This project aims to explore ideas from a machine learning technique called Fibered AutoEncoders (FAE) for molecular representation learning. This technique will allow us to perceive the molecular space through a topological lens using the concept of fiber bundles, and it will give us a disentangled multi-level encoding of molecules. Since the molecular space is […]

Innovation in electric mobility and energy storage from renewable energy resources are two key drivers in the fast growth of a battery industry that is striving to enhance performance of battery systems with great urgency. HQ Center of Excellence is actively working on the development of an advanced battery management system (BMS) and intelligence platform. […]

Image composition is an operation that incorporates an object extracted from a source image to incorporate it inside a target image. This simple operation has a lot of practical applications in the advertisement, entertainment, and movie industries. However, it is tedious for an artist to achieve realistic image compositions. Indeed, it requires different lighting, shadows, […]

The project involves the development of a human resources information management system using Microsoft’s Office 365 including the Power Platform, Share Point and Teams. This will replace an aging information management system and will benefit the partner non-profit organization greatly by modernizing technology systems, improving work processes, and creating efficiencies HR information management.

The Quantum Algorithms Institute (QAI) brings together industry, academia, and the government of British Columbia and launches the first Quantum Software engineering bootcamp. The goal is strengthening and growing the quantum computing ecosystem in British Columbia and Canada. A major pain point for quantum computing startups is to onboard new researchers and train them on […]

L’objectif de ce projet est de mettre en place un système de calcul fonctionnant à base de l’informatique quantique, d’une série de prédiction, les performances des athlètes de baseball. Nous allons relever des données basées sur des gestes techniques et des habiletés des athlètes, sur l’aspect tactique, les données axées sur la stratégie de jeu […]

This project aims to solve the problem of how to accurately locate and orient a drone inside a hangar to acquire still images and/or video. The images and/or video will be used in conjunction with an AI/ML algorithm to efficiently identify aircraft defects. The drone-based approach to defect detection will be compared to traditional techniques […]

This project will give the intern the opportunity to explore the current state of the educational support network within Asian academia, which complements the intern’s knowledge and experience on the equivalent in Canada. By analyzing the new digital resources in terms of their purposes, impact and development processes, the intern will provide the organization with […]

The proposed project will have the intern contributing to software development on three core projects: Development of an autofocus system that can be integrated with mechanical control of the microscope objective/stage, improving the image processing pipeline through refinements to database integration and UI/UX, and improvements to experiment flow/reporting by integrating report templates into the reporting […]

One of the main issues with many quantum computing platforms is that not all quantum bits (qubits) can interact directly. This results in an overhead in the number of operations required to run an algorithm and ultimately in longer run times that can become prohibitive. Entangled Networks is currently developing hardware and software solutions to […]

Streaming video applications in the home (video doorbells, security cameras, babycams, robot vacuums etc.) have started to become commonplace. Automatically detecting events of interest in such video streams can help to reduce manual effort from users in sifting through false alarms, enhance user safety, comfort and satisfaction, as well as enable new applications in areas […]

Multi-stream execution is a technique in GPUs that allows multiple operations/kernels from the same program to effectively use GPUs without explicitly stating the affinity of threads to the cores. Several recent optimizations in Machine Learning (ML) algorithms leverage multi-stream execution. While performance modeling of ML applications is well studied under single-stream execution, performance models of […]