Les dynamiques du jeu de rôle dans les jeux vidéo émergents

Dans le but d’offrir des expériences narratives toujours plus enrichissantes, Ubisoft Montréal en partenariat avec Nicolas Galipeau de l’Université du Québec en Abitibi-Témiscamingue développeront un prototype de jeu poussant les limites de la narration en jeu vidéo. En développant un nouveau système d’intelligence artificielle répondant aux actions du joueur, ils créeront conjointement un prototype de […]

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Simulating bead deposition and heat transfer mechanisms for metal based additive manufacturing processes for complex components

Additive manufacturing (AM) is a process family in which layers of material are deposited to create components. It can also be used to repair complex 3D parts. The scope of this research is to establish a process planning framework for metal-based bead deposition processes that considers the various heat cycling, materials, and process parameters. The […]

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Heterogeneous Compilation for P4 and Caching for high-performance networking

Today’s data-center network services cover a broad spectrum that evolve rapidly which means that regularly new services need to be deployed in production networks in a timely manner. Using network programmability, a network programmer can write a precise specification of what the network behaviour should be, and this specification is translated by a compiler and […]

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Accelerate Transaction Latency of Pool Mining in Cryptocurrency Networks

In this project, using such mainstream cryptocurrencies as BitCoin and Ethereum as representatives, the intern will analyze the transaction collection strategies of their mining pools, and then collect transactions and the corresponding blocks data to build a large dataset, from which the computing power of different mining pools and their proportions will be analyzed, together […]

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Impact of Post-Quantum Cryptography on PKI, Common Libraries, Protocols and Crypto Agility Requirements

Advances in quantum computing have Entrust Datacard and their customers concerned about whether the industry is ready to move to post quantum cryptographic algorithms, particularly for PKI use cases. Entrust Datacard and University of Ottawa will test the quantum-readiness of commercially-available PKI. The end goal is to provide guidance to the community about the impact […]

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The control tower of the future

In our vision, each human operator participating to an emergency response mission should equipped with a portable mobile command center that collects, elaborates and displays the meaningful information generated within the area of operations. In such scenario, the availability of a reliable network able to offer the required performance and reliability to an heterogeneous set […]

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A Deep Learning Approach to Soft Sensor Design and Process Optimization for an Industrial Nickel Extraction Process

The objective of this project is to use artificial intelligence (AI) approaches to solve complex industrial problems. The two biggest advantages of AI-based approaches are the ability to continuously learn and also learn adequately from historical data. Traditionally, many process information are unmeasurable during live operations because of instrumentation limitations. Also, plants are not sufficiently […]

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Stateful Intrusion Detection using Algebraic State-Transition Diagrams

Increasingly, cyber threats evolve targeting companies, industries and governments. As defense systems are strengthening, threat actors developed new tactics, strategies and techniques to break down security perimeters. Generally, the security of the perimeters are enforced by multiples intrusion prevention and detection tools responsible to provide proactive insights, real-time insights and operational insights for the detection, […]

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RLCapture: A deep reinforcement learning based control strategy forswitching between motion capture inspired controllers.

Making robots walk and balance as well as humans is extremely difficult. New techniques involving machine learning have shown promise in getting robots to mimic the movements of humans recorded using motion capture technology widely used for videogames and movies. While these techniques show promise, they are still in development, and have difficulty switching between […]

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LAFORGE: Log Analytics For Operational Intelligence

The goal of this project is to explore the use of log analytics and machine/deep learning techniques to improve Ubisoft operational intelligence. Logs contain a wealth of information, but often hindered by the lack of best practices, tools, and processes. Despite the importance of logging, the area has not evolved much over the years. At […]

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