Backyard Paradise

SunCo Sunspaces was founded in 1999 by three individuals familiar with the sunroom industry in Manitoba who wanted to bring back traditional values. We currently have our main sales dealership entitled Backyard Paradise by SunCo and 3 other dealerships across Manitoba and western Ontario. SunCo currently employs 19 employees and subtrades on a regular basis. […]

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Product Development to Scale Low Carbon Business Intelligence

Acuicy Inc. is a growth-stage startup based in Halifax. The organization is an innovative business intelligence platform that provides tailored, data-driven insights, helping managers identify and deploy their company’s most capital-efficient clean technology solutions. Acuicy leverages the power of business intelligence, climate science, and economics to provide effective decarbonization strategies and delivers custom business cases […]

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Smart waste management app: efficient waste separation from visual footprints – Smart waste classification framework

Plastic has become ubiquitous in our daily lives, finding its way into a wide variety of products and applications. However, the extensive use of plastic, coupled with improper disposal and inadequate recycling practices, has significant economic and environmental consequences, posing a severe threat to our planet. In Canada alone, a staggering 3 million tons of […]

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Multi-task Reinforcement Learning for Video Games

An important component of modern video games is the non-player character (NPC), moving entities in-game that are not controlled by a human, which may cooperate with, oppose, or otherwise interact with the player. For an NPC to interact with the game word it must often perform complex tasks that are difficult to program explicitly. Research […]

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AI-Based Content Adaptive Video Compression

The rapid evolution of video resolution has significantly increased the video bitrate requirement, making data transfer a challenging task for data-intensive applications like video conferencing, cloud gaming and game streaming. With the rise of machine learning, studies have shown the potential of embedding conventional video compression algorithms with AI-based methods to enhance their performance. This […]

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ML/AI LLVM Methods to Map Code to Core Architectures and Optimize

Modern compilers have increasingly large number of complex optimizations to meet the prevalent demand of using Machine Learning (ML) and Artificial Intelligence (AI) in gaming and other applications. Optimization passes are program and architecture depend. Therefore, selecting the best optimizations in the most optimal ordering is a difficult task. While leveraging ML methods in compiler […]

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Efficient Avatar Generation from Arbitrary Images

AR/VR may be the next frontier for online human communications and interactions. The ability to produce photorealistic avatars dramatically improves the feeling of immersion and connection in applications utilizing AR/VR. However, current methods of face capture are time-consuming and involve expensive cameras and sensors. In this project, we explore deep learning methods for generating face […]

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Advancing Generative Models for Vision and Language: A Collaborative Study with ServiceNow Research and ÉTS Montréal

This research project, a collaboration between ServiceNow and ÉTS Montréal, aims to improve generative AI (e.g. artificial intelligence models that learn to generate data), which can impact various creative and knowledge-based industries like graphic design, content creation, and research. The project aims to create advanced generative models that can generate a variety of data types, […]

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Modern LLVM mapping of sequential code to task-/data-flow models

The high-level goal is to develop technology to enable more C++ applications to run well on many-core architectures such as recent AMD CPUs, GPUs, and combinations thereof (APUs). We expect to improve the capabilities of compilers like clang/LLVM to identify task-level parallelization opportunities that are not able to be identified today.

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Statistical Analysis and Machine Learning Approach to Retail Sales Forecasting Based on Localized Weather Features

In recent years, weather has been recognized as an important factor that can have a significant impact on consumer behavior in certain industries. Predictive models that incorporate weather data can help industries to adjust their inventory and marketing strategies to optimize sales. This research project focuses on using machine learning and data analytics to determine […]

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