System Bits: Aug. 7


ML leverages existing hospital patient data to detect trouble Focusing on emergency and critical care patients, a University of Michigan spinout, Fifth Eye, has developed a system that combines a machine learning algorithm with signal processing to monitor the autonomic nervous system of hospital patients and interprets the data every two minutes, which can sometimes be almost two days faster ... » read more

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

Manufacturing Bits: March 22


Tunable windows Harvard University has put a new twist on tunable windows. Researchers have devised a new manufacturing technique that can change the opacity of a window. With the flip of a switch, the window can become cloudy, clear or somewhere in the middle. Tunable windows, which aren’t new, rely on electrochemical reactions. Typically, the glass is coated with materials using vacuum... » read more

System Bits: Dec. 29


Optoelectronics built using existing manufacturing Using only processes found in existing microchip fabrication facilities, researchers at MIT, the University of California at Berkeley, and the University of Colorado have produced a working optoelectronic microprocessor that computes electronically but uses light to move information. The researchers reminded that optical communications prom... » read more