Abstract: This study, conducted in the Differential Equations Analysis course (MA1033) at Tecnologico de Monterrey, applied supervised learning, reinforcement learning, and experiential learning ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...

This psychology-based problem-solving quiz reveals whether you solve problems through logical analysis, gut instinct, ...

Lance Fortnow on the current status and future outlook of solving the P-NP problem.

Xingjie Ni, associate professor of electrical engineering at Penn State, and his team recently developed a new device that can accelerate and dramatically reduce the energy cost of AI computation, ...

For many years, the idea that “sleeping on it” would provide an individual with some time in which their subconscious mind would work through a problem or problems has generally been accepted as ...

For decades, the solution to harder problems has been ‘build a bigger computer’— but ...

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.

Mathematicians finally understand the behavior of an important class of differential equations that describe everything from ...

Abstract: This article proposes an asynchronous gain-scheduling secure control framework for nonlinear cyber-physical systems subject to complex and uncertain mode transition behaviors. To address the ...