Modern industry is moving beyond simple monitoring. By integrating Predictive AI with a digital twin service, businesses are ...

A recent study on the development and validation of an AI-based framework for first-trimester preeclampsia risk assessment ...

The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that sparked concern from privacy and technology safety advocates.

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 ...

As integrated health technologies increasingly shape the future of heart failure management, this paper provides ...

Transforming the chemicals industry, AI application models enhance formulation development, enabling rapid, accurate responses to evolving market demands.

According to A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges, published in Sensors, AI-based predictive maintenance systems ...

The lobstermen went against fishing protocol by dropping their northeast endlines to reduce the number of ropes in the water.

The recent advent of AI is transforming daily life from streamlining routine tasks to augmenting productivity and ...

In a letter to Gov. Gavin Newsom, more than two dozen advocacy organizations – including the Electronic Frontier Foundation ...

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