By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

Chinese AI company Deepseek has unveiled a new training method, Manifold-Constrained Hyper-Connections (mHC), which will make it possible to train large language models more efficiently and at lower ...

NIMS, in joint research with the University of Tokyo, AIST, the University of Osaka, and Tohoku University, have proposed a ...

Vladimir Putin chaired a meeting to discuss the key parameters of the draft State Armament Programme for 2027–2036 and the ...

Teijin is evaluating the effectiveness of Circularise’s Digital Product Passports through simulation in complying with the EU ...

Pharmaceutical Separation Science Session Day two of HPLC 2025 concluded with a session on pharmaceutical separations chaired ...

There are over 36,500 pieces of space debris of larger than 10 cm in orbit according to statistical model orbit provided by ...

Notably, the paper also includes simulation studies outlining when dDRTC is most effective, positioning it as a practical ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Alberta Innovates, as part of its new research center, commissioned and installed Harper’s carbonization line with 3 ...

While BMI and total body fat percentage are important parameters, there is another more important metabolic marker which can ...

Co-authored by founder Liang Wenfeng, the paper illustrates the Chinese AI industry’s effort to compete with the likes of OpenAI despite a lack of free access to Nvidia Corp chips.