Measuring investments performance using Artificial Intelligence in impact investing and socially responsible investing

In the last few decades, Socially Responsible Investments (SRI) have growingly become a relevant issue. This trend is expected to continue and strengthen going forward. Moreover, the steady trend of rationalization and marketization of the social sector over the past four decades has set expectations and norms of rationalized practices such as Social Performance Measurement […]

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AI-Based Automation of the Candidate Recruitment and Management System for TAS

TAS (Techno Aero Services Inc.) is a Canadian recruitment agency specialized in aeronautics, engineering, and technology. At TAS, candidates currently submit resumes to a database through a web interface. These resumes are then manually processed by recruiters before a suitable candidate is matched to a position. Through this laborious manual process, great prospective candidates often […]

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Advanced Signal Processing and Machine Learning for BLE-based Indoor Localization

The Internet of Things (IoT) is a new emerging paradigm and is rapidly gaining ground in different applications of significant engineering importance including but not limited to smart buildings, and smart public environments. The main enabling factor of this promising paradigm is integration of identification, localization, and navigation technologies with smart hand-held devices equipped with […]

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NLP Sales Assistant

The goal of this project that will be conducted in collaboration with Heyday is to create a technology that uses a given messaging platform (e.g. Facebook Messenger, web chat widget) that allows users to communicate easily and smoothly with their preferred brands or retailers. This technology should allow the automation of answers and interaction between […]

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An information-theoretic framework for understanding generalization in neural networks

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, […]

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Development of machine learning and artificial intelligence toolbox to monitor data center risks and performance

Missing Link Technologies Ltd. provides customized and effective solutions to its partners for their IT infrastructure & operations. They are especially involved with solving the IT facilities management challenges of Telcos and Datacenters. The proposed research in collaboration with Missing Link Technologies Ltd. is aimed at leveraging the advances in machine learning and artificial intelligence […]

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Micro Action Impact Measurement Index for the United Nations’ Sustainable Development Goals (aka Project MAI-MI)

In a historic United Nations (UN) summit, world leaders adopted 17 Sustainable Development Goals (SDGs) as a universal call to action to address the global challenges we face by the year 2030, including those related to poverty, inequity, environmental degradation, prosperity, and peace and justice. Together, the UN and their partners have underscored the importance […]

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A Cross-Cultural Study of Electromyography Input for Older Adults

The proposed research concerns the use of Electromyography (EMG) input, via the Myo Armband, for older adults (OAs). EMG input, such as that available through off-the-shelf products, such as the Myo armband (made by a Canadian firm, Thalmic Labs from Waterloo), enables access to interactive commands in an intelligent home setting. Gestures facilitated by EMG […]

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Developing Smart Price Forecasting Service for Supply Chain Procurement of Agri-fresh Produce Using Machine Learning

Loblaw Companies Limited (LCL) supplies all fresh produce (FP) to South Western Ontario stores from Waterloo Distribution Center (DC). DC decides prices and quantities to meet FP demand. Timed fair priced orders minimize waste, bring prosperity to growers, consumers and FP trades. Factors affecting prices are highly uncertain due to environmental and socio-economic effects such […]

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