Développement d’un compilateur AOT pour Python

Le projet porte sur le développement de fonctionnalités d’un compilateur pour Python (un logiciel produisant des instructions machine pour le langage de programmation Python). Le développement de ces fonctionnalités augmentera la compatibilité du compilateur avec la syntaxe de Python et permettra d’obtenir des gains de performance. Ces deux points faciliteront l’adoption de cette technologie par […]

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Summer Associate

Penrose Partners is a blockchain startup firm that provides transactional, educational, and corporate consulting/material production services to businesses, institutional investors, and disruptive tech companies in the blockchain space. We are the trusted advisor that bridges the gap between businesses with great ideas, and blockchain adoption. In June 2021, Penrose Partners launched the i3 Incubator program […]

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Synthetic Data Case Studies

Replica Analytics provides technology for generating synthetic data. This data is generated from real data. Although it shares statistical properties with real data, it is not real data. Replica Synthesis is Replica Analytics’ flagship product that generates synthetic data. The intern will carry out a case study by identifying real data to generate synthetic data, […]

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Taal Innovation Advisors Summer Internship

Taal Innovation Advisors Inc. (“Taal”) is an innovation firm focused on business, and technical consulting, and go-to-market execution for SME sized innovative businesses. Its clients primarily include small startups that have or are receiving their first few rounds of funding and looking to enter the market. Taal currently has experienced professionals that work and operate […]

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Stage en exploration minière 2022

Ce projet cherche à donner des expériences de stage appliqué dans le domaine de l’exploration minière à des étudiants au niveau maîtrise. Ces stages seront accueillis par des compagnies minières à la recherche d’augmenter leurs ressources minérales sur leurs projets matures ou qui veulent évaluer le potentiel de leurs propriétés sur des projets d’exploration naissants. […]

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Machine learning enhancements for lunar exploration

The industrial partner, Mission Control Space Services (MCSS), is a participant in an upcoming mission to launch a rover to the moon. In this project, Western students will assist MCSS by developing algorithms using techniques from deep learning to support the lunar mission. The interns will have two primary responsibilities. One intern will develop a […]

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Data Drift Detection and Monitoring

When a previously trained machine learning model is put into production, the production phase begins where said model makes predictions on the inputs provided to it. When the distribution of production data changes over time, we talk about data drift. Then the model is likely to become less efficient, or even obsolete. The project consists […]

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Développement d’une méthode non-supervisée d’apprentissage profond pour la détection de défaillance à partir de signaux acoustiques et vibratoires

L’objectif du projet est d’automatiser la reconnaissance des signaux acoustiques et vibratoires a l’aide d’un modele d’apprentissage profond. Cette reconnaissance est la premiere etape du developpement d’un modele de pronostic et de suivi de !’evolution de la degradation des alternateurs. Ces signaux sont issus de mesures effectuees periodiquement sur les alternateurs durant leur fonctionnement. Les […]

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An automatic syringe filling system that uses robotic arms controlled by deep learning algorithms to help pharmacy technicians with their tasks

In certain scenarios, in the hospitals, oral medications need to be administrated in a liquid form using syringes in order to avoid complications such as asphyxiation due to the blocking of airways, which is common in children. Consequently, a pharmacy technician may need to fill up hundreds of syringes per day for different units at […]

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Guided Catheter System Based on Smart Polymeric Brush Coating for Vascular Surgery

The main cause of cardiovascular disease (CVD) is narrowing of blood vessels due to atherosclerosis. In such cases stents are chronically implanted in -arteries to physically expand and scaffold the vessels. Each year, ~90,OOO stents are implanted in Canadians. All these minimally invasive procedures involve the use of a catheter. Currently available catheter tubes advance […]

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Consistent and robust Generative Models for Volatility Surfaces

Implied volatility surfaces are a key concept in financial markets, central to the pricing, risk management, and regulation of financial instruments. Despite their importance, numerous mathematical questions about implied volatility surfaces still confront practitioners and regulators today, such as how to fill in missing values in a given surface. Previous MITACS-sponsored work has shown that […]

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