You might have asked Google Assistant what’s the weather like today, or a choice for Valentine’s Day dinner; have you imagined whether Google Assistant could be your assistant at work too, answering questions such as “Hey Google, what day generates the most revenue?”? At SOTI, we are turning this idea to reality, by integrating our […]

The past two years have shown increasing distrust through online division, polarizing protests and strikes, and destructive riots. This problem has gotten worse due to our unverified, disorganized, and time consuming citizen and stakeholder engagement systems, especially social media, focus groups and town halls, and voting. In order to solve the problem of increasing distrust […]

Road safety affects everyone, not just Geotab customers. With several years of driving and environmental data from over 2 million connected vehicles we have an opportunity to make our customers safer, as well as our communities and cities. To reduce accidents, we need to understand both the driving behavioural patterns that are predictive of accidents, […]

Modern mobile phones have become the dominant photography device in recent years. However, their users are often not professional photographers. Thus, they lack the skills of choosing proper lighting, proper shot framing, and proper settings on the camera. In particular, photographs are often taken in unfavourable conditions where the scene of interest is obstructed by […]

Fraudsters and money launderers have no place in today’s digital economy. To protect against fraud and financial crime, businesses online need to know and trust that their customers are who they claim to be – and that these customers continue to be trustworthy. Jumio uses the power of AI, biometrics, machine learning and certified liveness […]

Road safety affects everyone, not just Geotab customers. With several years of driving and environmental data from over 2 million connected vehicles we have an opportunity to make our customers safer, as well as our communities and cities. To reduce accidents, we need to understand both the driving behavioural patterns that are predictive of accidents, […]

Deep neural networks (DNNs) have achieved great success in many visual recognition tasks. However, existing state of the art deep neural network models are computationally expensive and memory intensive, hindering their deployment in devices with low memory resources or in applications with strict latency requirements. Therefore, a natural thought is to perform model compression and […]

With the ultimate goal of enhancing Nexxt Intelligence’s market research SaaS platform, inca, this project will create a flexible framework for facilitating conversations with consumers using an agent powered by natural language processing and deep learning models. This ‘discourse representation framework’ will be capable of engaging with consumers in fluent English, and is designed to […]

3DSémantix cherche à intégrer des éléments d’apprentissage automatique (Machine Learning) dans ses nouveaux produits pour le domaine de la fabrication additive (3D Printing) industrielle. Le but de ce projet est de répondre à des besoins concrets de l’industrie et de livrer une solution logicielle professionnelle et exploitable. Plus spécifiquement, le projet cherche à utiliser des […]

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 […]

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, […]

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 […]