A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery. The framework, Information-Contrastive Learning (I-Con), connects diverse ...

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 ...

AI is fundamentally changing the way healthcare leaders are helping people manage their health by enabling personalized, data ...

Shenzhen, May. 20, 2025/––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced that quantum algorithms will be deeply integrated with machine learning to explore practical ...

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 .

SEISMIC-HF II findings will help substantiate the technical accuracy of the first AI algorithm behind Cardiosense's heart failure management solutions, as Cardiosense aims to evolve the current ...

Proteins are among the most studied molecules in biology, yet new research from the University of Göttingen shows they can ...

Google DeepMind's AlphaEvolve AI system breaks a 56-year-old mathematical record by discovering a more efficient matrix ...

The global machine learning market size is anticipated to reach $419,94-billion by 2030, registering a CAGR of 33,2% from 2025 to 2030, according to a new report by Grand View Research. The market is ...

Malta-headquartered CRM solutions provider Fast Track has unveiled its new machine learning platform, FTML. The new platform ...