An artificial intelligence (AI) paper written by Waterloo systems design engineering researchers edged out work by 21 other leading research institutions and companies at a prestigious AI conference.
Alexander Wong, a systems design engineering professor, and Javad Shafiee, a systems design engineering doctoral candidate, were honoured with the best paper award in the Neural Information Processing Systems (NIPS) conference’s efficient deep learning workshop for their work in operational AI using evolutionary deep intelligence.
The Waterloo Engineering researchers competed with top universities including Stanford, University of Cambridge, Université de Montréal, ETH Zürich, and Arizona State University, and corporations including Nvidia, Google, Microsoft, Intel, Amazon and NEC Lab.
Shafiee presented the paper entitled Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding at the conference held December 5 to 10 in Barcelona, Spain. The 30th annual multi-track machine learning and computational neuroscience conference included talks, demonstrations, symposia and oral and poster presentations of refereed papers.