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A multi-modal machine learning system uses multiple unique data sources and types to improve its performance. […]
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Two months ago, we purchased a robot called the temi 3 (available here). This robot features […]
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Acknowledgements This project is a collaboration between the Center for Applied AI and the following researchers: […]
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In 2020, Kentucky had the third-largest drug overdose fatality rate in the United States, and 81% […]
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In 2021, our team started development of a LoRaWAN network (see link) to cover the University […]
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In early April 2023, Meta AI released Segment Anything (SAM), an machine-learning based segmentation model. The […]
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Clinicians often produce large amounts of data, from patient metrics to drug component analysis. Classical statistical […]
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Segment Anything is a segmentation algorithm created by Meta Research. In order to try and […]
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Blockchain technology is a still emerging field that is seeing increased usage beyond its conception in […]
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Time series forecasting is the process of analyzing historical data in order to draw conclusions and […]