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 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’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 ...
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 ...

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 ...
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 ...
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 ...
VentureBeat

A new paradigm for AI: How 'thinking as optimization' leads to better general-purpose models

Researchers at the University of Illinois Urbana-Champaign and the University of Virginia have developed a new model architecture that could lead to more robust AI systems with more powerful reasoning ...