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 ...

SHENZHEN, China, Jan. 06, 2026 (GLOBE NEWSWIRE) -- Aurora Mobile Limited (NASDAQ: JG) ("Aurora Mobile" or the "Company"), a ...

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 ...

Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...

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 ...

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

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 ...

Abstract: Accurate parameter estimation of linear frequency modulation (LFM) pulses is important for passive radar detection. However, due to the increasingly complex electromagnetic environment, the ...