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.

Due to the overwhelming technical advantages of having on-chip memories, embedded memories are ubiquitous in most chip designs, and can comprise significant portions of a chip (upwards of 50%, ...

The International Electron Devices Meeting (IEDM) held Dec. 2-6, 2017, in San Francisco offered imec and Leti an opportunity to disclose several innovations. imec announced three new developments: ...

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 ...

Sunnyvale, Calif. — Startup Novelics calls its menu of embedded memory options sufficient to meet the needs of almost all ASIC designers, eliminating the need to work with multiple suppliers of memory ...

For applications where performance is of primary importance, designers have traditionally chosen SRAM technology over DRAM. Although commodity DRAM offers much higher density and a lower cost per bit, ...

Dynamic random access memory (DRAM) stores data in a capacitor. These capacitors leak charge so the information fades unless the charge is refreshed periodically. Because of this refresh requirement, ...

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 ...