Mass Transit

Using a data-driven framework to reduce transit worker fatalities

Transit workers across the U.S. are facing an epidemic of violence and injury, with assaults on these essential frontline employees having tripled since 2008, according to data from the National ...

AI model learns yeast DNA 'language' to boost protein drug output

Industrial yeasts are a powerhouse of protein production, used to manufacture vaccines, biopharmaceuticals, and other useful compounds. In a new study, MIT chemical engineers have harnessed artificial ...
IEEE

Practical Nonlinear Model Predictive Control With Kolmogorov–Arnold Network Models

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
Analytics Insight

Top Pandas Courses and Certifications for Python in 2026

Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...
IEEE

Data-Driven Model Predictive Control for Trajectory Tracking in UAV-Manipulator Systems

Abstract: This work presents the design and implementation of a data-driven Nonlinear Model Predictive Control (NMPC) framework for an Uncrewed Aerial Vehicle (UAV) equipped with a 3-DOF robotic arm.
Frontiers

Federated learning for critical electrical infrastructure—handling data heterogeneity for predictive maintenance of substation equipment

Federated learning-based predictive maintenance frameworks enable diverse utilities to collaboratively improve predictive models without compromising data privacy, offering an automated, scalable, and ...
Deep

Vertiv Launches AI Predictive Maintenance for Data Centers and AI Factories

Vertiv, a global leader in critical digital infrastructure, announced the launch of Vertiv™ Next Predict, an AI-powered managed service that fundamentally transforms data center maintenance. Moving ...