It is often joked that the memory and computing power that enabled humans to land on the Moon compare poorly to those of a ...

Stanford, CMU, Penn, MIT, and SkyWater Technology reached a major milestone by producing the first monolithic 3D chip ...

Artificial intelligence is getting more powerful—but it's also racking up a massive energy bill. Some estimate that one ...

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 ...

In the era of big data and machine learning technology, performing low-power in-memory computing operations is becoming an increasingly important requisite. While much advance has been achieved in ...

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 ...

MIT researchers tested the “Spatial Computing” theory and found that brain waves organize neurons into flexible, ...

With transistors and logic gates as our basic building blocks, we can begin to construct the actual circuits that make up computer memory. One of the simplest memory circuits is the AND gate, which ...

The IEEE International Electron Devices Meeting (IEDM) is always a source of interesting information on the latest developments in solid-state technology and in particular solid state memory and ...

FMS connects top technologists, product leaders, analysts, investors, and enterprise end users across the global ecosystem. Marking its 20th anniversary, FMS26 will deliver an expanded program ...

Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...