Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to ...

Örebro researchers Rajesh Patil and Professor Magnus Löfstrand have developed an AI system that detects welding defects, ...

Wearable technology could transform injury detection in workplaces, but researchers highlight the current limits of ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

A recent analysis of a major developmental dataset reveals that children who play musical instruments over several years exhibit stronger vocabulary skills than their non-musical peers. The findings ...