Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

In a small study, they successfully trained a machine learning algorithm to predict, in hindsight, which patients with melanoma would respond to treatment and which would not respond.

These data were then used to train a machine learning algorithm to help researchers design the best fix for a given genetic flaw, which promises to speed up efforts to bring prime editing into the ...

A deep-learning network trained to predict protein shapes can also generate proteins with new, stable structures.

Over at the Massachusetts Institute of Technology, they point out that machine learning and AI are often used interchangeably because these days, most AI includes some amount of machine learning.

They’re related, but not interchangeable.The ABCs of AI, algorithms and machine learning They’re related, but not interchangeable.

Layered within these actions are additional information, such as gait pattern, velocity, distance traveled and locations visited. Using machine learning, they evaluated this information and identified ...