Worcester Polytechnic Institute (WPI) researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer's disease with nearly 93% accuracy.

Functional near-infrared spectroscopy (fNIRS) measures brain activity optically based on changes in cortical blood flow.

The Google corporation has grown up, maturing into a multibillion dollar company by the early age of 16. As the premier search engine, Google is easier to use and more popular than all others. But, ...

Machine learning has become integral to the automated interpretation of magnetic resonance imaging (MRI) of the brain, offering rapid, reproducible and objective support to clinical decision-making.

A machine-learning analysis of brain waves recorded during sleep may help identify people at high risk of developing dementia, according to a study led by UC San Francisco and Beth Israel Deaconess ...

(a) Conventional neuron models used in reservoir computing. Artificial neural networks (ANNs) comprise of neuron models that sum up weighted inputs, filter the value through an activation function, ...

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...

A new study published in iScience, a Cell Press journal, reveals how the severely paralyzed can drive wheelchairs with thoughts in a realistic environment after non-invasively training an artificial ...

A collaborative research group has shown that biological neurons can be trained to perform a temporal pattern learning task that was previously carried out by artificial systems. (Nanowerk News) A ...