Compute-in-memory: State space models; ultra-thin AlScN memory; brain-inspired edge AI.

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Researchers from the Department of Energy's Quantum Science Center (QSC) headquartered at Oak Ridge National Laboratory (ORNL ...

As DRAM technologies scale to increasingly tighter pitches, the patterning requirements exceed the limits of conventional ...