Artificial intelligence chip developers SK hynix and TetraMem have demonstrated a new memory-centric processor ...

Conventional computers process and store information using separate components, known as a processor and memory unit. Because ...

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 ...

Scholars at the School of Engineering of the Hong Kong University of Science and Technology (HKUST) have unveiled an innovation that brings artificial intelligence (AI) closer to quantum ...

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 ...

We all know AI has a power problem. On the whole, global AI usage already drew as much energy as the entire nation of Cyprus did in 2021. But engineering researchers at the University of Minnesota ...

In-memory computing (IMC) has had a rough go, with the most visible attempt at commercialization falling short. And while some companies have pivoted to digital and others have outright abandoned the ...

The rapid advancement of artificial intelligence (AI) is driving unprecedented demand for high-performance memory solutions. AI-driven applications are fueling significant year-over-year growth in ...

But shuttling data between the processor and memory eats up time and energy, particularly for data-hungry artificial-intelligence (ai) models. An analysis by Amir Gholami and colleagues at the ...

TL;DR: SK hynix and TetraMem developed an analog in-memory computing chip that processes AI tasks directly in memory, reducing energy use, latency, and data transfer bottlenecks. This memristor-based ...