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Ross Hanson is a distinguished Principal Research Scientist at Amazon Web Services (AWS) AI Labs, specializing in Machine Learning, Computer Vision, and Robotics. With over a decade of experience in advanced research and development post-Ph.D., Ross focuses on creating innovative AI solutions and pushing the boundaries of intelligent systems. His work often involves leading research initiatives, developing scalable machine learning models, and translating cutting-edge academic findings into practical applications that enhance AWS services and empower customers. He has a strong background in areas such as deep learning, 3D computer vision, and autonomous navigation, contributing significantly to the evolution of AI technologies.
Ross Hanson's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Delivered a keynote address on 'The Future of Embodied AI and Robotics' at a major international conference, sharing insights on recent breakthroughs and future directions in the field.
Led the core research and algorithm development for a new, highly successful AWS AI service, significantly improving computer vision capabilities for AWS customers worldwide.
Awarded several U.S. patents for novel machine learning algorithms and systems, particularly in areas of efficient deep learning and sensor fusion for robotics.
Authored and co-authored numerous influential research papers published in prestigious AI conferences and journals like CVPR, NeurIPS, ICRA, and Science Robotics, contributing to the academic community's knowledge base.
Recognized internally at AWS with an Inventor Award for significant contributions to the company's intellectual property portfolio through impactful patents and innovations in AI.
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Memo is a data platform that provides PR and communications teams with insights into the readership and impact of their earned media. It helps companies understand who is reading their press coverage and how it influences brand perception and business outcomes by analyzing publisher data directly.
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