New integrations between Python and MATLAB’s Simulink platform are enabling engineers to coexecute Python models, automate VLSI workflows, and bridge AI-driven design with traditional simulation.
MATLAB Agentic Toolkit equips AI coding agents with expert knowledge and a live MATLAB connection to write idiomatic code, ...
MathWorks announced Release 2026a (R2026a) of the MATLAB® and Simulink® product families today, introducing new AI capabilities for embedded systems development. R2026a introduces Simulink® Copilot to ...
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Master MATLAB and Python for student projects
From weather apps to AI-powered simulations, students now have abundant resources to combine MATLAB, Python, and collaborative cloud tools like Google Colab. These platforms make it easier to learn, ...
Robust Reinforcement Learning-based model for UAV self-separation under Uncertainty. Hybrid; Amsterdam , Noord-Holland , Netherlands; Aerosp ...
It exposes Simulink context as deterministic, machine-readable tool outputs. It lets AI reason on real model topology/parameters instead of screenshots. It keeps workflows real-time and ...
Abstract: Deep Reinforcement Learning for complex control problems is often constrained by the computational cost of training, which depends heavily on the simulation environment. This paper presents ...
1 EARTH University, Guacimo, Costa Rica. 2 Costa Rica Institute of Technology, Cartago, Costa Rica. Accurate prediction of water travel time in drip irrigation systems is essential for efficient water ...
Abstract: This paper presents a reinforcement learning–based adaptive gain tuning strategy for a Terminal Super-Twisting Sliding Mode Controller (TST-SMC) applied to autonomous vehicle lane-change ...
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