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 ...
In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...
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 ...
Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
Security teams often spend days manually turning long incident reports and threat writeups into actionable detections by ...
ESET researchers present technical details on a recent data destruction incident affecting a company in Poland’s energy sector.
(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...
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