Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

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 ...

Researchers have found a new approach to finding shortest paths, but it's complex Systems Approach Last year a couple of ...

Mohanty and a multi-institution team demonstrated a fast, explicit approach to constructing lossless vertex expansion networks.

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

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.

Researchers say that the recommendation algorithm published by X doesn't offer the kind of transparency that would actually ...

Abstract: This study presents an innovative approach for optimizing real-time energy market trading strategies by integrating Proximal Policy Optimization (PPO) with Quantum Annealing (QA). The ...

Abstract: This research develops, compares, and analyzes both a traditional algorithm using computer vision and a deep learning model to deal with dynamic road conditions. In the final testing, the ...