When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found ...
A new academic study argues that fraud detection systems must evolve beyond accuracy-focused prediction tools into ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
You’re managing a federal agency contact center when someone calls in with a bomb threat targeting a government building. The employee immediately begins ...
A new article published in the Journal of Dental Research explores the development of an integrated data-cleaning and subtype discovery pipeline using unsupervised machine learning for comprehensive ...
Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...
According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...
We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
Discover the 7 best fraud detection systems for enterprises in 2025. Learn about their features, pricing, and how they help combat digital and identity fraud in the ever-evolving threat landscape.
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