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Merge pull request #18 from mlinpl/groups_update
add new labs
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short_name: NYUAD CAIL | ||
title: NYU Abu Dhabi Clinical AI Lab | ||
head: Dr. Farah Shamout | ||
contact: [email protected] | ||
logo: ./lab-logos/nyuad.png | ||
website_url: https://clinicalailab.com/ | ||
location: Saadiyat Marina District - Abu Dhabi | ||
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Primarily based at the NYU Abu Dhabi campus, the Clinical Artificial Intelligence Lab is a hub at New York University for state-of-the-art machine learning research that tackles real-world clinical problems. The group is led by the Principal Investigator Dr. Farah Shamout. Our long-term goal is to improve health outcomes by designing and developing smart diagnostic and prognostic systems. Our research interests cut across multiple disciplines, namely health, engineering, & computing. | ||
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short_name: Generativ/e | ||
title: Generative AI group at the TU/e | ||
head: Jakub M. Tomczak | ||
contact: [email protected] | ||
logo: ./lab-logos/generative.jpg | ||
website_url: https://generativeai-tue.github.io/ | ||
location: De Groene Loper 5, 5612 AZ, Eindhoven | ||
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The Generative AI group focuses on building deep generative models (a combination of probabilistic modeling and deep learning) that could be used for defining generative processes, synthesizing new data, and quantifying uncertainty. The research carried out within the Generative AI group is reinforced by multiple applications in Life Sciences (biology, biochemistry), Molecular Sciences (chemistry, physics), and problems ranging from signal processing (e.g., data compression) to self-driving cars, and smart devices, and smart apps (e.g., chatbots, art generation). | ||
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short_name: PUT Vision | ||
title: Computer Vision Lab at Poznań University of Technology | ||
head: Marek Kraft | ||
contact: [email protected] | ||
logo: ./lab-logos/PUTvision.svg | ||
website_url: https://vision.put.poznan.pl/ | ||
location: Jana Pawła II 24, 61-138 Poznań, Poland | ||
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In our research laboratory at Poznan University of Technology, we process data for a wide range of perception applications using a variety of vision sensors and hardware platforms, employing computer vision and machine learning algorithms and techniques. |
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