New approaches in artificial intelligence (AI), such as foundation models and synthetic data, are having a substantial impact on many areas of applied computer science. Here we discuss the potential to apply these developments to the computational challenges associated with producing synapse-resolution maps of nervous systems, an area in which major ambitions are currently bottlenecked by AI performance.
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Acknowledgements
M.J. and V.J. are supported by Google Research.
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Januszewski, M., Jain, V. Next-generation AI for connectomics. Nat Methods 21, 1398–1399 (2024). https://doi.org/10.1038/s41592-024-02336-0
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DOI: https://doi.org/10.1038/s41592-024-02336-0
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