Google Research has unveiled Titans, a neural architecture using test-time training to actively memorize data, achieving effective recall at 2 million tokens.
With data volumes spiraling out of control, companies are searching for less expensive and more efficient storage technologies. The most common approaches for storing data have been with disk and ...
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 ...
A technical paper titled “Darwin: A DRAM-based Multi-level Processing-in-Memory Architecture for Data Analytics” was published by researchers at Korea Advanced Institute of Science & Technology (KAIST ...
Hazelcast Inc., a major provider of in-memory computing solutions, today launched a managed cloud version of its flagship product created specifically to support off-premises workloads. Hazelcast ...
A new technical paper titled “Toward Single-Cell Multiple-Strategy Processing Shift Register Powered by Phase-Change Memory Materials” was published by researchers at Singapore University of ...
Financial services companies in the capital markets face three major application performance challenges. They must squeeze value from every ounce of soaring amounts of data. They must handle an ...
This month's Non-Volatile Memory Workshop (NVMW '17) has concluded, and it was truly a mind-expanding program, in more ways than one. Case in point: Stanford Professor H.S. Philip Wong presented The ...
Data scientists today face a perfect storm: an explosion of inconsistent, unstructured, multimodal data scattered across silos – and mounting pressure to turn it into accessible, AI-ready insights.
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