eWeek

Math-etic! GPT-5’s Math ‘Breakthrough’ Gets F-Minus for Hype

OpenAI researchers prematurely celebrated on social media, announcing that the AI had solved a series of famously difficult ...

Algorithm precisely quantifies flow of information in complex networks

Networks are systems comprised of two or more connected devices, biological organisms or other components, which typically ...

When mathematics meets aesthetics: Tessellations as a precise tool for solving complex problems

In a recent study, mathematicians from Freie Universität Berlin have demonstrated that planar tiling, or tessellation, is ...
Scientific American

Prime Numbers Show Unexpected Patterns of Fractal Chaos

Montgomery happened to find strikingly similar behavior in the prime numbers— specifically, the correlations between the ...
NewsNation

Inside America’s nuke-proof military bunker in a mountain

Want to see more of NewsNation? Get 24/7 fact-based news coverage with the NewsNation app or add NewsNation as a preferred source on Google! The Cheyenne Mountain Complex, NORAD’s classified command ...
C&EN

Efficient and Parallel Implementation of Real and Complex Response Functions Employing the Second-Order Algebraic-Diagrammatic Construction Scheme for the Polarization Propagator

Division of Theoretical Chemistry and Biology, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm SE-100 44, Sweden ...
IEEE

Federated Scientific Machine Learning for Approximating Functions and Solving Differential Equations With Data Heterogeneity

Abstract: By leveraging neural networks, the emerging field of scientific machine learning (SciML) offers novel approaches to address complex problems governed by partial differential equations (PDEs) ...