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, ...
AI transforms cybersecurity. Our AI-driven systems anticipate threats, adapt to your environment, and safeguard your data with privacy at its core, before breaches occur. Innovation in machine ...
Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
AI tools designed to diagnose cancer from tissue samples are quietly learning more than just disease patterns. New research ...
But common sense and the precautionary principle suggest that it is too early for AI to prescribe drugs without human oversight. And the fact that mistakes may be baked into the technology could mean ...
While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...
At ELRIG 2025 in Stevenage, AstraZeneca’s Global Leader for Flow Cytometry, Dr Raffaello Cimbro, outlined how imaging flow ...
AI technology has brought many changes to the healthcare industry. Learn about the possibilities and challenges it creates in ...
Francisco Javier Arceo explored Feast, the open-source feature store designed to address common data challenges in the AI/ML ...
New types of sensors can generate environmental data in real time using a range of tools, including flexible, printed ICs and ...
Written by Or Shalom Effective defense against threats such small, low-speed unmanned aerial systems (LSS – Low, Slow, Small) ...
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