AgnostiQ Labs is looking to develop immediately applicable encryption/obfuscation techniques for quantum computing. At present, encryption protocols developed in academia are unsuitable for real-world applications because they largely depend on quantum hardware that do not yet exist.
Today, physiotherapy balls or physioballs play an essential role in treating disability or body damages such as neck, waist, knee and so on. Despite their wide range of applications and importance, it is difficult to monitor the damaged member and propose continuous treatment in the presence of a physiotherapist or physician. This causes several problems and costs for the patient. Therefore, a new generation of physiotherapy balls will be created in this project. The idea is to perform exercises and monitoring without the need and/or the presence of a doctor or physiotherapist.
Deep neural network (DNN) is a class of machine learning algorithms which is inspired by biological neural networks. DNNs are themselves general function approximations, which is the reason they can be applied to almost any machine learning problem. Their applications can be found in visual object recognition in computer vision, translating texts in unsupervised learning, etc. DNNs are prone to overfitting because DNNs usually have many more parameters than the available training data. However, they usually have a low error on the test data.
The most important structure in the human brain is the cerebral cortex. It makes it possible to perceive our visual environment and sounds, to perform motoric actions such as grasping an object, to speak, to understand speech, etc. The cerebral cortex is a 2-5 mm thick sheet, embedded in the skull. Analysis of MRI data makes it possible to estimate the thickness of the cerebral cortex. In certain neurological conditions such as mild cognitive impairment, Alzheimer's disease and multiple sclerosis, the thickness of specific cortical areas decreases faster than in healthy aging.
The CO2 thermal desorption process in the stripper for the regeneration of solvents is central to the design of CO2 capture process from technical and operational standpoints, requiring huge amounts of energy and posing considerable challenges on plant operation.
The project has been defined to address the growing concerns of the mining industry towards sustainable copper production with low cost and environmentally friendly process option. The current processes for copper extraction are either expensive or have detrimental impact on the environment. This proposed project pertains to the development of a technology that applied green energy (electricity) as well as ultrasonic technology to recover copper from the main copper minerals (chalcopyrite and enargite) with minimum cost and highest efficiency.
Emphysema, a lung disease that millions of Canadians currently suffer from, has few safe and non-invasive options available. One of the features of emphysema is the lack of proper blood flow in the diseased lungs and this results in poor gas exchange. IKOMED Technologies Inc. has been developing a new technology that has the potential to remove diseased lungs non-surgically. The initial proof-of-concept experiments have already been tested and validated using rat models with Dr. Don Sin.
This project allows a PDF to take on a feature engineer role in which she will work closely with a biomedical engineer to identify novel features based on Tracerys proprietary imaging method for Age-related Macular Degeneration (AMD). The PDF will serve as a vital link between clinical disease and computing, interacting with both academic and industry partners for automated feature extraction and ultimately machine learning and artificial intelligence.
The present project will evaluate the techno-economic and environmental performance of an Integrated Biorefinery System that employs an innovative state-of-art fast pyrolysis processes for the production of bio renewable fuels in the bio-economy.
In an age where recorded audio/visual performance media is ubiquitous and easily accessed, there may seem to be little impetus to experience a performance live. However, live performance is very important clinically, where it is well known to be more effective than recorded performance in a variety of applications including sleep induction, stress and pain reduction, and improved compliance during diagnostic measurements. Moreover, experiencing live performance is thought to have numerous social benefits such as fostering social unity and awareness, along with cultural appreciation.