Deep learning has revolutionized research workflows by automating tasks such as email responses and visual sketch creation. It is projected to have a significant impact on the healthcare and pharma industries, as well as individual researchers, by increasing productivity. The development of CNNs and large-scale annotated datasets has expanded the capabilities of computer-based image analysis, making it more applicable to complex tasks. Early computer vision tools relied on handcrafted features, but deep learning has made them more generalizable and accessible.
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