Abstract: With the purpose of managing efficiency in a large number of published vulnerabilities, the time-intensive process requires significant effort and efficient vulnerability prioritization ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

Overview Cloud analytics platforms in 2025 are AI-native, enabling faster insights through automation, natural language ...

TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...

A strategic, unified approach helps reduce total cost of ownership, mitigate risks and provides data intelligence and broad visibility across the enterprise. It positively impacts operational ...

For advanced bonding schemes and panel operations, there is a high cost to discovering an interface issue late in the flow. Reliability improves when materials are specified as a system rather than as ...

By fusing behavioral data, real-time analytics and generative AI, the industry is entering a new era: attention hacking at ...

Growth in demand for clean water, waste reduction, and environmental safety has driven innovation in sanitary-environmental ...

EPFL researchers have developed new software—now spun-off into a start-up—that eliminates the need for data to be sent to ...

Dr. Kasy is the author of the book “The Means of Prediction: How AI Really Works (and Who Benefits).” Imagine applying for a job. You know you’re a strong candidate with a standout résumé. But you don ...

More searches end without a click. Learn what zero-click searches are, why they’re rising, and how to optimize content to stay visible in a no-click world. Zero-click searches occur when users get ...