Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

The fusion of advanced analytics and increasing AI capabilities in chemical processing can be powerful for process ...

enabling real-time predictions with minimal effort. Additionally, Azure ML supports CI/CD pipelines, allowing for automated testing, versioning, and deployment of models using MLOps best practices.

On Dec. 21, 2022, just as peak holiday season travel was getting underway, Southwest Airlines went through a cascading series of failures in their scheduling, initially triggered by severe winter ...

“After the last 4 years of astronomical inflation, it is important that we lower costs any way we can, and we encourage lenders to use this ... who utilize machine learning-based automations ...

Their paper, "Accelerating Cavity Fault Prediction Using Deep ... collection of machine learning surrogate models for each radiation detector and used an offline optimization algorithm to ...

The technology gathers live traffic data in real time, showing how many cars are using an intersection at ... They hope this leads to better traffic flow and safer roads. The county is piloting ...

Boston expands AI-driven Project Green Light to optimize traffic signals, reduce congestion, and improve commutes.

The application of AI and ML technologies has emerged as a critical approach to enhance the detection and early warning of potentially destabilizing hot money flows.

Travel plans are dominated by car traffic, busy airports For the American ... people are also planning to travel this Memorial Day using alternative methods, such as buses, boats and trains.