Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
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 vector, and present with nearly identical early symptoms such as fever, ...
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 ...
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 ...
The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...
Abstract: Class imbalanced classification presents a considerable difficulty in machine learning, as conventional algorithms typically exhibit bias towards the majority class, compromising minority ...
Wearable technology could transform injury detection in workplaces, but researchers highlight the current limits of ...
Rajesh Patil and Professor Magnus Löfstrand have developed an AI system that detects welding defects, reduces material waste, ...
As genAI spreads into core systems, weak governance, hidden bias and security gaps threaten trust, compliance and long-term business value ...
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 ...
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