A data-driven framework for highway design uses machine learning to improve decision-making by analyzing terrain, weather, and traffic in real time.

Middle East News: Researchers from UAEU and IIT Madras introduce an AI-driven framework for accurate malaria forecasting, enhancing global health strategies with advanced modeling techniques.

A data-driven framework for highway design uses machine learning to improve decision-making by analyzing terrain, weather, and traffic in real time. This adaptive system enables smarter, safer, and ...

The paper, titled “Analysis of a Mathematical Model for Malaria Using a Data-Driven Approach”, presents an innovative method for predicting malaria outbreaks by incorporating temperature- and ...

DoorDash has launched a badge serving framework (BSF), a configuration-based system that decouples UI badge logic from application code. BSF allows the company to manage badges through backend ...

Data-driven hydrogels with strong underwater adhesion have been developed using machine learning and protein-inspired designs for marine and biomedical applications.

Discover four autism subtypes with unique traits and genes, paving the way for personalized treatments and support for individuals.