Computer Sciences

A computational shortcut for neural networks

Neural networks are learning algorithms that approximate the solution to a task by training with available data. However, it is usually unclear how exactly they accomplish this. Two young Basel physicists have now derived ...

Engineering

Machine learning generates 3D model from 2D pictures

Researchers from the McKelvey School of Engineering at Washington University in St. Louis have developed a machine learning algorithm that can create a continuous 3D model of cells from a partial set of 2D images that were ...

Security

Collaborative machine learning that preserves privacy

Training a machine-learning model to effectively perform a task, such as image classification, involves showing the model thousands, millions, or even billions of example images. Gathering such enormous datasets can be especially ...

Automotive

Developing driving simulations that look more life-like

Today's driving simulators have a big problem: They don't look realistic enough, particularly background objects, such as trees, and road markings. But researchers have developed a new way to create photorealistic images ...

Computer Sciences

Synapses as a model: Solid-state memory in neuromorphic circuits

Certain tasks—such as recognizing patterns and language—are performed highly efficiently by a human brain, requiring only about one ten-thousandth of the energy of a conventional, so-called "von Neumann" computer. One ...

Engineering

AI may come to the rescue of future firefighters

In firefighting, the worst flames are the ones you don't see coming. Amid the chaos of a burning building, it is difficult to notice the signs of impending flashover—a deadly fire phenomenon wherein nearly all combustible ...

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Network

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