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How betting platforms use machine learning for fraud detection
Fraud remains one of the biggest challenges for betting platforms. This article explains how machine learning helps spot ...
Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...
The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...
Interpretable AI model could offer new insights into why medicines cause certain side effects, helping to improve future drug safety predictions.
When I see self-driving cars, space-based internet coverage anywhere in the world, a push for Mars, robotics and aggressive ...
Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to ...
Google has opened applications for the 10th cohort of its Startups Accelerator Africa, focusing on AI and machine learning ...
It’s easy to ignore cleaning your machine which keeps your clothes clean. But remember, your washing machine has an ideal environment for bacteria and mold. Detergent residue, warm temperatures, dirt ...
Speaking at the World Governments Summit 2026, Hale said the next phase of digital health will be driven by continuous biometric data combined with AI and machine learning, enabling people and ...
One of the most enduring goals in regenerative medicine is deceptively simple: replace a person's damaged or dying cells with ...
Professor James Rondinelli collaborated with IBM to help turn simulations into potential practical chip designs.
COLUMBUS, MD, UNITED STATES, January 27, 2026 /EINPresswire.com/ -- Prem Kireet Chowdary Nimmalapudi, an AI engineer, ...
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