Power/Performance Bits: July 3


2D straintronics Researchers at the University of Rochester and Xi’an Jiaotong University dug into how 2D materials behave when stretched to push the boundaries of what they can do. "We're opening up a new direction of study," says Stephen Wu, assistant professor of electrical and computer engineering and physics at Rochester. "There's a huge number of 2D materials with different properti... » read more

Power/Performance Bits: Jan. 22


Efficient neural net training Researchers from the University of California San Diego and Adesto Technologies teamed up to improve neural network training efficiency with new hardware and algorithms that allow computation to be performed in memory. The team used an energy-efficient spiking neural network for implementing unsupervised learning in hardware. Spiking neural networks more closel... » read more