Process Optimisation of Smart Locks for self directed, automated keyless check ins in the Hospitality Industry for any lock brand and type.

The proposed R&D project with Linkbase is focused on propelling Canada’s hospitality industry into the digital age. While the sector may be lagging behind counterparts in places like Asia that are leading the digitized hospitality space, this project aims to bridge that gap. By harnessing technology to connect locks and streamline digital check-ins, property managers […]

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SMART Technologies for the Classroom: Supporting Collaboration and Inquiry Year Two

Since 1991 SMART Technologies has infused classrooms around the world with powerful interactive technologies, principally the “SMART Board” which sets a standard for interactive whiteboards. The SMART Board has been featured in many innovative designs for learning and instruction – some coming from academic research, and many from classroom teachers as they integrate touch boards […]

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L2M – AI-MD Validation Proposal

AI-MD is an AI-driven symptom checker that allows people to monitor their health and scan their body for suspected illness and disease. Millions of people are using symptom checkers online every month that only allow them to describe thier symptom information using text or checking off boxes. Not only are these tools not accurate, but […]

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Automation of next generation photovoltaic measurement capabilities

The proposed research project at the Turak Functional Nanomaterials Research group at Concordia aims to enhance the efficiency of solar energy data measurement and analysis from emerging solar cell technologies. In a world increasingly focused on sustainable energy sources, efficient utilization of solar power is paramount. The lab manages vast data, including complex images of […]

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L2M – ACTIVELY SOBER AI MODEL FILTER FOR INFLUECES IN SUPPORT OF ALCOHOL CONSUMPTION

The Actively Sober app is an ambitious project that combines advanced artificial intelligence with a keen understanding of cultural nuances to address the widespread issue of alcohol misuse. By employing AI algorithms that continuously scan digital platforms to identify and block alcohol-related content, the app aims to create a supportive environment for users, helping them […]

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Automated Software Vulnerability Patching using Dynamic Symbolic Traces

Deep learning (DL) has emerged as a viable means for identifying software bugs and vulnerabilities. The success of DL relies on having a suitable representation of the problem domain. However, existing DL-based solutions for learning program representations have limitations – they either cannot capture the deep, precise program semantics or suffer from poor scalability. We […]

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Développer des modèles pour la détection d’évènements de bas-niveau basés sur les textures des codes haptiques

D-BOX conçoit et fabrique des systèmes de mouvement haptique pour le cinéma maison et le cinéma en salle qui offrent une expérience immersive en générant des effets de mouvements et vibrations synchronisés avec l’action à l’écran. Les formes d’ondes d’effets haptiques utilisées pour activer les sièges sont actuellement générées manuellement à travers un processus fastidieux […]

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Génération de modèle 3D par IA au sein d’une PaaS de rendu 3D temps réel.

Chez 3dverse, nous sommes persuadés que débloquer le potentiel de la 3D en temps réel est la clé pour faire avancer l’innovation. C’est pourquoi notre équipe construit la première véritable plateforme de rendu 3D en temps réel (PaaS). Nous savons que cette technologie aura un impact décisif et changera la façon dont les gens visualisent, […]

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