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

They created a “periodic table” of over 20 classical machine-learning algorithms, showing how they are all connected through ...

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions -- but there is always room for improvement. A new paper showcases the power of scalable protein ...

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

An automated machine-learning program developed by researchers from Edith Cowan University (ECU) in conjunction with the ...

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

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 .