CAMBRIDGE, England & SANTA CLARA, Calif.--(BUSINESS WIRE)--Blueshift Memory, designer of a novel proprietary high-speed memory architecture, has announced that the Cambridge Architecture™ has been ...
AMD is set to double DDR5 memory speeds with a new high-bandwidth architecture, pushing the limits of performance in gaming ...
Artificial intelligence computing startup D-Matrix Corp. said today it has developed a new implementation of 3D dynamic random-access memory technology that promises to accelerate inference workloads ...
Large language models are 1D models, they understand text. Temporal computing is making Artificial intelligence (AI) to understand the concept of time. Artificial intelligence (AI) memory systems are ...
Scientists at Monash University have created a tiny fluid-based chip that behaves like neural pathways of the brain, ...
Smart memory node device from UniFabriX is designed to accelerate memory performance and optimize data-center capacity for AI workloads. Israeli startup UniFabriX is aiming to give multi-core CPUs the ...
Neo Semiconductor has announced the world’s first 3D stackable DRAM technology, called 3D X-DRAM, that could revolutionize computer memory. Neo estimates 3D X-DRAM can achieve 128Gb density with 230 ...
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 ...
TOKYO--(BUSINESS WIRE)--Kioxia Corporation, a world leader in memory solutions, today announced the development and prototype demonstration of its new KIOXIA CM9 Series PCIe ® 5.0 NVMe™ SSDs. These ...
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Scientists build first in-memory sorting chip without comparators
A new computing era arrives with the breakthrough in how computers can sort information. This vital function, at the heart of ...
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New framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysis
BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...
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