Recently, a team of researchers from the University of California San Diego have developed a novel algorithm that can track migrating birds more accurately than ever before. The algorithm uses a combination of satellite imagery and machine learning to track the seasonal migratory patterns of birds. This data can help scientists better understand bird migration patterns, which can have a huge impact on conservation efforts. The algorithm has been tested on over 10,000 birds of various species, and the results have been extremely promising. Scientists have found that the algorithm is able to accurately predict the migration patterns of birds with remarkable precision. This new technology has the potential to make a huge impact on the way we study and protect migratory birds.

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source: Phys.org