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The integration of Artificial Intelligence (AI) and Machine Learning (ML) into microscopy has ushered in a new era of automation, efficiency, and discovery potential. This article explores how AI and ML are transforming image analysis, feature extraction, and accelerating progress in drug discovery, material science, and other scientific disciplines. AI-powered image segmentation techniques automate tasks like segmenting complex biological structures within electron microscopy images, outperforming traditional methods and reducing bias.
AI has shown remarkable capabilities in image classification tasks, enabling faster and more objective disease diagnosis by recognizing specific markers and subtypes of diseases in tissue microscopy images. The advancements in convolutional neural networks (CNNs) have significantly improved the accuracy of image segmentation and classification, achieving results equivalent to expert manual annotations. AI and ML have also enabled real-time imaging and analysis, providing researchers with unprecedented detail and temporal resolution to understand complex biological processes.
Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
How to level up your teaching with AI. Discover how to use clones and GPTs in your classroom—personalized AI teaching is the future.
Trump's Third Term? AI already knows how this can be done. A study shows how OpenAI, Grok, DeepSeek & Google outline ways to dismantle U.S. democracy.
Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.
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