The Lumiio Development Intern Project will to be improve the its operational processes to that are required for marketing to new and existing clients, inform sales strategies and generate data needed to create key decisions. This project involves conducting research on market trends, competitors, prospective customers, product/technology, and providing recommendations for enhancing current business opportunities.

Quorum Information Technologies Inc. offers integrated, innovative, and robust Software Technology Solutions and Services to Traditional and Electric Vehicle Dealerships and Original Equipment Manufacturers (OEM) across North America. The benefits Quorum hopes to realize through this project are to improve the security and performance of our dealership operating environments.

MixGenius works on automated musical production by real-time musical genre detection. High accuracy of genre detection for a variety of sub-genres is required for quality production and has yet to be achieved. The project involves researching available real-time high-accuracy musical genre detection methods and improving upon them, extracting each genre’s audio features, calibrating the algorithm […]

We have recently launched an MVP (prototype) of fitzba.com: a two-sided marketplace whose mission is to support shopping local and to be the most convenient way to shop. The intended outcome of this project is to find “product-market fit”, a desired state whereby fitzba.com will have implemented a set of features which customers will value […]

The IP Multimedia Subsystem (IMS) is a key component in the Mobile Next Generation Network, which is used by telecommunications operators throughout the world to provide access to multimedia and broadband services. As these services become more sophisticated, and as the number of clients rises drastically, it is increasingly expensive to install and operate a […]

The proposed project is to design and implement a pattern matching based method for definite symbolic summation in. To remain competitive, Maple’s symbolic computation capabilities, which are one of its strengths, need to be improved constantly. This includes the ability to symbolically evaluate definite sums. Closed forms for definite sums are important in many applications, […]

AltaML is an innovative company capitalizing on a major technological trend: artificial intelligence (AI) technologies, enabled by big data, are driving a fourth industrial revolution. AI will transform all industries, but traditional industries face challenges in implementing AI. AltaML has a unique business model to overcome barriers to adoption of AI solutions by industry, which […]

The availability and accuracy of GPS in some environments, such as indoors, is limited. Positioning utilizing radio frequency (RF) signals intended for communication, broadcasting, or networking is an attractive alternative or complement to GPS in such environments. The proposed research will develop novel methods to use RF signals of opportunity (SoO), such as WiFi signals […]

AltaML is an innovative company capitalizing on a major technological trend: artificial intelligence (AI) technologies, enabled by big data, are driving a fourth industrial revolution. AI will transform all industries, but traditional industries face challenges in implementing AI. AltaML has a unique business model to overcome barriers to adoption of AI solutions by industry, which […]

AltaML is an innovative company capitalizing on a major technological trend: artificial intelligence (AI) technologies, enabled by big data, are driving a fourth industrial revolution. AI will transform all industries, but traditional industries face challenges in implementing AI. AltaML has a unique business model to overcome barriers to adoption of AI solutions by industry, which […]

This project aims to use flocks of autonomous UAVs for inspection, map generation, and the production of real-time digital twins in dynamic (i.e., time-changing) environments, using commercial ports as a case study. This project will advance autonomous drone navigation in the presence of vehicles and people, the automated deployment of large fleets, and support and […]

In this internship, we aim to develop a machine-learning model that learns human pose and movements. Such models can be used for AI-assisted human animation creation, motion refinement and denoising, video or imageto- pose conversion, and motion editing. We plan to implement and push state-of-the-art human motion models by taking inspiration from the advances in […]