The internet, social media, and digital technologies have completely transformed the way we establish commercial, personal and professional relationships. At its core, this society relies on the ...

Most of the energy an AI chip burns never goes toward actual computation. It goes toward moving data: shuttling model weights and activations back and forth between memory banks and processing cores ...

In a development for artificial intelligence, researchers have unveiled a synaptic device array that shows promise for ...

For decades, compute architectures have relied on dynamic random-access memory (DRAM) as their main memory, providing temporary storage from which processing units retrieve data and program code. The ...

The big picture: If successfully scaled to industrial production, these chips could extend Moore's Law into the atomic domain by enabling far greater component density without incurring unsustainable ...

TOKYO--(BUSINESS WIRE)--Kioxia Corporation, a world leader in memory solutions, today announced that it has begun sampling (1) new Universal Flash Storage (2) (UFS) Ver. 4.1 embedded memory devices ...

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. The team ...

In popular media, “AI” usually means large language models running in expensive, power-hungry data centers. For many applications, though, smaller models running on local hardware are a much better ...

What are the current challenges involved with incorporating sufficient HBM into multi-die design? How a new interconnect technology can address the performance, size, and power issues that could ...

An increasing percentage of the chip area is consumed by the same amount of SRAM for each node shrink. The problem is not limited to leading-edge AI, as it will eventually impact even small MCUs and ...