The experimental results demonstrated that the use of the AdaBoost algorithm from machine learning for the mobile ultrasonic stratified flow velocity measurement device was feasible and effective.

Q&A Predicting the Future Using Azure Machine Learning By David Ramel 05/13/2025 The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and collaborators accurately predicts and inversely designs the mechanical behavior of ...

The data lakehouse architecture is leading this change—particularly for machine learning (ML) and advanced analytics—by combining the strengths of both data lakes and data warehouses.

Exscientia's platform, which is built using AWS technologies, supports its Design-Make-Test-Learn loops and spans generative AI, active learning, ML, physics-based systems and many other ...

One certification, AWS Certified AI Practitioner, covers the fundamentals of artificial intelligence and machine learning, design considerations, model tuning and more.

By working with AWS, JFrog has designed a workflow indoctrinating these practices to machine learning model development in the cloud, providing speed and security.

Macroscopic fundamental diagram (MFD) captures an orderly relationship among traffic flow, density, and speed at the network level. Understanding network-wide traffic through MFDs can optimally ...