Machine Learning
Model registers “surprise” when objects in a scene do something unexpected, which could be used to build smarter AI
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
