Soter serves a variety of industries, including manufacturing, construction, mining, health care and retail. ... “We process the data through a neural network.

In most cases, the more data that can be thrown at a neural network, the more accurate it will become. Think of it like any task you do over and over. Over time, you gradually get more efficient ...

The ability to precisely predict movements is essential not only for humans and animals, but also for many AI applications - ...

Convolutional neural networks (CNNs) are a type of neural network that is designed to capture increasingly more complex features within its input data. To do this, CNNs are constructed from a ...

The Large Hadron Collider is one of the biggest experiments in history, but it’s also one of the hardest to interpret. Unlike ...

Last May, the company said it had managed to reduce the time it takes to train deep neural networks using already tagged data from about 15 hours to just 20 seconds by creating an advanced type of ...

But that’s starting to change. With a machine learning tool known as a sparse convolutional neural network (SCNN), researchers can focus on the relevant parts of their data and screen out the rest.