From being the "gifted" kid who lived in books to the adult who can solve complex problems but can't read a room—the journey ...

New research shows that advances in technology could help make future supercomputers far more energy efficient. Neuromorphic computers are modeled after the structure of the human brain, and researche ...

Abstract: In this work, we propose a complex-valued neural operator (CV-NeuralOp) based on graph neural networks (GNNs) to solve 2-D wave equations. Inspired by Green’s function method for solving ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...

More than a century after Srinivasa Ramanujan scribbled his astonishing formulas for π in notebooks in India and England, physicists are finding that those same equations describe how nature behaves ...

The New York State Education Department is pushing new math guidelines, including a recommendation that teachers stop giving timed quizzes — because it stresses students out. The new guidelines also ...

Real-world digital signals and their channels are characterized by complex equations that lead to improved link performance. When engineers think or talk about digital signals, there’s often the sense ...

The team has improved the capabilities of physics-informed neural networks (PINNs), a type of artificial intelligence that incorporates physical laws into the learning process. Researchers from the ...

A paper from researchers at hedge fund AQR Capital Management and Yale University addresses one of the most important questions in finance: Will artificial intelligence and machine learning replace ...

The control of small structures and fast modes needs not only more accurate values in the commonly used dimensions (, u, T, P), but also, in fact more essentially, the controls from more dimensions.