Science Daily

Brain inspired machines are better at math than expected

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 ...

This MIT grad built an AI tool to show how hard Olympic figure skating actually is

At the 2026 Winter Games in Milan and Cortina, Italy, NBC is using an AI tool developed by a former MIT researcher to help audiences understand just how mind-boggling the feats of today’s Olympic ...

AI captures particle accelerator behavior to optimize machine performance

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 ...
IEEE

Graph Neural Network With Hessian-Based Locally Linear Embedding for Cancer Metastasis Analysis in Lymph Nodes Using DeepLab Segmentation

Abstract: Breast cancer patients could benefit greatly from an automatic diagnosis of metastases in lymph nodes. In clinical settings, where whole-slide images of histological lymph nodes are involved ...
IEEE

SmartMap: Architecture-Agnostic CGRA Mapping Using Graph Traversal and Reinforcement Learning

Abstract: Coarse-Grained Reconfigurable Architectures (CGRAs) have been the subject of extensive research due to their balance between performance, energy efficiency, and flexibility. CGRAs must be ...