Abstract: This article investigates the combination of two model-predictive control concepts, i.e., sequential model-predictive control and long-horizon model-predictive control, for power electronics ...

Abstract: This article presents a sparse, low-memory footprint optimization algorithm for the implementation of model predictive control (MPC) for tracking formulation in embedded systems. This MPC ...

Tanner Chase, a 2026 20 Twenties winner from Utah State University, shares his journey in UAV innovation and advice for ...

Researchers from the Johns Hopkins Applied Physics Laboratory (APL) in Laurel, Maryland, and Johns Hopkins University in ...

Introduction Sepsis is a life-threatening condition in intensive care units (ICUs), where any delay in diagnosis and treatment can lead to organ dysfunction, prolonged hospital stay and increased ...

Improves Antibody Yield by About 10% in the Purification ProcessJune 16, 2026 -- FUJIFILM Corporation (President and CEO, ...

If internet chatter is to be believed, the intuitiveness and efficiency of predictive text and autocorrect have fallen off a ...

Embodied intelligence enables the physical manifestation of AI. Embodied intelligence has been in the news in recent times, ...

AI-driven Google Ads is changing the PPC role from campaign execution to signal design, conversion architecture, and system ...

The list of government AI use cases has ballooned by 70% since Biden left office and includes many plans to hand over sensitive governmental functions to AI ...

A self-learning optimizer improved gas production while cutting gas lift usage by 44% across five Delaware basin wells ...