IEEE

Actor–Critic Model Predictive Control: Differentiable Optimization Meets Reinforcement Learning for Agile Flight

Abstract: A key open challenge in agile quadrotor flight is how to combine the flexibility and task-level generality of model-free reinforcement learning (RL) with the structure and online replanning ...
Hosted on MSN

Learn 3D object modeling and projectile motion with Python lesson 4

Dive into 3D object modeling and projectile motion with Python in Lesson 4! In this tutorial, we guide you step by step through creating 3D visualizations and simulating projectile motion using Python ...
The Providence Journal

Virtual Roundtable to Showcase Understanding the Premarket Validation and Verification of Health AI Predictions

ANNAPOLIS, MD, UNITED STATES, January 22, 2026 /EINPresswire.com/ — RadSite™, a leading accreditation agency promoting safety and quality in imaging, and ...
MediaPost

How Marketing Mix Modeling Is Becoming A Must-Have Predictive Tool

The techniques that have served marketers for over fifty years are evolving rapidly, driven by artificial intelligence, increasing market volatility and a fundamental shift in what we expect ...
AZ Central

Techkon USA announces SmartANILOX – the world’s first predictive anilox recommendations system to achieve lowest deltaE

SmartAnilox automatically identifies the specific anilox to achieve the lowest Delta E, eliminating guesswork that plagues color matching in the pressroom SmartAnilox provides immediate, actionable ...
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 ...