Researchers, including the University of Tennessee, Knoxville’s Belinda Akpa, are using predictive modeling and machine ...

Appa Rao Nagubandi's research advocates for autonomous predictive agents and low-latency analytics to enable real-time P&L intelligence and robust financial governance.

The authors analyze the interest rate risk in the banking book regulations, arguing that financial institutions must develop robust models for forecasting ...

A new AI-based system can generate high-resolution soybean yield maps across Brazil using only limited local data, improving ...

The way machines behave depends on working sites, shifts, climates and duty cycles. Predictive maintenance is precision medicine for machines. It continuously monitors "vital signs," detects ...

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...

With limited maintenance budgets and a growing number of structurally aging bridges, transportation agencies are under pressure to prioritize repairs more precisely. A new study published in ...

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

RadSite and Trajectory Health AI to Host Complimentary Webinar on February 10th I am excited to moderate this timely ...

TL;DR: Predictive analytics influences day-to-day decisions once forecasts change behavior rather than sit inside ...

The global Claims Processing Software Market was valued at USD 5.2 billion and is projected to reach USD 10.1 billion by 2033. The market is expected to grow at a robust CAGR of 8.5% during the ...

THIRUVANANTHAPURAM: In a bid to shift to predictive policing using artificial intelligence, the CCTNS team of the State Crime ...