Temporally consistent employee group labels

Analytical applications in large organizations across even intermediate time ranges are often made complex, costly or even impractical due to temporal inconsistencies in the available data. The ever-changing nature of organizations causes categorical labels in data to change over time. This is particularly true for HR data, as the organization adjusts to changes in skillsets, […]

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Identifying Questions for Game-Based Learning through Deep Learning

Game-based learning tools often make use of questions to measure and encourage learning, but generating questions can be challenging, especially at the scale that companies like Axonify are required to do. In this project, the intern will design, implement, and evaluate a system that can apply machine-learning on a corpus of text (e.g., a textbook) […]

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Quantum Resources Required for GKP Qubits

Qubits are fundamental units for quantum computation. Photonics is a promising physical medium to realize large-scale quantum computation. One proposal to realize photonic qubits was proposed by Gottesman, Kitaev and Preskill (GKP). Here, the logical qubit is encoded into states of a bosonic mode or a quantum harmonic oscillator. It is expected that such a […]

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Behavioural finance profiling for financial advisors and clients

The purpose of this study is to develop a structural model that enhance the effectiveness of the financial advisory services. The primary value proposition Betterworth wants to demonstrate to the financial institution is how the betterworth platform will make financial advisors’ more efficient, enabling them to attend to more clients, cut their operational costs, target […]

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Building and renewing competitive advantage in emerging technological domains: technology startups and innovation communities

The emerging technology company is in a dynamic environment where everything is changing turbulently, not only the actors but also the environment itself. For such emerging companies it is crucial to rely on local innovation communities in order to build and maintain a competitive advantage while balancing a number of paradoxes relater to their involvement […]

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Securing elastic radio access networks

G networks have emerged as a promising solution for Mobile Network Operators (MNOs) to offer ultra-fast mobile broadband and ultra-low latency services with exceptional reliability for consumers. By leveraging softwarization, Software-Defined Networking (SDN) and Network Function Virtualization (NFV), MNOs can offset the high capital and operational expenditures incurred due the additional deployment of legacy equipment. […]

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Securing elastic radio access networks – Year two

G networks have emerged as a promising solution for Mobile Network Operators (MNOs) to offer ultra-fast mobile broadband and ultra-low latency services with exceptional reliability for consumers. By leveraging softwarization, Software-Defined Networking (SDN) and Network Function Virtualization (NFV), MNOs can offset the high capital and operational expenditures incurred due the additional deployment of legacy equipment. […]

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BIM-Driven Spatial Planning and Permitting Efficiencies for Municipalities

Recent technological advances in the architecture, engineering, and construction (AEC) industry, including the implementation of Building Information Modelling (BIM) and automated data capturing tools, have enabled the AEC industry to commence its digital journey in the era of big data. Over the last decade, electronic permitting (e-permitting) practices have been introduced in many municipal jurisdictions […]

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Multi-Document, Aspect-Based Sentiment Analysis of Political News Articles

The main objective of the project is to upgrade the existing system at Gnowit to create a complex self learning automated decision support system. The system(crawlers) will automatically collect all the data related to any company, political system or a specific entity from the articles, blogs and reviews and create a more actionable report. The […]

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