fix AI Training Instability Amid Chip Bans

DeepSeek has introduced Manifold-Constrained Hyper-Connections (mHC), a novel architecture that stabilizes AI training and ...
VentureBeat

Sakana introduces new AI architecture, ‘Continuous Thought Machines’ to make models ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Tokyo-based artificial intelligence startup ...
Semiconductor Engineering

HW and SW Architecture Approaches For Running AI Models

How best to run AI inference models is a current topic of much debate as a wide breadth of systems companies look to add AI to a variety of systems, spurring both hardware innovation and the need to ...