65 h. ago China’s Z.ai Debuts First Major Model Trained Fully on Huawei’s AI Chip Stack

China’s Z.ai Debuts First Major Model Trained Fully on Huawei’s AI Chip Stack  eWeek

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3 d. ago China's Z.ai claims it trained a model using only Huawei hardware

China's Z.ai claims it trained a model using only Huawei hardware  theregister.com

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3 d. ago Zhipu AI breaks US chip reliance with first major model trained on Huawei stack

Chinese artificial intelligence firm Zhipu AI said its new image generation model was trained on chips from Huawei Technologies, making it the first powerful open-source model to be developed on an entirely domestic training stack. The Beijing-based company, fresh off its Hong Kong initial public offering, said on Wednesday that the achievement proved the feasibility of developing powerful multimodal models without US semiconductors, as Beijing pushes for self-reliance in China’s AI industry...

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3 d. ago China’s Zhipu Unveils New AI Model Trained on Huawei’s Chips

China’s Zhipu Unveils New AI Model Trained on Huawei’s Chips  Bloomberg.com

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4 d. ago DeepSeek founder’s latest paper proposes new AI model training to bypass GPU limits

A technical paper co-authored by Liang Wenfeng, the founder of Chinese artificial intelligence start-up DeepSeek, and a group of Peking University researchers has proposed a new model training technique, which they say can facilitate “aggressive parameter expansion” by bypassing graphics processing unit (GPU) memory constraints. The development underscores the Hangzhou start-up’s continued focus on maximising cost efficiency amid a deficit in computational power relative to US industry leaders,...

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5 d. ago DeepSeek Founder Liang’s Funds Surge 57% as China Quants Boom

DeepSeek Founder Liang’s Funds Surge 57% as China Quants Boom  Bloomberg.com

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1 week ago DeepSeek pitches new route to scale AI, but researchers call for more testing

DeepSeek’s proposed “mHC” architecture could transform the training of large language models (LLMs) – the technology behind artificial intelligence chatbots – as developers look for ways to scale models without simply adding more computing power. However, experts cautioned that while the approach could prove far-reaching, it might still prove difficult to put into practice. In a technical paper released last week, co-authored by DeepSeek founder and CEO Liang Wenfeng, the company proposed...

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2 w. ago Tech war: China takes confident strides to develop more AI innovation in 2026

On the last day of 2025, DeepSeek published a new technical paper, with founder and CEO Liang Wenfeng among the 19 co-authors, about “manifold-constrained hyper-connections” – a general framework for training artificial intelligence systems at scale, which suggested “promising directions for the evolution of foundational models”. That release was a fitting reminder to the world, especially during the peak of the Christmas holiday season, about Chinese AI companies’ sharpened focus on innovation...

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2 w. ago 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 game changer in developing artificial intelligence models, as it could translate into improvements in the fundamental architecture of machine learning. The paper’s theme of Manifold-Constrained Hyper-Connections (mHC) marks an improvement to conventional hyper-connections in residual networks (ResNet), a fundamental mechanism underlying large language models (LLMs),...

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2 w. ago DeepSeek kicks off 2026 with paper signalling push to train bigger models for less

Chinese artificial intelligence start-up DeepSeek has ushered in 2026 with a new technical paper, co-authored by founder Liang Wenfeng, that proposes a rethink of the fundamental architecture used to train foundational AI models. The method – dubbed Manifold-Constrained Hyper-Connections (mHC) – forms part of the Hangzhou firm’s push to make its models more cost-effective as it strives to keep pace with better-funded US rivals with deeper access to computing power. It also reflected the...

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2 w. ago XPeng and Peking University Paper Accepted to AAAI 2026, Proposing Efficient On

XPeng and Peking University Paper Accepted to AAAI 2026, Proposing Efficient On-Vehicle Large Model Deployment  Pandaily

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