In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of two-dimensional memories, systems that can reliably store information despite ...
A new publication from Opto-Electronic Technology; DOI   10.29026/oet.2025.250010, discusses how a photonic vibration ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Researchers at Aiims and global scientists are studying how changes in tone, pitch and speech patterns may help AI flag early ...
Background: Mental disorders have a significant impact on many areas of people’s life, particularly on affective regulation; thus, there is a growing need to find disease-specific biomarkers to ...
1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...
Abstract: Emotion is the mental state that represents the body's inherent anxiety and depression. There are many techniques to measure these emotions; the most common ones are PET, ECG, EMG, and MRI, ...
Abstract: Emotion recognition from speech is an emerging field within machine learning, aimed at improving human-computer interaction by enabling systems to understand and respond to human emotions.