Param Popat – Deep Reinforcement Learning for Minimizing Traffic Congestion & Pollution
Victor Geislinger – Natural Language Processing for Sign Language Translation
Madis Lemsalu – Deep Reinforcement Learning for Smart Water Networks
Valentin Khan – Multi Agent Reinforcement Learning for C02 Reduction Simulation
Tariro Chagwiza – AI for Cholera Case Detection in Rural Zimbabwe
Devansh Trivedi – AI augmentation for Climate related Government Decisions
Rayed Bin Wahed -Smart Municipal Waste Collection By Object Localization
Oz Ramos – Handsfree interfaces for low powered devices using monocular RGB webcams
Adam Williams – Meta Learning for Teacher Evaluation
Tae-hoon (Kurt) Koo – Advanced One-shot Segmentation with small medical data
Ilya Arbabi – An AI solution for statelessness and immigration
At School of AI, we believe that artificial intelligence has the ability to solve some of the worlds most pressing issues, from poverty to climate action. The School of AI Fellows have a broad mandate to think through which kinds of AI and ML research are likely to bring the most value towards the 17 sustainable development goals outlined by the United Nations, and to share ideas with their local School of AI community, which are composed of like-minded individuals.Our 4 research area suggestions are below, but applicants may choose any area they find most interesting.
Each will receive
$1,000 in GCP credits to pursue their project, no strings attached.
A Personal Advisor
Assistance submitting their work to popular journals and conferences.
We are no longer accepting application at this time.