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Power/Performance Bits: March 16


Adaptable neural nets Neural networks go through two phases: training, when weights are set based on a dataset, and inference, when new information is assessed based on those weights. But researchers at MIT, Institute of Science and Technology Austria, and Vienna University of Technology propose a new type of neural network that can learn during inference and adjust its underlying equations to... » read more

Power/Performance Bits: Jan. 19


Electronic skin for health tracking Researchers at the University of Colorado Boulder developed a stretchy electronic 'skin' that can perform the tasks of wearable fitness devices such as tracking body temperature, heart rate, and movement patterns. "Smart watches are functionally nice, but they're always a big chunk of metal on a band," said Wei Zhang, a professor in the Department of Chem... » read more

Power/Performance Bits: Oct. 20


Benchmarking quantum layout synthesis Computer scientists at the University of California Los Angeles found that current compilers for quantum computers are inhibiting optimal performance and argue that better quantum compilation design could help improve computation speeds up to 45 times. The team designed a family of benchmark quantum circuits with known optimal depths or sizes, which cou... » read more

Power/Performance Bits: June 23


Capturing waste heat Researchers at Wuhan University and University of California Los Angeles developed a hydrogel that can both cool down electronics and convert the waste heat into electricity. The thermogalvanic hydrogel consists of a polyacrylamide framework infused with water and specific ions. When they heated the hydrogel, two of the ions (ferricyanide and ferrocyanide) transferred e... » read more