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 ...

As I train for my seventh marathon, I'm used to the mantra that more miles equaled better performance. Now, Fitbod's strength-training program has helped me feel stronger as a runner, too.

Alan Turing and John von Neumann saw it early: the logic of life and the logic of code may be one and the same.

Abstract: Optimal Power Flow (OPF) is a constrained, high-dimensional, non-convex nonlinear programming problem that typically has multiple local optimal solutions. To address the issue where most ...

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

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 ...

Artificial Intelligence is reshaping the future of investing by turning data into actionable insights. From predicting market ...

Long-term weather forecasting is a difficult task, partly because weather systems are inherently chaotic. Though mathematical ...

OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...

ECE vs CSE: Aspiring engineers must make the crucial choice between Computer Science and Engineering (CSE) and Electronics and Communication Engineering (ECE). Despite the fact that both disciplines ...

The MSc Artificial Intelligence for Business is an interdisciplinary programme designed to prepare you for leadership in the design, implementation, and evaluation of AI technologies in complex and ...