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 ...

Partnership with Cornell and Stanford pushes beyond paradigm where photonic devices perform only single, fixed tasks ...

There's one problem: the sequel, The Social Reckoning, will be without contributions by the former two, and instead will be ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...

Abstract: The trust-region method and projection neural networks are two branches of optimization approaches with different operational principles and characteristics. In this article, a trust-region ...

Abstract: The problem of spacecraft pursuit–evasion game is typically represented as a two-player zero-sum differential game. The two-point boundary value problem derived from the Pontryagin minimum ...

Master problem-solving with a simple, powerful 3-step approach that works across all languages and challenges.

Woodward notes a PWM nonlinearity in a DI that software can't fix, and presents a potential solution: adjusting resistor ...

If you’re going to be a hacker, learning C is a rite of passage. If you don’t have much experience with C, or if your experience is out of date, you very well may benefit from hearing ...

Like the rest of its Big Tech cadre, Google has spent lavishly on developing generative AI models. Google's AI can clean up your text messages and summarize the web, but the company is constantly ...

EXCLUSIVE: L.A.’s Micheaux Film Festival will run at The Culver Theater in Culver City from October 23 to 26, with a ...

Researchers from EPFL, AMD, and the University of Novi Sad have uncovered a long-standing inefficiency in the algorithm that ...