Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

Figure 1. Diagram showing an electrically active cell in a neuronal culture and the process of recording its transmembrane potential for further analysis Neurons are cells that enable the brain to ...

The growing energy use of AI has gotten a lot of people working on ways to make it less power hungry. One option is to develop processors that are a better match to the sort of computational needs of ...

(A) A traditional fully connected neural network. The layers are connected by black lines corresponding to weights. The neurons separately realize the summation and nonlinear activation functions ...

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI computational models that predict the degeneration of neural networks in amyotrophic ...

In order for large-scale artificial neural network hardware to become practical in the future, it is essential to integrate artificial neuron and synaptic devices, and it is necessary to reduce mass ...

For more than a century, the story of the brain has been told as a tale of neurons, with every thought and memory traced to their electrical chatter. That narrative is now being rewritten as evidence ...

Scientists have developed a computer-based model that may explain how nerve cells become damaged in ALS, and how best to time ...

Implantable bioelectronics are vital to neuroscience, neurological therapies, and brain-machine interfaces. They serve as indispensable interfaces that enable the communication between biological ...