Enhancing interpretability of gaze-tracking convolutional neural networks

Innodem Neurosciences is developing a visible light gaze-tracking algorithms that can be sued to predic a user’s gaze position on the screen of a mobile device without the need for any third-party hardware. This algorithm leverages various image processing techniques, and relies on the use of convolutional neural networks and computer vision. Enhancing the quality […]

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Detection of Human Presence/Activity through Radio Frequency Signals with Artificial Intelligence

The goal of this porject is to develop a prototype system for human presence/activity detection through radio frequency signals. There have een some recent promising results reported in the literature regarding such detections through WiFi signals using artificial intelligence-based approaches. The postdoc will focus on reproducing earlier results, then move on to enhance the system […]

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Application of Topology Optimization for Efficient Composite and Additively Manufactured Structures

Additive manufacturing offers new opportunities for designing high performance composite structures. However, sophisticated numerical approaches are required to tackle the complex task of designing structures which take full advantage of additive manufacturing capabilities. The proposed research project aims to apply topology optimization, a numerical approach capable of determining the best shape of a structure, to […]

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Advanced AI for Demand Forecast, Assortment Planning and Plan Monitoring in Fashion and Apparel Retailing

Retailers require reliable demand forecasts for their operations management and planning. Demand forecasting for fashion products is, however, an extremely challenging task. A good solution for this problem should address at least the following three questions: (i) high volatility of demand and its dependence on external factors (ii) forecasting flexibility for different spatio-tempo-hierarchical aggregation levels, […]

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Change point detection algorithms to assess pilot’s reactions to malfunctions

In this project the intern will work with time series data containing different parameters from a flight simulator. The intern will take these data and assess different learning as well as change point detection algorithms that can identify and segment pilot reactions to malfunctions and assign these reactions a proficiency metric. One of the possible […]

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Exploratory Analysis of Alzheimer’s Disease Detection Using Eye Scans

Optina Diagnostics works on detection of Alzheimer’s Disease using hyperspectral eye imaging techniques. This project was an exploratory analysis of data gathered by Optina so far in order to optimize and fit models to most effectively predict cases. Recommendations from the analysis were then handed over to Optina for future work.

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Organic cathode materials for alkali-ion batteries

Clean renewal energy sources, such as hydro, wind, and solar energies, have been receiving increasing demands for sustainable societal developments. Due to their intermittent nature, rechargeable batteries are required for the storage of these renewal energy sources. Current rechargeable batteries constructed with conventional inorganic cathode materials have restricted energy densities, along with sustainability issues. The […]

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Digital Audio Multi-Effects Platform for Eurorack Modular Synthesizers

Modular synthesizers are becoming more commonplace in the studios of musicians around the globe. These instruments, first invented in the 1960s, are composed of modules, each of which performs a unique function, such as generating sounds or modifying them by applying effects such as distortion, echo and more. When building a modular synthesizer, the user […]

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Development of an Al first molecular database to accelerate drug discovery

Using simplified language understandable to a layperson; provide a general, one-paragraph description of the proposed research project to be undertaken by the intern(s) as well as the expected benefit to the partner organization. {100 – 150 words) The project aims to develop a molecular compounds database to accelerate drug discovery. Compounds shared by chemical providers […]

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