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 ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

By explicitly modeling each step of a problem and gradually fading away supports, teachers can give students a clear path to mastering new content.

One would imagine that an AI capable of solving the hardest Olympiad problems would naturally produce novel scientific ...

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

A Cornell University fellow develops strategies to extract more than correlations from algorithms’ predictions.

Estimating the number of triangles in a graph is a fundamental problem and has found applications in many fields. This ...

A simple and efficient method to integrate the Solvecaptcha captcha-solving service into your code, enabling the automation of solving various types of captchas. Examples of API requests for different ...

A production-ready distributed rate limiter supporting five algorithms (Token Bucket, Sliding Window, Fixed Window, Leaky Bucket, and Composite) with Redis backing for high-performance API protection.

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

TikTok explains issues with its algorithm. TikTok users in the U.S. reported feed and content issues over the weekend. Issues followed the creation of a separate U.S. TikTok entity, as ...

Practice projectile motion with fully solved physics problem examples. This video walks through step-by-step solutions to help you understand equations, motion components, and problem-solving ...