New AGI lab aims to revolutionize machine learning with symbolic models, moving beyond traditional deep learning.

Machine-learning physiologic signal model achieved 90% sensitivity and 99% negative predictive value for ischemia detection in symptomatic patients The model showed strong sensitivity in both ...

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

Vittorio Fortino has been appointed as Professor of Bioinformatics and Machine Learning at the University of Eastern Finland.

In recent years, the intersection of artificial intelligence (AI), machine learning (ML), and acoustic signal processing has emerged as a rapidly advancing field, offering new ways to analyze, ...

A study presents a machine learning approach to accurately detect ionospheric amplitude scintillations, a phenomenon that significantly impacts Global Navigation Satellite System (GNSS) signals. By ...

Researchers at Tohoku University and Future University Hakodate have trained cultured rat cortical neurons to perform ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...