Bitcoin price is down again, but our machine learning algorithm suggests that the ongoing decline is short-term.

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.

Students at the University of Toronto’s St. George campus are seen drifting between stone buildings on a cold morning while holding coffee cups and laptops, their breath momentarily visible in the ...

A machine learning-driven eNose detects ovarian cancer in blood plasma with 97 % sensitivity and specificity, offering a promising biomarker-agnostic approach.

American political divisions surged between 2008 and 2020, but this trend is not happening globally. A new study in Royal Society Open Science uses machine learning to reveal how cultural issues drive ...

A recent brain imaging study reveals that attention deficit hyperactivity disorder consists of at least two distinct physical subtypes. This discovery suggests that patients may eventually benefit ...

WPI researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict ...

Researchers use MEG imaging to show that the brain reactivates "forgotten" memories, but they only reach consciousness if they pulse at a specific rhythm.

Researchers have used brain imaging to show how memories can be reactivated in the brain without them reaching conscious awareness, showing that these memories persist even when we think they have ...

An analysis of 1,000 profiles shows that most of the images follow very similar patterns, blending individual preferences and social conventions. Age ...

What if the thermal noise that hinders the efficiency of both classical and quantum computers could, instead, be used as a ...