
RIDR, RISE DL Research Group
Foundational and applied machine learning for the Earth
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Grant obtained from SLU Grogrund
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We’re glad to announce that we have obtained funding from SLU Grogrund for the project Breeder co-pilot - Optimizing plant breeding with AI. Aleksis from the RIDR group will lead an AI-centric work package, as well as be co-supervisor for an industrial PhD student at Lantmännen (main supervisor at SLU).
Five posters accepted at various EurIPS workshops!
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The RIDR group will presenting research through five posters at four different EurIPS workshops in December!
Master’s thesis projects in AI for Earth observation, ecology, and bioacoustics
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The RIDR (RISE Deep Learning Research) group is offering several exciting Master’s thesis opportunities for students passionate about applying artificial intelligence to real-world ecological challenges. These projects offer a chance to work with unique datasets, collaborate with interdisciplinary teams, and contribute to impactful research with the potential for publication.
Aggregation Strategies for Efficient Annotation of Bioacoustic Sound Events Using Active Learning
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