A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure within the theory of finite groups. By training neural networks to recognise ...

Quantum computing is moving from lab curiosity to practical tool far faster than most people realize, and the shift could ...

NEW YORK, Nov. 03, 2025 (GLOBE NEWSWIRE) -- Today, CEO Dan Herbatschek of Ramsey Theory Group (RTG), a leading provider of applied artificial intelligence solutions for operational transformation, ...

REPRESENTATION theory is a subject of many aspects, having important contacts with several branches of mathematics and mathematical physics. Even if text-books were much commoner than they are, there ...

In the period just before Paris was liberated from German occupation by the Allied armies, French philosophy blossomed. Jean-Paul Sartre’s Being and Nothingness appeared in 1943, and soon Simone de ...

Physics is the search for and application of rules that can help us understand and predict the world around us. Central to physics are ideas such as energy, mass, particles and waves. Physics attempts ...

Abstract: Complex evidence theory (CET), an extension of the traditional D-S evidence theory, has garnered academic interest for its capacity to articulate uncertainty through complex basic belief ...

Abstract: The increasing reliance on numerical methods for controlling dynamical systems and training machine learning models underscores the need to devise algorithms that dependably and efficiently ...

Introduction: Sudden cardiac death (SCD) is a leading contributor to cardiovascular mortality in women, yet long-term trends have been understudied particularly across menopausal transitions and ...

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