The machine learning algorithm and subsequent simulations are fueled by data, expert knowledge and statistical models ...

Data science and machine learning algorithms can help us form probabilistic forecasts of things like sporting events.

But AI is being used in these fields through techniques that researchers have studied for years and whose strengths and ...

The Diagnostic Window Bottleneck: Neurologists rely heavily on EEGs to diagnose epilepsy, but standard clinical sessions provide only a 20-minute snapshot of brain activity, making manual detection ...

Epilepsy isn't always easy to diagnose. Seizures often don't occur during routine brain-wave recordings (EEGs), leaving doctors without the direct observation they need to make a clear diagnosis.

The rise of machine learning has led many artists and writers to feel that their life's work could be about to be destroyed.

A Cornell professor designed a room-size network of sensors that represented a single neuron. He claimed it would grow wiser ...

AccurKardia, Inc., an ECG analytics software company focused on establishing ECG as a broad biomarker, today announced that ...

You haven’t overspent. You haven’t done anything suspicious. But somewhere inside your bank’s computer systems, a machine made a decision about you in less time than it takes to blink – and it ...

National statistical institutes (NSI's) are increasingly interested in using non-probability data to produce official statistics. Examples are information on the internet, social media messages, ...

Machine-learning hedge funds surged on the recent jump in precious metals prices, before sidestepping last week's sell-off. Also known as commodity trading advisors (CTAs), the sector notched up one ...