Researchers have demonstrated a new technique that allows "self-driving laboratories" to collect at least 10 times more data ...

In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...

Smarter motor design through AI-driven software. Motor designs from CAD to production in hours. Eliminating winding lines with PCB stators. The electric motor ...

Innovations in assistive AI and, ultimately, increased autonomy with agentic AI will redefine what engineers can achieve ...

Purpose: To develop a machine learning model to predict anatomical response to anti-VEGF therapy in patients with diabetic macular edema (DME). Methods: This retrospective study included patients with ...

Eleven machine learning (ML) models were trained, tested, and compared, and the best-performing model was selected for optimization and temporal validation. SHapley Additive exPlanations (SHAP) were ...

There is a need for design strategies that can support rapid and widespread deployment of new energy systems and process technologies. In a previous work, we introduced process family design as an ...

Discover how to use machine learning in software development to optimize workflows, and learn about machine learning models, pipeline integrations, and code review tools.