Customer Intelligence Data Mining for Financial Institutions

For banks and financial institutions data is one of the most important assets, providing the key to true differentiation and competitive advantage. Insight Business Intelligence solutions, offered by Banking Software Company Temenos, turn figures into meaningful information for business decision making. However the existing business rules based models could be improved by using novel statistical […]

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Candu Nuclear Reactor: Civil and Mechanical Engineering Analysis

CANDU 6 is a Canadian technology 700 MWe class nuclear power reactor. CANDU 6 reactors are performing well on four continents with over 150 reactor-years of excellent and safe operation. Candu Energy is a Canadian-based company that is enhancing this reactor design based on the experience and feedback that was gained in the development, design, […]

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Understanding Erosion Sensitivity in the Etobicoke Creek Watershed

The Etobicoke Creek watershed is heavily urbanized with erosion issues due to the high amount of impervious cover and creek channelization. This research will help to better understand the current erosion sensitivities and risks within the watershed for inclusion in a comprehensive watershed plan that will inform municipal land use and infrastructure planning.

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Machine learning assisted quantum chemistry for Orquestra

Unsupervised machine learning has recently been introduced into the field of quantum many-body physics. A strategy based on generative models has been particularly successful in the data-driven learning of quantum states. In this proposal, we aim to adapt this technology to applications in quantum chemistry. The primary focus of this research will be on the […]

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Machine learning assisted quantum chemistry for Orquestra – Year two

Unsupervised machine learning has recently been introduced into the field of quantum many-body physics. A strategy based on generative models has been particularly successful in the data-driven learning of quantum states. In this proposal, we aim to adapt this technology to applications in quantum chemistry. The primary focus of this research will be on the […]

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Accelerating Neural Networks on FPGAs through High-Level Synthesis

Computer hardware is enjoying a widespread renaissance with the emergence of the compute-intensive and challenging machine learning workloads. ABR develops and maintains NENGO, a biologically-plausible model for neural networks and is keen to develop hardware support for efficient realizations of these networks. FPGA (Field-Programmable Gate Arrays), are an attractive target for this if we can […]

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Using machine learning to identify and contextualize residential rainwater downspouts and guide stormwater outreach programming

Municipalities are seeking ways to reduce the effects of uncontrolled rainwater and one of the primary contributors to the problem is residential downspouts. Downspout disconnections and redirections are low-cost ways to reduce the overall imperviousness of urban and suburban landscapes and ameliorate stormwater issues. This project will use machine learning to analyze Google street view […]

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Concrete Slab-On-Grade Analysis for Slab-Mounted Jib Cranes

Various industries and warehouse operations often need free-standing jib cranes to be installed on the floor. Industrial floors typically consist of unreinforced or very lightly reinforced concrete slabs poured directly on the ground which may not have sufficient strength to support the crane. Improper design may result in severe cracking which raises concrete durability issues […]

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Terahertz Surface Plasmon Near-Field Sensor for Material SensingApplications

In this project, we plan to address the specific problem that TeTechS Inc is facing at this stage of its product development project, which is collecting a complete set of measurement data for an array of organic materials with different levels of purity and demonstrate the capability of its proprietary terahertz sensing techniques to qualify […]

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Adaptive Dialog Techniques for Chatbots

This research focuses on the development of machine learning and natural language processing techniques for adaptive chatbots that can converse with users and learn about the world. The outcome will be a generic bot that can be instantiated with different personalities and knowledge bases to entertain users of the popular Kik messenger about different topics. […]

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Bioprocessing strategies for enhanced production of heme in Escherichia coli

Ardra Inc. has sustainably produced many high-purity chemicals that are used for various flavor, perfume, and cosmetic applications. Combining industrial/business expertise provided by Ardra with academic/research skills provided by Dr. C. Perry Chou’s lab, we are aiming to effectively produce high-value heme compound using engineered E. coli host organism. Major efforts will be dedicated toward […]

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