A new technical paper titled “Enabling Physical AI at the Edge: Hardware-Accelerated Recovery of System Dynamics” was ...
DeepSeek has released new research showing that a promising but fragile neural network design can be stabilised at scale, ...
The study introduces the concept of algorithmization to describe how organizations can be transformed into federated ...
Chinese artificial intelligence start-up DeepSeek has ushered in 2026 with a new technical paper, co-authored by founder ...
The paper comes at a time when most AI start-ups have been focusing on turning AI capabilities in LLMs into agents and other ...
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’s proposed ‘mHC’ design could change how AI models are trained, but experts caution it still needs to prove itself ...
Sandia National Labs today released an update on its neuromorphic computing research. Inspired by the architecture of the ...
China’s DeepSeek has published new research showing how AI training can be made more efficient despite chip constraints.
DeepSeek has released a new AI training method that analysts say is a "breakthrough" for scaling large language models.
Bernice Asantewaa Kyere on modeling that immediately caught my attention. The paper titled “A Critical Examination of Transformational Leadership in Implementing Flipped Classrooms for Mathematics ...
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