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

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 ...

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 ...

For one test, the researchers trained the neural network with data from an unidentified mobile phone service that detailed 43,606 subscribers’ interactions over 14 weeks.

The report provides a comprehensive, real-world perspective on the market, includes statistics, modeling, machine learning, neural networks, and data mining to analyze facts to make predictions ...

Organoid neural networks Hongwei Cai, the first author of Brainoware, and his colleagues wanted to find a biological way to solve the problem of reservoir computing.

You can't do science without data, and a team at Berkeley has proposed a method to get a lot more data about the brain. All they need to do is sprinkle your brain with tiny dust-like sensors.