Artificial neural networks are inspired by the early models of sensory processing by the brain. An artificial neural network can be created by simulating a network of model neurons in a computer.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile ...

Predict dynamic behaviors in a physics system in a way that's computationally efficient and adaptable to a range of scenarios.

Systolic arrays never took off when they first emerged, but they are shaping up as the dominant ways to structure an AI ... can keep the entirety of the neural network on die," he said.