Power/Performance Bits: Mar. 6

Neural network chip Neural networks are both slow and consume a lot of power. This made researchers at MIT examine the important aspects of the nodes within a neural network¬†and to see how each part of the computation could be improved. The outcome was a dedicated chip that increases the speed of neural-network computations by three to seven times over its predecessors, while reducing power c... » read more

Power/Performance Bits: Feb. 6

Recycling cathodes Nanoengineers at the University of California San Diego developed an energy-efficient recycling process that restores used cathodes from spent lithium ion batteries. The process involves harvesting the degraded cathode particles from a used battery and then boiling and heat treating them. In new batteries built with the cathodes, charge storage capacity, charging time and ba... » read more

Power/Performance Bits: Nov. 23

Increasing lithium battery density Researchers at Columbia University developed a new method to increase the energy density of lithium batteries using a trilayer structure that is stable in ambient air. "When lithium batteries are charged the first time, they lose anywhere from 5-20% energy in that first cycle," said Yuan Yang, assistant professor of materials science and engineering at C... » read more