The field of artificial intelligence (AI) has seen several proposals for representing a task. Two prominent ones are (1) neural AI which represents it in a brain-like computation network and (2) symbolic AI which uses explicit symbolic theories over a logic-based system. While deep neural models have revolutionized perceptual AI in modern times, symbolic representations have continued to remain the model of choice for pure reasoning problems. An emerging body of work called Neuro-Symbolic AI attempts at combining both representations for varied benefits. In this talk, I will discuss the importance of Neuro-Symbolic AI, and describe several recent research threads in my group, with applications ranging from natural language processing, probabilistic decision-making, and constraint satisfaction.
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Mausam is the founding head of Yardi School of Artificial Intelligence, along with being a Professor of Computer Science at IIT Delhi. He is also an affiliate professor at University of Washington, Seattle. With an over twenty year research experience in artificial intelligence, he has, over time, contributed to many research areas such as large scale information extraction over the Web, AI approaches for optimizing crowdsourced workflows, and probabilistic planning algorithms. More recently, his research is exploring neuro-symbolic machine learning, computer vision for radiology, NLP for robotics, multilingual NLP, and several threads in intelligent information systems that include information extraction, knowledge base completion, question answering, summarization and dialogue systems. He has over 100 archival papers to his credit, along with a book, two best paper awards, and one test of time award. Mausam was awarded the AAAI Senior Member status in 2015 for his long-term participation in AAAI and distinction in the field of artificial intelligence. He has had the privilege of being a program chair for two top conferences, AAAI 2021, and ICAPS 2017. He was ranked the 56th most influential NLP scholar and 64th most influential AI scholar by ArnetMiner AI2000 Ranking in 2021. He received his PhD from University of Washington in 2007 and a B.Tech. from IIT Delhi in 2001.
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