Control's collection of resources to help with digital twin education and implementation, from Aveva, Nvidia and more ...

We present one of the first comprehensive evaluations of predictive information derived from retinal fundus photographs, illustrating the potential and limitations of readily accessible and low-cost ...

H2O.ai, a pioneer in sovereign AI and the world's leading agentic, highly accurate predictive AI company, today announced its openly available H2OVL Mississippi visual-language multimodal models has ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

The material is based on work supported by the NASA Space Technology Graduate Research Opportunities Award No. 80NSSC23K1199 titled: Autonomous Landing and Proximity Operation Technology for ...

Abstract: In this work, a novel dual-type reference governor (DRG) is proposed to handle the unreachable reference within the prediction horizon for the model predictive control (MPC). The proposed ...

ABSTRACT: This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI ...

Escola de Química, EPQB, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Rio de Janeiro 21941-909, Brazil Programa de Engenharia Química, PEQ/COPPE, Universidade Federal do Rio de Janeiro, Rio ...

(A) 3D model of the manipulator structure, consisting of 3 continuum segments. The manipulator operates in the plane. (B) Close-up view of the revolute joint between adjacent disks. (C) Diagram ...

In the 20th century, toxicology made slow progress due to overreliance on animal-based assays, incompatible with 3R ethical guidelines while dealing with species-specific inaccuracies, excessive ...