An Innovative Methodology for Building Better Deep Learning Tools for Real Word Applications
Welcome to NeCOL
NeCOL has the relevant scientific goal of the development of efficient deep learning (DL) based on the use of co-evolutionary algorithms (CEAs) for real world applications. Hence the name of the project, Neural CO-evoltionary Learning or NeCOL. We want to tackle applications of importance in present societies, such as cybersecurity and Smart Cities (SC).
This project is funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Individual Fellowship grant agreement No 799078. NeCOL involves Jamal Toutouh, PhD. as the Marie Sklodowska-Curie fellow and main researcher and two research groups: NEO (Networking and Emerging Optimization) at the University of Malaga (UMA) in Europe (Spain) and ALFA (Anyscale Learning For All) at the Massachusetts Institute of Technology (MIT) in USA.
