Could computers ever learn more like humans do, without relying on artificial intelligence (AI) systems that must undergo ...

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 ...

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, ...

A new study reveals how brain circuits between the entorhinal cortex and hippocampus stabilize memories during learning.

For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...

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 ...

An artificial intelligence platform can analyze genomic data extremely quickly, picking out key patterns to classify different types of colorectal tumors and improve the drug discovery process. The ...

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 ...