Elite Athletes Seasonal Training Plans Performance Potential Improved Five-Fold using Artificial Intelligence


A study to be presented at the IEEE Congress on Evolutionary Computation 2019 in Wellington, New Zealand shows how the performance potential of elite athletes can be improved five-fold using an approach to Artificial Intelligence inspired by biological evolution. The research is a collaboration between STATSports and the UCD Natural Computing Research & Applications Group as part of the Science Foundation Ireland funded Lero Software Research Centre undertaken by Mark Connor, Dr David Fagan and Professor Michael O’Neill.


EvoStar Outstanding Students 2019

UCD Natural Computing Research & Applications Group researcher Nam Le has been listed as an EvoStar Outstanding Student of 2019 and is shortlisted for the EvoStar 2019 Best Student Paper Award for his research on “The Evolution of Self-taught Neural Networks in a Multi-agent Environment“. Nam is investigating the interplay between Learning and Evolution as means of adaptation in complex environments.

The Elephant in the Room

Professor Michael O’Neill and Dr David Fagan have published  “The Elephant in the Room – Towards the Application of Genetic Programming to Automatic Programming” where they discuss how the field of Genetic Programming , representing one of the largest literatures in Artificial Intelligence, should go back to its roots and become re-focused towards the problem of automatic software creation. The research was presented at the GPTP Workshop in Ann Arbor, Michigan in May 2018 and has recently been published in a book by Springer (Genetic Programming Theory and Pratice XVI) in 2019.

Mobile device data rates tripled using Artificial Intelligence

Mobile device data rates tripledResearchers from the UCD Natural Computing Research & Applications Group in collaboration with Bell Labs published in the IEEE/ACM Transactions on Networking journal (Vol.27 Issue 1) a paper titled “Automated Self-Optimization in Heterogeneous Wireless Communications Networks” where they demonstrate that their approach to Artificial Intelligence based on Evolutionary Computation more than triples  peak data rates, and show how their approach can be used by network operators to flexibly tune the tradeoff between peak rates and fairness across all mobile network users. The research is supported by Science Foundation Ireland through an Investigator Award to Prof Michael O’Neill who is a Full Professor of Business Analytics at the UCD School of Business.

Two new PhD’s

Congratulations to David Lynch and Stefan Forstenlechner who both successfully defended their PhD theses this month on “Automated Self-Optimisation in Heterogeneous Wireless Communications Networks using Techniques from Evolutionary Computation” (Lynch) and “Program Synthesis with Grammars and Semantics in Genetic Programming” (Forstenlechner).

Handbook of Grammatical Evolution

To celebrate 20 years since the first publication on Grammatical Evolution at the First EuroGP in 1998 in Paris, France the original authors and inventors of Grammatical Evolution have joined forces to bring together a collection of chapters contributed by leading researchers in the field of Genetic Programming.