The In-Memory Database Market is expanding as industries adopt high-speed, low-latency data processing, with the U.S. segment increasing from USD 5.27 billion in 2025E to USD 17.67 billion by 2033 ...

The company also will adapt its existing software products to take advantage of the HANA (high-performance analytic appliance) system SAP began selling in December. HANA is based on in-memory ...

TetraMem is a semiconductor startup based in Fremont, California. They utilize an in-memory computing (IMC) structure with proprietary computing memory device solutions to improve computing efficiency ...

A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...

Magneto-resistive random access memory (MRAM) is a non-volatile memory technology that relies on the (relative) magnetization state of two ferromagnetic layers to store binary information. Throughout ...

Until now, researchers have been limited in developing photonic memory for AI processing -- gaining one important attribute like speed while sacrificing another like energy usage. An international ...

In today’s technology-driven landscape in which reducing TCO is top of mind, robust data protection is not merely an option but a necessity. As data, both personal and business-specific, is ...

The Defense Advanced Research Projects Agency awarded Professor Jie Gu and co-PIs from the University of Minnesota and Duke University up to $3.8 million through the Scalable Analog Neural-networks ...

“As manufacturers begin to introduce commercially viable quantum computers that outperform classical counterparts and generate substantial revenue, they will begin to become targets for patent ...

For the first time, an international cadre of electrical engineers has developed a new method for photonic in-memory computing that could make optical computing a reality in the near future. Until now ...