When trying to make a purchase with a shopping app, we may quickly browse the recommendation list while admitting that the machine does know about us -- at least, it is learning to do so. As an ...

Students will be able to analyze the computing and memory architecture of a super computing node and use OpenMP directives to improve vectorization of their programs. This module focuses on the key ...

Flow Computing is a pioneer in licensing on-die ultra-high-performance parallel computing solutions to CPU vendors of all architectures. And today the company is emerging from stealth with a funding ...

Increasingly complex applications such as artificial intelligence require ever more powerful and power-hungry computers to run. Optical computing is a proposed solution to increase speed and power ...

In a new paper, researchers from Tencent AI Lab Seattle and the University of Maryland, College Park, present a reinforcement learning technique that enables large language models (LLMs) to utilize ...

A technical paper titled “Scalable Automatic Differentiation of Multiple Parallel Paradigms through Compiler Augmentation” was published by researchers at MIT (CSAIL), Argonne National Lab, and TU ...

For NCI’s Prof Horacio González-Vélez, the challenge of computational science is building systems that are not only powerful, but keep up with the changing needs of science, industry and society.