Researchers focus on limiting data movement to reduce power and latency in edge devices. In popular media, “AI” usually means ...
A subtle tweak to how RAM keeps time is paving the way for higher memory speeds. Here's what that means for you.
Qualcomm’s AI200 and AI250 move beyond GPU-style training hardware to optimize for inference workloads, offering 10X higher ...
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Unified memristor-ferroelectric memory developed for energy-efficient training of AI systems
Over the past decades, electronics engineers have developed a wide range of memory devices that can safely and efficiently ...
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 ...
SANTA CLARA, Calif.--(BUSINESS WIRE)--EnCharge AI today announced the EnCharge EN100, the industry's first AI accelerator built on precise and scalable analog in-memory computing. Designed to bring ...
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 ...
Most people are familiar with data in the form of a spreadsheet, with labeled columns of different data types such as name, address, age, and so on. Databases work the same way, with each table laid ...
Mushrooms have long attracted scientific attention for their complex biological networks and resilience across environments. Those same biological systems, researchers found, can be engineered to ...
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 ...
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