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

Architectural design has always been a balance between creativity, technical precision, and efficiency. However, traditional ...

Despite the unique ideological and political advantages of the “Aircraft Power Supply System” course, there are still some deep-seated problems that urgently need to be solved in the current teaching ...

There are "costs of life" that mechanical physics cannot calculate. A clear example is the energy required to keep specific ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

Collagen is the most abundant protein in the human body and has an important role in healthy tissue as well as in a range of prevalent diseases. Medical research and diagnostics hence call for means ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Abstract: This letter considers the algorithm design and convergence analysis for the non-smooth convex-concave saddle point problem (CCSPP) with a bilinear coupling term. By using a ...

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

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

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 ...

China’s DeepSeek has published new research showing how AI training can be made more efficient despite chip constraints.