Advances in genome sequencing are giving more families access to prenatal genetic testing and new information about an unborn ...

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 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 ...

A 14-year-old in the United States is combining machine learning and CRISPR to tackle one of biofuel's biggest challenges. Her project could help increase algae oil production without slowing down the ...

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 ...

A new diagnostic test system jointly developed at the University of Chicago Pritzker School of Molecular Engineering (PME) and UCLA Samueli School of Engineering fuses a powerful, sensitive transistor ...

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 ...

Breaking research presented today at ADLM 2026 in Anaheim, California suggests that machine learning (ML) could play an important role in enhancing the accuracy of a standard blood test used to ...

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 ...

Researchers are using various machine-learning strategies to speed up climate modelling, reduce its energy costs and hopefully improve accuracy. Climate scientist Tapio Schneider is delighted that ...