The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare program, which could be mitigated using lessons from machine learning. MA ...

"Machine Learning Techniques for Electricity Theft Detection in Smart Grids: A Comprehensive Review," published in Energies ...

James Muldoon is a sociologist who writes about the changing nature of human-technology relationships. Love Machines: How Artificial Intelligence Is Transforming Our Relationships investigates how ...

Routine water quality monitoring already generates large volumes of physicochemical data – turbidity, temperature, dissolved oxygen – but converting that into an early warning for microbial ...

ISC Class 12 Computer Science Syllabus: The CISCE (Council for the Indian School Certificate Examinations) has released the latest Class 12 Computer Science syllabus for the 2026-27 board exam. The ...

Development environments have evolved into toolkits for directing coding models and coordinating agents. GitHub Copilot, Google Antigravity, JetBrains Air, Kiro, Zed, and Zenflow offer different ...

In Harris County, the number of properties facing 100-year-level flood risk may be more than twice as large as FEMA’s current maps suggest, according to a Texas A&M University study.

Microsoft Threat Intelligence examines DeadLock ransomware, an emerging financially motivated operation distinguished by its use of decentralized infrastructure to support victim communications, ...

Smart digital health has reshaped patient monitoring, but it faces a fundamental trade-off between device intelligence and continuous, energy-efficient monitoring. Inspired by self-sustaining ...