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 ...

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 ...

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 ...

Abstract: Within a short period, the growth of wireless devices which relies on corporate networks; the type of bandwidth and the use of connection sensitive applications are multiplying. The Major ...

Have a problem with many competing variables? Why not solve it with a computer algorithm based on cooling metal? Hosted by: Hank Green Huge thanks go to the following Patreon supporters for helping us ...

Abstract: With the deep integration of computer vision and mixed reality technology, building high-precision and low-latency simulation systems has become a current research hotspot. This paper ...