When an outbreak of an infectious disease begins to spread, policymakers face an unenviable challenge. They must decide when to intervene and how forcefully, knowing that their choices carry both ...

Jet-powered humanoid iRonCub achieves simulated flight stability, paving the way for disaster-response and advanced robotics applications.

Intelligent agriculture requires precise, real-time control of diverse systems ranging from greenhouse climates to autonomous ...

A new physics-based algorithm clears a path toward nuclear microreactors that can autonomously adjust power output based on ...

Batch mixing remains the predominant approach in industries where product diversity, regulatory oversight and recipe ...

1. Core Viewpoint: Large Models as Engines, Data as Fuel, Constructing the Most Critical Elements of Humanoid Robots ...

Scientists in China have created an optimization technique for an electric vehicle charging station that uses PV, battery storage, and a vehicle-to-grid operation. Considering the uncertainty of PV ...

Nuclear microreactors—compact, transportable power sources that can produce up to 20 megawatts of thermal energy—could one ...

"We've written our own state estimators. We've written our own motion language models. We've developed our own classical methods of control, MPC [Model Predictive Control], et cetera. So what's novel, ...

For oil and gas producers in the Middle East, this consultancy-led approach is proving essential. The region's operators face unique challenges, including environmental, geopolitical, and ...

Distributed model predictive control (DMPC) offers a computationally efficient alternative to centralized model predictive control (CMPC) for enabling the optimal control of industrial process systems ...

Metal-organic (MO) precursors are the chemical building blocks at the heart of atomically precise complex oxide materials.