Rochester Institute of Technology

Engineering faculty awarded NSF funding to improve computing system memory

Dorin Patru and Linlin Chen, faculty-researchers at Rochester Institute of Technology, received a grant from the National Science Foundation to upgrade functions of programmable memory. The research ...

Atom-thin, content-addressable memory enables edge AI applications

Recent advances in the field of artificial intelligence (AI) have opened new exciting possibilities for the rapid analysis of ...
Semiconductor Engineering

AI Memory: Enabling The Next Era Of High-Performance Computing

The rapid advancement of artificial intelligence (AI) is driving unprecedented demand for high-performance memory solutions. AI-driven applications are fueling significant year-over-year growth in ...
Digi Times

Micron sampling MRDIMMs for AI and HPC

Micron Technology has disclosed that it is currently conducting sampling of its Multiplexed Rank Dual Inline Memory Modules (MRDIMM) for memory-intensive applications, including AI and HPC. Micron ...