The Real Work Behind AI
Artificial Intelligence (AI) is the science of enabling a computer to perform a specific task without providing explicit instructions. AI is the hottest buzz word in tech, and with good reason. Recent breakthroughs have seen a number of techniques previously reserved for science fiction slowly transforming into science fact.
With current technologies, one can use AI to achieve unprecedented expert-level accuracy for diverse applications. However, using AI algorithms requires a good understanding of their requirements and limitations. In this session, we will clearly define AI nomenclature, and explore the potential and challenges of using AI technologies to efficiently solve real-world problems.
Aditya Sriram is a Ph.D. candidate in the faculty of Engineering at the University of Waterloo where he is a member of KIMIA Lab (Laboratory for Knowledge Inference in Medical Image Analysis). He brings an extensive understanding of how Artificial Intelligence moves research and industries forward.
Since 2011, his research activities encompass content-based retrieval of medical images using machine learning, deep learning, and computer vision approaches. He has developed learning schemes and descriptors for medical imaging and published his works in top-tier journals and conferences. Aditya Sriram has vast industrial experience and has worked with several companies. Presently, he is a Senior AI Strategist at Information Builders, part of the Corporate Strategic Services team in New York, United States.
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