To achieve useful results in training deep neural network, one typically needs huge number of labelled images. In most practical cases, it is often time consuming, expensive and sometimes even near impossible to get the required numbers of labelled images. Data augmentation consists in a set of image processing techniques that can be applied to […]

Scotiabank employs teams of cybersecurity specialists across its global operations and partners with a variety of external organizations to prevent and investigate any electronic attempts to gain access to the Bank’s data. At the same time, employees are continuously educated and expected to look for warning signs and efforts to infiltrate that data as well. […]

The intent of this project is to address the analog and silicon photonic modelling portion of a silicon photonic transceiver solution that will explore new and innovative metro reach terabit optical modems. In total there are five projects that combine to create the solution. These five project areas are silicon photonic design, high-speed electronic design, […]

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 […]

Edge computing is expected to play a transformative role for future AI applications in 5G networks by bringing cloud-style resource provisioning closer to the devices that have the data. Instead of running resource-intensive AI applications at the end devices, we can consolidate their execution at the edge, which brings many benefits, such as eliminating the […]

A key factor to deliver reliable intelligent vehicles is the proper exploitation of data gathered from the different sensors equipping the vehicle. To do so, a data fusion algorithm is applied. However, the reliability of the sensors can change (for example due to weather conditions), therefore, a solution to evaluate the quality of the data […]

Libro Credit Union wants to improve the Owners’ (customers) financial experience engaging them actively through the institution’s initiatives. Therefore, Libro is dedicating efforts to objectively measure which initiatives have a greater impact on the owner’s engagement; so they can have better insights into their audiences and can ensure best-served owners with tailored initiatives. Our main […]

The project is concerned with delivering a real-world joint perception prediction and tracking system that outperforms the current system implemented in the Uber ATG software stack. This will be achieved by implementing a production version of a state-of-the-art academic paper developed by the research team, testing it against real world scenarios, and then modifying the […]

The Quantum Autoencoder was proposed as a device which can compress quantum states efficiently. One possible application on near term quantum devices would be the compression of quantum data in order to protect it from decoherence effects. The compression however, also introduces noise to the quantum states so that it will not always be beneficial […]

Artificial Intelligence (AI) research has grown rapidly in recent years as the result of faster computers and better algorithms. AI models can be trained to automate the decision process and provide results. However, if the model is not properly or sufficiently trained, the outcome will likely be unpredictable and inaccurate. Besides, training data is not […]

Recent research has shown that people can perceive which affective state one is in simply by looking at body movements (without facial expression). Because of this, it has been possible to train machine learning algorithms to automatically recognize the affect of users from their body movements, to be used in human-computer interaction. This project consists […]

Cyborg Trading Systems (CTS) provides custom software to existing trading platforms for the individual trader. Their trading software is designed to be a real time trading tool offering advanced risk management, prebuilt algorithms, and increased execution speed to high volume, high frequency traders. At the core of their software is a sophisticated event processing engine. […]