For decades, cybersecurity relied heavily on signature-based detection and static rule systems. These tools were effective ...
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, ...
How AI, privacy-preserving computation, and explainable models quietly strengthen payments, protect data, and bridge traditional finance with crypto systems.
The global migration to more intelligent, agile, interactive vending devices creates opportunities and challenges for ...
Test vendors use AI and machine learning to handle massive data volumes from complex electronics and detect hard-to-find ...
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Insurance companies know when you'll die – they use machine learning to predict your expiration
Smartwatch data and AI algorithms help life insurance companies predict mortality with 78% accuracy, potentially affecting ...
Carnegie Mellon University will introduce new academic programs and resources for students and researchers to blend traditional humanistic inquiry with computational methods like computer vision, ...
Artificial intelligence has become both the weapon and the shield in today’s cyber battlefield. From self-learning malware to ...
The trend toward the software-defined vehicle is undisputed. But how fast will this development unfold? The answer may ...
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