Machine learning algorithms now underlie much of the software we use, helping to personalize our news feeds and finish our thoughts before we're done typing. But as artificial intelligence becomes further embedded in daily ...
Constructing a neural network model for each new dataset is the ultimate nightmare for every data scientist. What if you could forecast the accuracy of the neural network earlier thanks to accumulated experience and approximation? ...
One transistor can become an oscillator with a surprising richness of behavior. However, even more interesting effects emerge if the structure of connections is fractal and shows some imperfections. Could similar rules explain ...
Machine learning algorithms can predict stock market fluctuations, control complex manufacturing processes, enable navigation for robots and driverless vehicles, and much more.
Kids lying on their backs in a grassy field might scan the clouds for images—perhaps a fluffy bunny here and a fiery dragon over there. Often, atmospheric scientists do the opposite—they search data images for the clouds ...
Eavesdropping on groupers mating in their natural habitats isn't creepy. In fact, it's imperative to ensuring their survival. For years, scientists have used passive acoustic monitoring techniques to study the behavior of ...
In a recent study published in Nature Communications, an international team of researchers from Tampere University of Technology (TUT), Finland, and the Institut FEMTO-ST at the Université Bourgogne-Franche Comté, France, ...
Scientists from Jülich together with colleagues from Aachen and Turin have produced a memristive element made from nanowires that functions in much the same way as a biological nerve cell. The component is able to save and ...
Interpretability and performance of a system are usually at odds with each other, as many of the best-performing models (viz. deep neural networks) are black box in nature. In our work, Improving Simple Models with Confidence ...
There is a deep connection between planning and inference, and over the last decade, multiple researchers have introduced explicit reductions showing how stochastic planning can be solved using probabilistic inference with ...
Dec 16, 2018
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