A machine-learning approach can give scientists insight into the environmental preferences of microbes, based only on their genes. The approach has practical research implications: it could help ...

Miguel Jimenez receives funding from the National Aeronautics and Space Administration. With chatbots like ChatGPT making a splash, machine learning is playing an increasingly prominent role in our ...

Johns Hopkins scientists have developed a method involving artificial intelligence to visualize and track changes in the strength of synapses—the connection points through which nerve cells in the ...

Scientists are turning to machine learning to help with off-world sample analysis. "This machine learning algorithm can help us by quickly filtering the data and pointing out which data are likely to ...

Machine learning systems have become increasingly popular in the world of scientific research, and it’s easy to understand why. The algorithms — designed to examine complex, wide-ranging datasets for ...

Scientists have successfully tested the use of machine learning models to guide the design of long-acting injectable drug formulations. The potential for machine learning algorithms to accelerate drug ...

An influential group of researchers is making the case for new ways to search the skies for signs of alien societies. They argue that current methods could be biased by human-centered thinking, and ...

Projected on the massive screen behind me onstage, a herd of giraffes rushes across a sweep of savanna. With the video set to loop, the giraffes gallop endlessly, giving me time to slowly lean across ...

Over the course of her career, Temple University's Kathy Hirsh-Pasek has spent a lot of time worrying not just about how to increase playtime in school, but also how to reach kids outside of school.

Data scientists and machine learning scientists have similar roles, but a machine learning scientist specializes in researching and implementing complex algorithms. Like machine learning engineers, ...