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Mr. Qiao Xin is a distinguished research scientist and thought leader in the field of Artificial Intelligence, with a particular focus on Natural Language Processing (NLP) and Machine Learning ethics. With nearly two decades of experience, he has been instrumental in developing cutting-edge AI models and frameworks that have practical applications across various industries, including healthcare, finance, and education. Mr. Qiao Xin is currently a Chief AI Scientist at a leading technology firm in Beijing and is a respected voice in discussions surrounding responsible AI development. He is known for his ability to bridge the gap between complex theoretical research and real-world impact, and frequently contributes to academic journals and industry conferences.
Mr. Qiao Xin's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Led a groundbreaking research team that developed a novel cross-lingual NLP model, significantly improving translation accuracy and understanding across multiple languages, which has been adopted by several international organizations.
Published the influential book 'The Ethical AI Handbook,' which has become a standard reference for developers and policymakers on creating and deploying AI systems responsibly and ethically.
Awarded the prestigious National Innovation Award in Technology for his significant contributions to AI research and its societal benefits, particularly in advancing accessible AI tools.
Delivered a highly acclaimed keynote address on 'The Future of Human-AI Collaboration' at the Global AI Summit 2023, attended by industry leaders and researchers worldwide.
Successfully developed and deployed an AI-powered diagnostic assistant tool that aids medical professionals in early disease detection, demonstrably improving patient outcomes in pilot programs.
浙江大学
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Deepwise Healthcare (深睿医疗) is an AI-powered medical technology company specializing in advanced medical image analysis and diagnostics. Their solutions leverage artificial intelligence to assist healthcare professionals in detecting diseases earlier and more accurately from medical scans like CT and MRI, focusing on areas such as oncology, neurology, and cardiovascular conditions. The goal is to improve diagnostic efficiency and patient outcomes.
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