Distributing Computing and Machine Learning Applications

Kings Distributed Systems (KDS) is working with researchers at Queen’s University to break down barriers to the development of powerful machine learning applications by using distributed computing. By connecting any device – everything from smartphones to enterprise servers – and harnessing their excess power to complete tasks, the Distributed Compute Protocol (DCP) substantially reduces costs […]

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Cryptographic filesystem for video integrity

When storing and retrieving large quantities of aerial surveillance video to be used as evidence, it must be possible to validate video as authentic without relying on secret knowledge. Part of the solution to this problem involves a novel combination of cryptography techniques used in blockchains and elsewhere together with computer filesystems, allowing data to […]

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Forestry Cloud App Project

Digital imaging has become a leading feature in cell phones, security camera and satellite images. In addition to a race for picture clarity, the opportunities for data analysis and artificial intelligence (AI) are among the key elements attracting attention. The emergence of image enhancement and AI is relatively new, although it has a number of […]

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Designing Criteria to Visualize Energy and Reduce Energy Consumptions

Because of pollution and climate change, reducing the use of energy produced using fossil fuels is a priority in the next few years. To reach the goal actions need to be taken such as increasing energy production using renewable sources and reducing consumptions. To save energy people should be aware of the energy they are […]

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Applications of Blockchain for Cross-Border Deposits in the Finance and Banking Sector

Blockchain technology changed how e-payments work and opened the door for development of advanced and secure e-payment systems. Currently, cryptocurrency is the only well-known, successful application of blockchain technology. However, the application of blockchain technology is not limited to cryptocurrencies. Many distributed ledger technology experts discussed the benefits of applying blockchain in many sectors such […]

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Automatically Assessing Frailty from Medical Notes

Frailty is an especially problematic expression of population ageing. It is a condition characterised by loss of biological reserves across multiple organ systems and vulnerability to physiological decompensation after a stressor event. Older people with frailty are at increased risk of adverse outcomes including disability, hospitalisation, nursing home admission and mortality. This project addresses the […]

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Sentiment Analysis for the Assessment of Financial Fitness (SAFF)

We apply Artificial Intelligence (AI) on Sentiment Analysis for the Assessment of Financial Fitness (SAFF), which can help an individual to understand one’s latent feeling and reservation towards money saving, spending and planning. The SAFF framework can be applied to not only financial institutions, but also other sectors, e.g. healthcare, rehabilitation and education. Sentiment analysis […]

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Hybrid and multi-device quantum machine learning models

Over the past 2-3 years, commercial quantum computing hardware has begun to come online. While emerging quantum processing devices (QPUs) are still small and noisy compared to ideal quantum hardware, they are nevertheless expected to demonstrate quantum supremacy soon. During the same period, quantum machine learning (QML) has emerged as a rapidly expanding research field, […]

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Learning non-local features for 3D reconstruction of buildings

The goal of this project is to help automate the process of scanning buildings with consumer digital cameras. Currently, fully automated scanning with a commercial camera produces inaccurate scans, while accurate scans require significant manual effort on each individual photograph (of which there are many) of the building to be scanned. We plan to use […]

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