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 uses large language models and algorithms to analyze patterns in datasets and mimic the style or structure of specific content types. Machine learning (ML), on the other hand, helps computers ...

A team of researchers led by Niccolò Maffezzoli, "Marie Curie" fellow at Ca' Foscari University of Venice and the University ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches ... different methods to improve existing AI models or come up with new ones.

Computational psychiatry is an interdisciplinary field of research that applies computational methods to the early detection ...

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 can use examples of atrial fibrillation ... that pretraining with one bio-signal allows a machine-learning model to learn from another bio-signal with fewer labels.

In more unconventional domains like chaos-based secure optical communication and photonic reservoir computing, ML enables the ...

A machine learning model incorporating treated astigmatism and nuanced inputs is advancing the precision and personalization ...