MathWorks has joined the EDGE AI FOUNDATION, an organisation dedicated to advancing energy‑efficient artificial intelligence ...

This research advances hybrid soft-rigid robot simulations, achieving up to 1000 times faster computations through analytical ...

Collaboration supports engineers building AI models in MATLAB and PyTorch, integrating them into system simulations, and deploying to embedded devices .

Abstract: This article introduces a learning-based model predictive control (MPC) framework that leverages Gaussian mixture models (GMMs) to address dynamic system uncertainties effectively. To ...

Abstract: Handling model mismatch is a common challenge in model predictive control (MPC). While robust MPC is effective, its conservatism often makes it less desirable. Certainty-equivalence MPC ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

The evolution of safety-critical autonomous systems, including agile drones and surgical robots, has fundamentally increased the demands for control design.

The Tesla Model S is an electric car. When it launched for 2013, the Model S was Tesla’s first mainstream electric car. Various updates have been applied to the Model S over the years, including a ...

Foundation models for echocardiography often struggle to disentangle anatomical signal from the stochastic speckle and acquisition artifacts inherent to ultrasound. We present EchoJEPA, a foundation ...