Guo-Xing Miao, Professor at the University of Waterloo, guides us through programmable iontronic neural networks ...

Let us consider an example problem, for which an artificial neural network is readily applicable. Of two classes of cancer, only one responds to a certain treatment. As there is no simple ...

An example of this older work is the Stroop task ... researchers have created simple neural network models to understand how humans focus on tasks. But again, that's one distraction, one task. Kool's ...

It also allowed psychologists to design neural networks that could perform interesting computations in unexpected ways. For example, a recurrent network that is trained to derive the meaning of ...

Detail shows structure of retina, including location of a bipolar cell expressing Nanoscope's MCO1 opsin. Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases ...

Binary neutron star mergers occur millions of light-years away from Earth. Interpreting the gravitational waves they produce ...

The enormous computing resources needed to train neural networks for artificial intelligence (AI) result in massive power consumption. Researchers have developed a method that is 100 times faster and ...