The use of machine learning (ML) and artificial intelligence (AI) in power converters represents the latest development in ...

NEW YORK, NY, UNITED STATES, March 17, 2026 /EINPresswire.com/ -- In the contemporary digital ecosystem, establishing a ...

Abstract: Parallel Bayesian optimization is crucial for solving expensive black-box problems, yet batch acquisition strategies remain a challenge. To address this, we propose a novel parallel ...

Executive Summary - Artificial intelligence has moved from research laboratories into deployed defense systems: autonomous ...

A Google-led research team has demonstrated a surface-code logical qubit operating below the error-correction threshold, ...

When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial.

On the post-quantum side, Cryptolib now includes hardware-accelerated implementations of three families of NIST-standardized PQC algorithms: ML-KEM, ML-DSA, and SLH-DSA. The SLH-DSA (SPHINCS+) ...

Abstract: In this article, an adaptive accelerated derivative-free optimization algorithm is developed. A composition of noncommutative maps based on objective function evaluations is used to ...