New probabilistic programming framework a finalist for best paper at SC19

Generates repeatable, high-quality semiconductor analysis to accelerate device development and maximize yields

Successful demonstration of algorithm by Berkeley Lab-UC Berkeley team shows technique could be viable for scientific light sources around the globe

The new approach developed by ETH researchers allows for substantial reduction of the number of sensors required for optoacoustic imaging without giving up on the resulting image quality

Scientists' machine-learning approach reduces qubit measuring time and the number of measurements by a factor of approximately four in comparison with conventional data acquisition

Report addresses three areas including appropriate documentation and sharing of research data, clear analysis and processes, and the sharing of code

Nine-month-old brains-in-a-dish and the brains of premature newborn babies generate similar electrical patterns, as captured by electroencephalogram (EEG)—the first time such brain activity has been achieved in a cell-based laboratory model

A new, brain-inspired computer system called EmoNet is shedding a surprising new light on how images impact emotions

UK researchers achieve 100 percent recognition rates for half and three-quarter faces

Training a deep learning network involves breaking a data sample into chunks of consecutive data points