Recently, scientists have developed a deep learning-based biosensing platform that promises to revolutionize the way we observe and monitor the natural world. This platform is able to detect and identify various biological entities, such as bacteria, viruses, and fungi, with unprecedented accuracy and speed. The platform works by utilizing a combination of machine learning algorithms and innovative hardware to isolate and identify these organisms. This technology is expected to have a huge impact on the field of environmental science, as it can provide a much more detailed and accurate view of the world around us. With this technology, scientists will be able to better understand the complex interactions between different species and their environment, allowing us to make more informed decisions about conservation and resource management.

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source: Phys.org