Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ; The University of Manchester
- Aarhus University
- Cranfield University
- DAAD
- Technical University of Munich
- University of Groningen
- ;
- ; Cranfield University
- ; Technical University of Denmark
- ; University of Warwick
- ; University of York
- Aalborg University
- Blekinge Institute of Technology
- CWI
- ETH Zurich
- Fraunhofer-Gesellschaft
- Ghent University
- Imperial College London
- Lulea University of Technology
- RMIT University
- Technical University of Denmark
- University of Adelaide
- University of Cambridge
- University of Southern Denmark
- Uppsala University
- 15 more »
- « less
-
Field
-
biased, outdated, or sensitive data? That's where the project TRAI comes in. This research project aims to develop machine unlearning algorithms to selectively erase specific knowledge from trained AI
-
are undergoing rapid changes, with increasing adoption of distributed renewable generation (from PVs and wind turbines), new forms of demand (from EV charging, heating) and storage. This poses significant
-
multiscale analysis of the mass distribution, as well as that of the flow field structure, and of the force and tidal field that has been shaping the cosmic web. The basic detection algorithms to infer
-
our software development team, developing novel scientific algorithms and applications in the areas of spectroscopic analysis and mining of the science data catalogues extracted from the pipelines
-
://cheddarhub.org The work is envisioned to have great impact on design and development of intelligent AI/ML orchestration algorithms in real 6G experimentation test beds. The applicant is envisioned to further
-
on: 1. Finite Element Simulations & Experimental Data Collection: High-fidelity simulations and scaled prototype testing will generate data on stress distribution, local buckling, and damage evolution. 2
-
Astronomical Institute, the last 2 years at Tartu Observatory. The PhD research project has the purpose to analyze and combine the weblike distribution of galaxies in large galaxy redshift surveys, with
-
algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised
-
of distributed MIMO, and/or coordinated multi-AP operation (under study in the Wi-Fi 8 standardisation workgroup), using Hardware Description Language on FPGA, based on the open-source openwifi project (https
-
03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and