Power/Performance Bits: Nov 28


Deep learning to detect nuclear reactor cracks Inspecting nuclear power plant components for cracks is critical to preventing leaks, as well as to control in maintenance costs. But the current vision-based crack detection approaches are not very effective. Moreover, they are prone to human error, which in the case of nuclear power can be disastrous. To address this problem, Purdue Universit... » read more

Power/Performance Bits: May 16


Chaos-based IC Researchers at North Carolina State University and the College of Wooster developed a three transistor nonlinear, chaos-based integrated circuit combining digital and analog components, which they hope can improve computational power by enabling processing of a larger number of inputs. In chaos-based, nonlinear circuits, one circuit can perform multiple computations instead... » read more

Power/Performance Bits: Nov. 12


Back To The Future In the hunt for sources of renewable energy, researchers at ETH Zurich have gone back to a 19th century discovery. Thermoelectric materials have the remarkable property that heating them creates a small electrical current. But enhancing this current to a level compatible with the needs of modern technologies has revealed an extraordinary challenge for scientists of the last ... » read more