Le projet proposé vise à développer des architectures d’apprentissage profond pour analyser divers types d’images d’observation de la Terre utilisées par Effigis. Il est divisé en trois sous-projets, visant chacun un type d’images et d’applications associées. Le premier sous-projet concerne l’identification des bâtiments sur les images satellites à très haute résolution (30 – 50 cm) […]

Aphasia is an impairment of language caused by an injury to the brain. Word finding difficulties often accompany aphasia and can persist even after intensive speech therapy, having a negative impact on the person’s social participation and quality of life. Today’s communication aids can improve the ability to effectively communicate but findings from focus groups […]

This project supports development of a laser-based sensor capable of accurately measuring methane releases from oil and gas wells, an important source of greenhouse gas emissions. This sensor will lead to a more accurate understanding of greenhouse gas emissions and enable mitigation actions in the upstream oil and gas industry. This is a critical step […]

Deep Neural networks have revolutionized machine learning and in particular computer vision. The revolution was achieved by a combination of big data, graphical processing units and advances in numerical optimization. In this work we propose to extend and develop machine learning techniques, focusing on deep learning methods for public health and safety applications. We will […]

behaviours within a given organization. This will allow to remedy and/or remove the counterproductive, and to enhance and enable positive behaviours, civility and engagement. The platform that will be developed is unique and distinctly not social feedback nor 360-degree feedback. The cloud-based systems that will be developed should detect, measure, map, correct, and sustain the […]

With an aging population on the rise, the prevalence of cognitive decline is expected to increase substantially. Goal Management Training® (GMT) and the Memory and Aging Program® (MAP) are cognitive interventions that have been studied extensively and applied clinically to address these needs. Although previous research has demonstrated efficacy of the in-person versions of both […]

Two fundamental pillars of communications/communications networks are trust and truth; in particular, we must ensure that the message (or data) that a sender wishes to transmit does indeed reach the intended receiver without being altered or eavesdropped by an unwanted party. This project focuses on demonstrating one concept of the quantum internet. The quantum internet […]

This study will look at changes in the heart rate variability and electroencephalogram (EEG) signals in individuals receiving gut supplementation for depression. This is to see if the vagus nerve (a major nerve connecting your brain and gut) is affected by this therapeutic, and how that results in changes in your brain. This work will […]

This project addresses one of the challenges confronting Vertical Agriculture (VA): the acquisition of added-value data, their analysis and their transmission to enable VA to provide a steady production while minimizing its environmental impacts, manage its yield and allow for a better understanding of its inter-related component. As a starting point, strawberry production is looked […]

The legal profession, like many professions within the global economy, is undergoing significant change with advances in innovation and technologies and as geo-political and economic shifts are underway. As the only association representing the legal profession across the country, but also active in the global economy through various initiatives including international projects supported by partners […]

We will design and build a software suite for producing 36-hour forecasts of water flow rates and turbidity (cloudiness) at any point along the channels of the Upper Yellowstone River Watershed (UYRW). This forecasting system will respond to real-time sources of information on weather and upstream sensor readings, and will be designed for continual updates […]

Recent catastrophic tailings storage facility (TSF) failures have resulted in immense societal, environmental and economic losses. Currently, research on TSF risk is primarily focused on the technical reasons for failure or post-failure environmental damages. Furthermore, limited research explores the financial, environmental and social consequences of potential TSF failure within potential tailings inundation zones. This project […]