Australian and Canadian researchers have developed a cutting-edge machine learning algorithm capable of rapidly identifying h ...

Scientists are turning to machine learning to predict diseases, design drugs, and uncover hidden patterns in massive datasets ...

Machine learning-powered security systems should be used as a tool, not as a replacement for security teams for web apps.

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, MIT researchers organized ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

The algorithm, called catGRANULE 2.0 ROBOT, helps identify molecular targets for further research and therapies. It is described in an article published in the journal Genome Biology .

A research group has developed an innovative machine learning technology that enables predictions beyond the distribution of ...

A machine-learning algorithm, catGRANULE 2.0 ROBOT, has been developed to predict the potential of proteins to form toxic aggregates linked to neurodegenerative diseases like ALS, Parkinson's, and ...