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First released in November 2023 Grok-1 is a new autoregressive transformer-based model with a context length […]
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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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Recent studies show that transformer models numerous contribution on several tasks such as classification, forecasting and […]
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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 early April 2023, Meta AI released Segment Anything (SAM), an machine-learning based segmentation model. The […]
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We developed a program that visualizes the raw input data and ML-based smell detection analysis of […]
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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 […]