Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...
Baidu's ERNIE-5.0-0110 ranks #8 globally on LMArena, becoming the only Chinese model in the top 10 while outperforming ...
DeepSeek founder Liang Wenfeng has published a new paper with a research team from Peking University, outlining key technical ...
A new technical paper titled “Solving sparse finite element problems on neuromorphic hardware” was published by researchers ...
Why pay more for the same specs? In the ever-evolving world of AI hardware, where performance and efficiency reign supreme, it’s not uncommon to see devices with nearly identical specifications priced ...
What does it take to outshine giants in the fiercely competitive world of artificial intelligence? For years, proprietary systems like GPT-5 and Gemini Pro have dominated the landscape, setting ...
OpenAI experiment finds that sparse models could give AI builders the tools to debug neural networks
OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier to understand, debug, and govern. Sparse models can provide enterprises ...
Department of Cell and Developmental Biology, Vanderbilt University, Nashville, Tennessee 37232, United States Mass Spectrometry Research Center, Vanderbilt University, Nashville, Tennessee 37232, ...
DeepSeek-V3.2-Exp Launches with Sparse Attention for Faster AI Model Training and 50% API Price Drop
According to DeepSeek (@deepseek_ai), the company has launched DeepSeek-V3.2-Exp, an experimental AI model built on the V3.1-Terminus architecture. This release introduces DeepSeek Sparse Attention ...
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