Researchers at Universidad Carlos III de Madrid (UC3M) have developed a new methodology for a robot to learn how to move its ...

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

If you're looking for a way to make your next get-together with family and friends more fun, engaging and even educational, ...

Across the country, states are passing new laws aimed at improving math teaching—mandating that schools intervene early to ...

Artificial intelligence has attained an impressive series of feats—solving problems from the International Math Olympiad, ...

Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the ...

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Mouse primary motor and somatosensory cortices contain detailed information about the many time-varying arm and paw joint angles during reaching and grasping, implying a 'low-level' role in ...

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

Abstract: A novel approach for the introduction of tightly focused Gaussian beams in finite-difference time-domain (FDTD) utilizing a seventh-order correction formula is proposed. The correction is ...

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