By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Jeffrey Kohn believes creators should operate like Fortune 100 companies. “To achieve long-term predictable success in any ...

Your brain calculates complex physics every day and you don't even notice. This neuromorphic chip taps into the same idea.

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 ...

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

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

Abstract: Metaheuristic algorithms have demonstrated strong effectiveness in solving complex real-world optimization problems. This paper presents two discrete metaheuristic approaches for the ...

We've all heard the best approach to solve a problem is to "sleep on it." It turns out there may be more truth to this adage ...

Abstract: With increasing complex workflow application and computational resources requirement, distributed computing has attracted growing attention. Meanwhile, cloud computing has emerged as a ...

Learn a clear, step-by-step approach to solving coding problems—from understanding the prompt and planning an algorithm to writing clean code and testing edge cases. These practical problem-solving ...