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 ...
The Fast Company Executive Board is a private, fee-based network of influential leaders, experts, executives, and entrepreneurs who share their insights with our audience. BY Matt Swann The rise of ...
You’re managing a federal agency contact center when someone calls in with a bomb threat targeting a government building. The employee immediately begins ...
The cybersecurity landscape in 2026 presents unprecedented challenges for organizations across all industries. With ...
We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.
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, ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
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.
Results that may be inaccessible to you are currently showing.
Hide inaccessible results
Feedback