One approach to machine learning (ML) requires extensive training using captured data on high-powered servers. It allows for the creation of a deep neural network (DNN) that can then be deployed on ...

Machine learning algorithms find patterns in human movement data collected by continuous monitoring, yielding insights that ...

Technical traders have long searched for distinctive shapes in stock-price charts in order to predict returns. As artificial intelligence systems become better and better at recognizing visual ...

A lithographic (litho) hotspot is a defect on a wafer that is created during manufacturing by a combination of systematic process variation and resolution enhancement technology (RET) limitations.

A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: ...

Scientists at the UC Davis MIND Institute used machine learning to identify several patterns of maternal autoantibodies highly associated with the diagnosis and severity of autism. Their study (“Risk ...

The human brain, with its billions of interconnected neurons giving rise to consciousness, is generally considered the most powerful and flexible computer in the known universe. Yet for decades ...

Using machine learning, researchers at the UC Davis MIND Institute have identified several patterns of maternal autoantibodies highly associated with the diagnosis and severity of autism. Their study, ...