Elaheh Jalalpour, Master’s candidate
David R. Cheriton School of Computer Science
Ahmed Khan, Master’s candidate
David R. Cheriton School of Computer Science
Neurobiologically-plausible learning algorithms for recurrent neural networks that can perform supervised learning are a neglected area of study. Equilibrium propagation is a recent synthesis of several ideas in biological and artificial neural network research that uses a continuous-time, energy-based neural model with a local learning rule. However, despite dealing with recurrent networks, equilibrium propagation has only been applied to discriminative categorization tasks.
Angshuman Ghosh, Master’s candidate
David R. Cheriton School of Computer Science
As Judge Brett Kavanaugh faces the U.S. Senate Judiciary Committee during the second day of his Supreme Court confirmation hearings, debate rages on Capitol Hill if sufficient time is available for senators to substantially review the 42,000 documents released the night before his hearing was scheduled to begin concerning his time in the George W. Bush White House.
Computers can now learn to solve networking problems for themselves, a study from the University of Waterloo has found.
Pirathayini Srikantha, Department of Electrical and Computer Engineering
Western University
On Friday, September 28 we will launch the new Cybersecurity and Privacy Institute.
The Institute brings together under one umbrella Waterloo’s 40 security researchers from across the University. These renowned experts are collaborating to uncover new approaches to security and privacy while also partnering with corporations and government to advance the application and implementation of cybersecurity and privacy technologies.
Filip Pawlega, Master’s candidate
David R. Cheriton School of Computer Science
Irish Medina, Master’s candidate
David R. Cheriton School of Computer Science
Smart water meters have been installed across Abbotsford, British Columbia, Canada, to measure the water consumption of households in the area. Using this water consumption data, we develop machine learning and deep learning models to predict daily water consumption for existing multi-family residences. We also present a new methodology for predicting the water consumption of new housing developments.
Professors John Brzozowski and Lila Kari, Bai Li (BCS 2017) and their colleague Marek Szykuła from the University of Wrocław in Poland have received the Sheng Yu Award for best paper at CIAA 2018, the 23rd International Conference on Implementation and Applications of Automata.