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validated algorithms. The objective is to identify sensorimotor signatures of fall risk that may improve current predictive models and contribute to the development of more targeted prevention strategies
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 8 days ago
. The recent emergence of Multimodal Large Language Models (MLLMs) represents a promise of lower human intervention and easier deployment, but the consistency of their predictions under camera movements and
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positions at UCD working closely with industry partners, specifically LaNua Medical (https://www.lanuamedical.com/ ) and Integer Holdings Corporation (https://www.integer.net/ ). The project focuses on LaNua
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intelligence methods and models suited to the objectives of monitoring and predictive maintenance. Data collection, structuring, and preparation: Setting up pipelines for collecting operational and expert data
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learning models will be employed to anticipate coverage changes and manage gateway handovers proactively. This predictive approach is intended to minimize packet loss, reduce latency, and ensure continuity
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) approaches. Design predictive maintenance algorithms using machine learning, statistical learning, and digital twin-based models to anticipate failures and optimise maintenance interventions. Integrate AI
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, and c) predicting new phenomena and discovering improved materials for applications. My efforts in this area use a variety of modeling approaches to answer questions on materials systems of interest
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
projects are the analysis of gene expression patterns in malignant human tumor samples mostly coming from clinical trials and preclinical model systems, and on the continued development of genomic-based
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to better understand and characterize variability of water at the land surface - i.e. in soils, snow and groundwater - to help in predictions of future water availability, global water cycle dynamics and sea
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, leading to different models being used. However, in recent years model topologies for automatic speech recognition and many other speech processing tasks have started to converge - driven by research focus