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 ...
Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...
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 ...
Federal systems integrators face a familiar mandate in 2026 — deliver faster mission outcomes with tighter constraints — plus a new reality: agencies are moving from artificial intelligence ...
Wearable technology could transform injury detection in workplaces, but researchers highlight the current limits of ...
The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...
In order to explore the medication rules of Shang Han Lun, this article conducted complex network analysis and cluster ...
The purpose of this study was to develop a method of classifying cancers to specific diagnostic categories based on their gene expression signatures using artificial neural networks (ANNs). We trained ...