Microsoft-backed (NASDAQ: MSFT) semiconductor company d-Matrix on Nov. 12 announced it raised $275 million while claiming its artificial intelligence chips outperform graphics processing units-based ...
D-Matrix Corp., a Microsoft Corp.-backed AI chip startup, raised $275 million from new investors including Qatar Investment Authority and Singapore’s EDBI, valuing the company at $2 billion. The ...
TL;DR: Skala is a deep-learning exchange–correlation functional for Kohn–Sham Density Functional Theory (DFT) that targets hybrid-level accuracy at semi-local cost, reporting MAE ≈ 1.06 kcal/mol on W4 ...
CRANBURY, N.J., Sept. 15, 2025 /PRNewswire/ -- Visionet has been recognized as a Star Performer and Major Contender in Everest Group's Microsoft Business Applications Services PEAK Matrix® Assessment ...
The first release candidate (RC0) of SQL Server 2025 is now available. As we move toward general availability, our focus shifts to delivering enhanced stability, performance, and product improvements ...
China’s Huawei Technologies Co. Ltd. threw down the gauntlet to Nvidia Corp. Saturday when it revealed its most powerful artificial intelligence server system to date. The company unveiled the ...
WASHINGTON/LONDON, July 21 (Reuters) - A sweeping cyber espionage operation targeting Microsoft (MSFT.O), opens new tab server software compromised about 100 organizations as of the weekend, two of ...
Abstract: This article introduces TBF-CM, a transformer-based beamforming framework that leverages correlation matrix data. The core contribution is a transformer-based neural network (TNN) designed ...
Today is Microsoft's July 2025 Patch Tuesday, which includes security updates for 137 flaws, including one publicly disclosed zero-day vulnerability in Microsoft SQL Server. This Patch Tuesday also ...
A hybrid Kohn–Sham Density Functional Theory (KS-DFT) and 1-electron Reduced Density Matrix Functional Theory (1-RDMFT) has recently been developed to describe strongly correlated systems at ...
Abstract: Among statistical methods used in data analysis processes, correlation analysis holds one of the most significant places. Using correlation, analysts measure prediction potential between ...
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