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Posted by Dave Steiner, Clinical Research Scientist, Google Health, and Rory Pilgrim, Product Manager Google Research There’s a worldwide shortage of access to medical imaging expert interpretation across specialties including radiology, dermatology and pathology. Machine learning (ML) technology can help ease this burden by powering tools that enable doctors to interpret these images more accurately …

Read more “Health-specific embedding tools for dermatology and pathology”

Posted by Dave Steiner, Clinical Research Scientist, Google Health, and Rory Pilgrim, Product Manager Google Research There’s a worldwide shortage of access to medical imaging expert interpretation across specialties including radiology, dermatology and pathology. Machine learning (ML) technology can help ease this burden by powering tools that enable doctors to interpret these images more accurately …

Read more “Health-specific embedding tools for dermatology and pathology”

The world of AI has undergone a transformation with the rise of large language models (LLMs). These advanced models, often regarded as the zenith of current natural language processing (NLP) innovations, excel at crafting human-like text for a wide array of domains. A trend gaining traction is the tailoring of LLMs for specific fields — …

Read more “Domain-specific AI apps: A three-step design pattern for specializing LLMs”

Posted by Amirkeivan Mohtashami, Research Intern, and Florian Hartmann, Software Engineer, Google Research Large language models (LLMs) have significantly improved the state of the art for solving tasks specified using natural language, often reaching performance close to that of people. As these models increasingly enable assistive agents, it could be beneficial for them to learn …

Read more “Social learning: Collaborative learning with large language models”