High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers continually ...

As Transformer models continue to grow in size and complexity, numerous high-fidelity pruning methods have been proposed to mitigate the increasing parameter count. However, transforming these ...

What is the minimal number of residue types required to form a structured protein? This question is important for understanding protein modeling and design. Recently, an experimental finding by Baker ...

Abstract: Evolutionary multi-task optimization is an emerging research topic in the field of evolutionary computation. It aims to achieve simultaneous optimization of different tasks by dynamically ...

Abstract: General sparse matrix-matrix multiplication (SpGEMM) is a fundamental computational method with wide-ranging applications in scientific simulations, machine learning, and image processing.

The federal government has just undergone one of the sharpest staff contractions in its modern history, and Elon Musk is ...

Background Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality with limited therapeutic options. Despite ...

Black Shark Confirms Participation in CES 2026. SHENZHEN, CHINA / ACCESS Newswire / December 27, 2025 / The 59th Consumer ...

Inductively Coupled Plasma Mass Spectrometry (ICP-MS) remains one of the most powerful analytical tools for trace element and isotope analysis.

Blood-based Biomarker for Alzheimer’s Disease Market to reach US$ 554.2 Mn by 2035 at 14.3% CAGR, driven by demand for ...

Explore Deloitte’s 2026 Manufacturing Outlook and discover how U.S. construction and industrial companies can leverage AI, ...

Can a thought-controlled wheelchair or robotic dog become as second nature to control as the movement of one’s legs and arms?