Abstract: Model predictive controllers use dynamics models to solve constrained optimal control problems. However, computational requirements for real-time control have limited their use to systems ...

Abstract: Many practical applications of optimal control are subject to real-time computational constraints. When applying model predictive control (MPC) in these settings, respecting timing ...

Department of Biomedical Engineering and William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, Ohio 43210, United States Article Views are the ...

AI-Enhanced Problem-Based Learning in Pathology Technology: An OBE-Driven Triadic Model of Clinical Problem, AI Validation, ...

Our mandate then was to gain independence. But in today’s hyperconnected world, it’s all about standing together.

Please do not cross-post, i.e. ask the same question in more than one forum, unless it's suggested that you have posted in the wrong place, or unless you receive total silence in one forum. In the ...

Leaders from Sinclair, Hearst Television, Graham Media Group and more unpacked advertising’s biggest pain points — and the ...

Trapped ion quantum computing noise hit a 30-year wall until ETH Zurich researchers built a Penning-trap scanner using a ...

Rather than generating text word by word, Google's experimental open-source model drafts entire passages simultaneously using diffusion, resulting in up to 4x faster inference.

Hybrid sellers should understand when to rely on AI and when to rely on their own experience. That distinction is likely to ...

Across business and politics, leaders are being held accountable for outcomes that depend on conditions far beyond the ...

Tesla Model Y EVs are very popular in the category, so you might be wondering how much one will depreciate over five years. Here's everything you need to know.