Machine learning (ML), a subset of artificial intelligence (AI), has become integral to our lives. It allows us to learn and reason from data using techniques such as deep neural network algorithms.

At the recent 2020 International Electron Devices Meeting (IEDM), Imec presented a paper on a novel capacitor-less DRAM cell architecture. DRAM is used for main memory in systems, and today’s most ...

Jun'ya Tsutsumi (Researcher), Tatsuo Hasegawa (Principal Research Manager), and others of the Flexible Materials Base Team, the Flexible Electronics Research Center (Director: Toshihide Kamata), the ...

PLANO, Texas--(BUSINESS WIRE)-- Diodes Incorporated (Diodes) (Nasdaq: DIOD) has introduced a new transistor array. The DIODES™ ULN62003A consists of seven 500mA-rated open-drain transistors, where all ...

DRAM makes up the bulk of non-volatile memory in computer systems. Much has been done lately to mix non-volatile storage with DRAM. However, DRAM’s performance and capacity still win out when it comes ...

Researchers are zeroing in on new architectures to boost performance by limiting the movement of data in a device, but this is proving to be much harder than it appears. The argument for memory-based ...

Real-time as well as store & forward on-board processing applications are increasingly requiring larger amounts of fast on-board storage, and the choice of memory technology has a major impact on ...

Spin Memory, a magnetic random-access memory (MRAM) startup announced a new semiconductor technology that could allow a dramatic improvement in DRAM as well as emerging memory technologies, such as ...