Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- NTNU - Norwegian University of Science and Technology
- Newcastle University
- Technical University of Munich
- The University of Manchester
- University of Exeter
- Bucharest Universty of Economic Studies
- Eindhoven University of Technology (TU/e)
- Iquadrat Informatica SL
- NTNU Norwegian University of Science and Technology
- Aalborg University
- CNRS UMR6614 CORIA
- Centrale Supelec
- Cranfield University
- Delft University of Technology (TU Delft)
- ETH Zürich
- Ecole Centrale de Lyon
- Fritz Haber Institute of the Max Planck Society, Berlin
- GFZ Helmholtz-Zentrum für Geoforschung
- Ghent University
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Hereon
- IMEC
- Imperial College London
- Imperial College London;
- KU LEUVEN
- Leiden University
- Linköping University
- NVIDIA Denmark
- Nature Careers
- Queensland University of Technology
- Sorbonne Université, CNRS, Inserm
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- University of Birmingham
- University of Bologna
- University of Essex;
- University of Galway
- University of Newcastle
- University of Surrey;
- Uppsala universitet
- Utrecht University
- Wageningen University & Research
- 33 more »
- « less
-
Field
-
consumption of UAVs. A distributed ML algorithm based on Liquid State Machines will be designed to adaptively optimize resource assignment and UAV positioning. WP3: Algorithms Validation and Use Case
-
science or systems engineering. Knowledge of AI/ML algorithms, particularly graph neural networks and reinforcement learning, is highly advantageous. A keen interest in distributed computing, IoT architecture, and
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 days ago
(Loreley, CEDAR and MAGELLAN). This project aims to design and develop an open-source management solution for a federated and distributed data exchange platform (DXP), operating in an open, scalable, and
-
algorithms suitable for multi-static and distributed geometries. Understanding the performance limits of such systems, including sensitivity to synchronisation errors, geometry, transmit time, and partial
-
in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
-
), such as solar photovoltaics (PV), electric vehicles, heat pumps, and storage systems, into distribution networks. Delivering this transition requires coordinated innovation across both active distribution
-
department in the ISSA expertise center that develops advanced AI solutions involving AI models, algorithms, implementations, sensors and hardware for small scale edge up to large scale distributed and hybrid
-
The increasing prevalence of autonomous systems in dynamic, human-centred environments, such as smart transportation networks and distributed IoT infrastructures, demands decision-making frameworks
-
, which options become visible, and how agency is distributed between humans and algorithmic systems. In this PhD project, you will study AI-supported decision-making from a representational perspective
-
practice offers no robust, scalable, or provable mechanism to guarantee this right once a model has been trained. The distributed nature of federated settings introduces unique challenges for unlearning