Ishaan Dokania, a sixth-grader from Oregon, is exploring lithium resource identification using satellite imagery and machine ...

Scientists used a neural network, a type of brain-inspired machine learning algorithm, to sift through large volumes of particle collision data. Particle physicists are tasked with mining this massive ...

Because small changes in atmospheric and surface conditions can have large, difficult-to-predict effects on future weather, traditional weather forecasts are released only about 10 days in advance. A ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...

The process of testing new solar cell technologies has traditionally been slow and costly, requiring multiple steps. Led by a fifth-year PhD student, a Johns Hopkins team has developed a machine ...

Quantum computers promise to solve problems that stump even the most powerful supercomputers, but the machines themselves are ...

The term dementia is used to describe various debilitating neurological disorders characterized by a progressive loss of memory and a decline in mental abilities. Estimates suggest that over 55 ...

Parkinson's comes on slowly, and diagnosing the often-devastating movement disorder, particularly in its early stages, usually entails having patients perform a variety of mobility tasks, observing ...

Please provide your email address to receive an email when new articles are posted on . Researchers are using machine learning to identify data-driven PCOS subtypes. Findings may lead to more precise ...

Enzymes are molecular machines that carry out the chemical reactions that sustain all life, an ability that has captured the attention of scientists like me. Consider muscle movement. Your body ...