The ability of super chips to perform training and inference on future AI models requires improved memory systems that can ...

Intel has unveiled its Crescent Island data center GPU for inference, built on the Xe3P architecture and equipped with 160 GB ...

In recent decades, computer scientists have been developing increasingly advanced machine learning techniques that can learn to predict specific patterns or effectively complete tasks by analyzing ...

Large Language Model (LLM) inference faces a fundamental challenge: the same hardware that excels at processing input prompts ...

Neo Semiconductor X-HBM architecture will deliver 32K-bit wide data bus and potentially 512 Gbit per die density. It offering 16X more bandwidth or 10X higher density than traditional HBM. NEO ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Researchers at Mem0 have introduced two new ...

The Fourth GMIF2025 Innovation Summit (Global Memory Innovation Forum) was successfully concluded recently in Shenzhen. Under ...

A new technical paper titled “New Tools, Programming Models, and System Support for Processing-in-Memory Architectures” was published by researchers at ETH Zurich. “Our goal in this dissertation is to ...

Content Addressable Memory (CAM) architectures provide a powerful approach to high-speed data searches by comparing search data against an entire memory in parallel, rather than relying on sequential ...

SUNNYVALE, Calif., June 10, 2025 (GLOBE NEWSWIRE) -- AI has a memory problem. Traditional SRAM and DRAM were never designed to meet the scale and intensity of today’s AI workloads – and their ...

LA JOLLA, CA – Using cutting-edge genetic tools, 3D electron microscopy, and artificial intelligence, Scripps Research scientists and colleagues have uncovered key structural hallmarks of long-term ...