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theory and application of temporal reasoning and ultrasound video analysis from the human-AI collaboration (HAIC) perspective. You will be part of the Noble research group at the Institute of Biomedical
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and application of temporal reasoning and ultrasound video analysis from the human-AI collaboration (HAIC) perspective. You will be part of the Noble research group at the Institute of Biomedical
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
Text-to-Video Generation Models Supervision : Dr Stéphane Lathuilière (INRIA-UGA) Funding : BPI contract Contexte : Recent advancements in generative AI, and in particular diffusion models [1,2], have
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machine learning, deep learning, audio/image/video classification, attention mechanisms, zero/few shot learning, and evolutionary algorithms. The Research Associate should have proficient programming skills
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fellow will collaborate with surgeons across the Department to turn operative footage, surgical anatomy, technical expertise, and clinical decision-making into educational videos for trainees and
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biomarker discovery from the CAIFE image and video dataset. The full-time post is funded by InnoHK and is fixed term for 24 months. About you You will be working in a small highly motivated inter
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pathways. As part of the application, applicants are asked to submit a short video sharing personal motivation for their work, what draws the applicant to the research problem or question, and why
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/brunnerm/ , phone +41 81 417 0342, e-mail [email protected] ) will be happy to answer any questions or offer further information. Flüelastrasse 11, CH-7260 Davos Dorf Website Company-Video Where
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
video, and thoughtful discussion forums. For some existing courses at Sloan, the Fellow will create assessment systems; help to explore how AI can be leveraged in online education. Some of the content
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. Create scalable approaches to measure shared visual attention, caregiver positioning, speech, and dyadic engagement using video, audio, pose, and object information. Design, implement, and evaluate