We recently had a paper accepted to the 2019 European Conference on Machine Learing (ECML) on the topic of modelling of combustion processes using Deep Neural Networks. This is an exciting topic that could lead to huge improvements in spead of design and testing for combustion engines. We'll post the camera ready once it's updated. Looking forward to presnting this in Wurzburg, Germany in September! Read more about Paper accepted to ECML 2019
As spring continues to tease us with cold and rain we all could use some good news to cheer us up, well it seems we've been storing it up recently, there are several exciting achievements to highlight:
Laura McCrackin has been awarded the Ontario Graduate Fellowship, a very competitive program to fund a year of her PhD thesis work!
I'll be on a panel during this event bringing together industry, government and academic leaders on the role technology can play in threat mitigation, clean infrastructure, climate innovation and adaptation. My focus is on the potential for...
Artificial Intelligence and Machine Learning do so much good in the world already but it is critical to target new, broader ways AI/ML can benefit society and to prepare for pitfalls and risks that will arise.
The UWECEML Lab will have three presentations at this year's Canadian AI Conference at York University in Toronto in May 2017. If you'll be at any of the AI, GI or CRV conferences and want to chat about AI/ML/RL look us up.
Decision Assist For Self-Driving Cars. - Sriram Ganapathi Subramanian, Jaspreet Singh Sambee, Benyamin Ghojogh and Mark Crowley
Combining MCTS and A3C for Prediction of Spatially Spreading Processes in Forest Wildfire Settings. ...
The lab has piled up three publications this month:
Our work on modelling and predicting Spatially Spreading Processes, in this case Forest Wildfires, using raw image data. Both these papers highlight different components of our approach of using Reinforcement Learning to automatically learn agent-based models of fire spreading on a landscape from readily avaialble satellite and weather data. the first paper builds on out work from RLDM last year. We will be presenting this work at this year's...