Demonstration-Based Initialization of Reinforcement Learning Algorithms for Efficient Robotic Control

Kindred’s Sort product is a robotic system that operates in e-commerce distribution centers to sort and handle apparel and general merchandise. The deployed system is controlled through a combination of artificial intelligence and human-in-the-loop teleoperation. The proposed project involves applying techniques from artificial intelligence (specifically machine learning and reinforcement learning) to improve the ratio of […]

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An Artificial Agent for Light Switch

Smart home devices with artificial intelligence (machine learning and deep learning) will change our lifestyles in the near future. The objective of this project is to develop an artificial agent, which will power the smart light switches produced by ecobee. The artificial agent, a machine learning program, will use the data collected by the sensors […]

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Recommendation system for retail shopping

People rely on recommendations from other people, friends’ word, news reports, and travel guide and so forth. Recommendation systems assist people to sift through available books, web pages, restaurants, and grocery products. [16]. We want to build a recommendation flow in the retail industry to serve Canadian citizens better. The system will understand the customers […]

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Smart Grid Diagnostics using Power Line Communications

Power Line Communication uses the existing infrastructure of electrical power lines for high frequency data transmission. The availability of such power line communication modems across the grid, which are typically used for enabling smart-grid connectivity, also gives us the opportunity to extract insight into the nature of the grid. This includes investigating the health of […]

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UV Mapping Assistance through Deep Learning

The goal is to create a conversation loop between 3D designers and artificial intelligence programs. This will help the AI provide suggestions to the designer, while the designer provides the AI with feedback. This can help make it easier for designing complicated objects as well as complicated textures that belong to the surface of 3D […]

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Natural Language Understanding and Generation

NLP techniques have been used and tested for several years in different environments and for different applications/domains. The performances of the Natural Language Understanding (NLU) toolbox are closely related to the quality of the text but also on the specific knowledge-domain. Social Media content typically use short sentences with simple grammar and tend to include […]

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Talent Mobility for Innovation & Growth: Case of Shanghai

States worldwide compete in an intensifying race for talent, mainly for professionals in Science, Technology, Engineering, and Mathematics (STEM). This project investigates how government and industry actors at the level of technology clusters (Shanghai) are able to use existing regulatory frameworks to attract and retain global STEM talent. Although China has relied on ethnic returnees […]

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Development and evaluation of an autonomous UAV-photogrammetry system for metric infrastructure inspection

In this project, we will develop and evaluate an autonomous, unmanned aerial photogrammetry system for metric inspection of hard-to-reach vertical infrastructures, such as telecommunication towers and high-rise buildings. Metric inspection means identifying and measuring the facts that may have an impact on health conditions of assets, such as changes in tower alignment or deformations of […]

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Up-res Deformation Field Learning for Highly Detailed Data-driven Liquids

The objective of the proposed project is to procedurally increase the visible resolution of a coarse liquid simulation within a machine learning pipeline for the visual effects (VFX) industry. We introduce an optical flow-based learning approach to model the deformations between a coarse input liquid simulation and its equivalent at a higher resolution. The deformation […]

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WP 3.1.2 Next Generation Product Cost Tracking

Ciena would like to drastically improve its ability to track, analyse and forecast the cost of products. Building on experience with the current tool suite and business practices, Ciena aims to develop a next-generation product cost analytics solution that will run on its existing IT infrastructure and allow capture, analysis and modeling of historical as […]

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Commande non linéaire d’un robot parallèle à câbles dédié à la réadaptation des membres inférieurs

L’utilisation de systèmes robotiques en réadaptation médicale présente un certain nombre d’avantages par rapport à la thérapie traditionnelle, tels qu’une bonne répétabilité de mouvement, une assistance contrôlable avec précision pendant les mouvements et des mesures de performance quantifiables. Récemment, une nouvelle classe de systèmes robotiques, appelés robots parallèles à câbles, a été introduite dans le […]

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Théorie PAC-Bayésienne pour l’apprentissage de réseaux de neurones profonds

De nos jours, l’analyse des données est au coeur de plusieurs nouvelles technologies, surtout avec l’arrivée de l’ère du « big data » et l’essor du « deep learning ». En effet, les réseaux de neurones profonds appliqués à des données massives révolutionnent certains domaines comme la vision, le traitement de la langue naturelle et […]

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