Automatic casting applications aim is to accurately recognise facial regions that correspond to a same actor appearing in a movie to produce described video. This project will focus on the tasks of re-identify the face of each principal actors when they appear in different scenes of a movie. This is a challenging task because although […]

This project aims at creating a robust, efficient and reliable tool for Named Entities Recognition (NER) from vast amounts of textual data related to the customer service. Named entities recognition, a subtask of information extraction, seeks to locate and classify elements in text into pre-defined categories such as the names of persons, organizations, locations, expressions […]

OSSimTech develops and sells virtual reality (VR) surgical simulators. This proposal aims to improve the efficiency of the simulation of cutting and deforming organs. The current simulator used by the company is appropriate for a range of surgery scenarios, but for several scenarios, it is too long to compute. The company has plans to expand […]

Molecular profiles of tumour samples have been widely and successfully used for classification problems. Many algorithms have been proposed to predict classes of tumor samples based on expression profiles. However, prediction of response to cancer treatment has proved to be more challenging and novel approaches with improved generalizability are still highly needed. Recent studies have […]

It has been well established that if human diseases can be diagnosed early, the prognosis and future quality of life is much improved. With advancements in computing technology in both the hardware (e.g. smaller, lighter, better batteries) and software (i.e. improved artificial intelligence), health systems are entering a renaissance when wearable technology and data science […]

Using genomics in clinical care has the potential to treat patients more efficiently. There have been a number of recent discoveries of genomic assays that can guide treatment. However, most genomic data is generated in a research setting and useful health data only in a clinical setting. Translating potential genomic research into a clinical setting […]

Using genomics in clinical care has the potential to treat patients more efficiently. There have been a number of recent discoveries of genomic assays that can guide treatment. However, most genomic data is generated in a research setting and useful health data only in a clinical setting. Translating potential genomic research into a clinical setting […]

Our sense of touch is vital to most daily activities we engage in, but is underused by most existing computing devices. Though haptics is an active research field, the main outcomes of three decades of research are limited to cost-effective vibrotactile feedback (as in mobile phones) or expensive force-feedback devices (mainly for surgical operation simulation). […]

Our sense of touch is vital to most daily activities we engage in, but is underused by most existing computing devices. Though haptics is an active research field, the main outcomes of three decades of research are limited to cost-effective vibrotactile feedback (as in mobile phones) or expensive force-feedback devices (mainly for surgical operation simulation). […]

The high throughput sequencing (HTS) platforms generate unprecedented amounts of data that introduce challenges in computational infrastructure. The requirement of large investments for this purpose almost signaled the end of the Sequence Read Archive hosted at the NCBI, which holds most of the sequence data generated worldwide. Currently, most HTS data is compressed through general […]

Research into child safety applications using Artificial Intelligence (AI) methods is a new area of investigation. SafeToNet is continuing to develop AI monitoring tools together with a team of researchers at the University of Ottawa. These tools, when used over time, will take advantage of outgoing text-based communications from devices to detect the early onset […]

Research into child safety applications using Artificial Intelligence (AI) methods is a new area of investigation. SafeToNet is continuing to develop AI monitoring tools together with a team of researchers at the University of Ottawa. These tools, when used over time, will take advantage of outgoing text-based communications from devices to detect the early onset […]