MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected ...

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

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 ...

Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the "light ...

MIT researchers created a periodic table of machine learning that shows how more than 20 classical algorithms are connected. The new framework sheds light on how scientists could fuse strategies ...

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 ...

In the ever-growing field of machine learning, one of the most significant challenges is making complex models interpretable and accessible. Enter AutoXplainAI, an innovative framework developed by ...

In their study, authors developed a machine learning algorithm -- known as PAMmla -- that can predict the properties of about 64 million genome editing enzymes. The work could help reduce off ...