Sliike is developing an App that is unique and in the market space. The App is also tailored for the English speaking and French customers and clients in Canada. We are currently at the advance stage of the Mobile App design. At this stage, we need more hands to support our Internal Mobile App Developer […]

The existing document understanding systems use machine learning methods, natural language understanding and text analysis, to validate structured trade contracts for language and economic term correctness. The system is now being expanded to allow general document understanding across a wide variety of financial documents, beginning with a focus on customer provided reference material. The proposed […]

Seleste is developing an app to integrate with our smart glasses hardware. For this project the intern will help us develop this app which includes two major components. The focus will mainly be the React Native app where the intern will add features to our app and setup our in-house volunteer network for users to […]

Procedural content (text and video) is abundant on the internet, and is regularly used in our daily lives, e.g., when we follow a cooking recipe to make a dish, or watch an instructional furniture assembly video. Automatically understanding such content allows for the development of various types of AI assistants, including those that can provide […]

Traditionally, software for home products could not be changed once they were shipped. Furthermore, they could not run complex machine learning (ML) models because their computing and storage capacities are limited due to budget constraints. Recent advancements of cloud infrastructure, however, may allow such products to collect a large amount of data and continuously update […]

The goal of cross-modal recipe retrieval is to design systems that are able to find a digital recipe, given the user’s image of the food, or find its image, given its ingredients or cooking instructions. For such a cross- modal retrieval task, a common image-text representation space is needed to embed the semantic information of […]

Observable Market Data is critical for effective valuation of trades for risk management purposes within the investment bank. The valuation process requires the existence of good quality data day by day, and dating back into the mid-2000’s. Not all assets have highly liquid data available either historically or at present, and there is significant interest […]

The core value of Nureva is to provide reliable and easy-to-use audio-conferencing products that offer a good user experience and maximize productivity. A very important factor of that is to output clean audio which oftentimes in its raw form is contaminated with environmental noise, reverberation, and echo. These problems have been researched using traditional signal […]

Xlscout has developed/launched many products like Automated Novelty Checker, Techscaper, Company Explorer, NLP enriched Landscaper, etc. The primary objective of this project is to continuously add new functionalities to the existing novelty checker module of Xlscout and also develop new innovative products/features that help in automating research & development. This project is important to XLScout […]

Awesense is a clean tech company in the energy space whose mission is to accelerate the transition to clean energy by making it easy to build data-driven applications for a decarbonized grid. To facilitate that, Awesense has been building a Digital Energy Platform that electrical utilities, consulting companies and software solution vendors can use to […]

Développer une plateforme de commerce en circuit court pour le B2B.

The goal of this project is to compare the results of several state-of-the-art artificial intelligence (AI) models in the field of drug discovery. Specifically, the intern will recreate several models whose creators claimed are successful at predicting which drugs would interact with what proteins in the human body. In addition, the intern will design a […]