Predictive modeling of financial data, especially trading activity or asset prices, is a very challenging task. There are a number of novel approaches to feature engineering, data preparation and model architectures that aim to mitigate some of the problems that arise from non-stationarity and other issues typically found in financial time series data. This project […]

Liver failure is rapidly becoming a health epidemic in North America, mostly due to large increases in fatty liver disease. The liver normally clears ammonia from the bloodstream, however, when the liver fails ammonia builds up to dangerous levels and causes cognitive impairment which can progress to coma and death. Neuractas Therapeutics has developed a […]

Human perception has developed the ability to decompose scenes into fine grained elements. This lays the foundation for strong generalization to new situations where the base concepts can be recomposed to interpret objects never seen before. While it has been shown that, in the general case, proper decomposition is not possible, new paradigms provide provable […]

This research is carried out on the topic of natural language processing and specifically on word representation on Question Answering tasks. The state of the art in Question Answer task is Google’s Bidirectional Encoder Representations from Transformers (BERT) language model. Koïos Intelligence is interested in fine-tuning this model for their closed domain artificial intelligence (AI) […]

Développer un modèle prédictif en traitement automatique des langues requière la création d’un corpus annoté : un texte et des annotations que l’on tentera de reproduire automatiquement. Il s’agit d’une activité à la fois complexe (les annotations sont souvent du ressort d’un expert) et coûteuse (annotations méticuleuses à produire en grande quantité). Le projet vise […]

Développer un modèle prédictif en traitement automatique des langues requière la création d’un corpus annoté : un texte et des annotations que l’on tentera de reproduire automatiquement. Il s’agit d’une activité à la fois complexe (les annotations sont souvent du ressort d’un expert) et coûteuse (annotations méticuleuses à produire en grande quantité). Le projet vise […]

Cardiovascular clinical trials try to demonstrate the benefit of a medication on populations where the number of participants with the targeted disease is very low. The low efficacy of treatment is partially due to the diversity of diseases and of the population. To improve the efficacy of treatment, it is necessary to improve the recruitment […]

The analysis of large, complex data helps scientists from different fields (e.g. physics, chemistry, biology) to provide new insights on their research. The field of neuroscience is no different. Larger and more complex studies which create huge amount of data are more and more common. Thus, the development of tools capable of processing large datasets […]

Ce projet de recherche est intimement lie à l’optimisation et au contrôle qualité d’une technologie verte associée au recyclage du polystyrène (PS). Durant ce procédé, le PS contaminé provenant du consommateur ou simplement de rejets industriels est mis au contact d’un solvant qui a pour but de le solubiliser, puis d’un autre pour le précipiter. […]

Social medias data bases are important for continuous and automated Adverse Drug Reactions (ADRs) surveillance. Predicting ADRs can reduce the related mortality. A systematic review of the medical scientific literature is required for tracking and identifying the risk/benefit ratio of drugs and safety issues. The implementation of means of standardizing patient’s language used in social […]

Nowadays, almost any company in Canada in operation heavily relies on software solutions to improve their productivity. However, they are often facing the problem of having too many options to choose from for the software best fit for their needs. Decision support systems (DSS) help enterprises to take significant business decisions, such as finding the […]

Aid in the development of a Machine Learning Model for utilization by an Agricultural Robot. This Robot performs several tasks, primarily the mechanical removal of weeds from vegetable farms. Therefore, the machine learning model is concerned with informing the robot of locations of interest points of the weed and crop plants, as viewed from several […]