Advances in Neuro-Symbolic AI — IBM Seminar Series - Speakers
Alexander Gray serves as VP of Foundations of AI at IBM, and currently leads IBM’s Neuro-Symbolic AI Theme (distinct from the work in the MIT-IBM Lab). He received AB degrees in Applied Mathematics and Computer Science from UC Berkeley and a PhD in Computer Science from Carnegie Mellon University. BeforeIBM he worked at NASA, served as a tenured Associate Professor at the Georgia Institute of Technology, and co-founded and sold an AI startup in Silicon Valley. His work on machine learning, statistics, and algorithms for massive datasets, predating the movement of "big data" in industry, has been honored with a number of research awards including the NSF CAREER Award, multiple best paper awards, selection as a National Academy of Sciences Kavli Scholar, and service as a member of the 2010 National Academy of Sciences Committee on the Analysis of Massive Data. His current interests generally revolve around the injection of non-mainstream ideas into ML/AI to attempt to break through long-standing bottlenecks of the field.
|Manuela M. Veloso
J.P. Morgan AI Research
Manuela M. Veloso is the Head of J.P. Morgan AI Research, which pursues fundamental research in areas of core relevance to financial services, including data mining and cryptography, machine learning, explainability, and human-AI interaction. J.P. Morgan AI Research partners with applied data analytics teams across the firm as well as with leading academic institutions globally.
Professor Veloso is on leave from Carnegie Mellon University as the Herbert A. Simon University Professor in the School of Computer Science, and the past Head of the Machine Learning Department. With her students, she had led research in AI, with a focus on robotics and machine learning, having concretely researched and developed a variety of autonomous robots, including teams of soccer robots, and mobile service robots. Her robot soccer teams have been RoboCup world champions several times, and the CoBot mobile robots have autonomously navigated for more than 1,000km in university buildings.
Professor Veloso is the Past President of AAAI, (the Association for the Advancement of Artificial Intelligence), and the co-founder, Trustee, and Past President of RoboCup. Professor Veloso has been recognized with multiple honors, including being a Fellow of the ACM, IEEE, AAAS, and AAAI. She is the recipient of several best paper awards, the Einstein Chair of the Chinese Academy of Science, the ACM/SIGART Autonomous Agents Research Award, an NSF Career Award, and the Allen Newell Medal for Excellence in Research.
Professor Veloso earned a Bachelor and Master of Science degrees in Electrical and Computer Engineering from Instituto Superior Tecnico in Lisbon, Portugal, a Master of Arts in Computer Science from Boston University, and a Master of Science and Ph.D. in Computer Science from Carnegie Mellon University. See www.cs.cmu.edu/~mmv/Veloso.html for her scientific publications.
CEO, Allen Institute for AI
Dr. Oren Etzioni is Chief Executive Officer at AI2. He is Professor Emeritus, University of Washington as of October 2020 and a Venture Partner at the Madrona Venture Group since 2000. His awards include Seattle’s Geek of the Year (2013), and he has founded or co-founded several companies, including Farecast (acquired by Microsoft). He has written over 100 technical papers, as well as commentary on AI for The New York Times, Wired, and Nature. He helped to pioneer meta-search, online comparison shopping, machine reading, and Open Information Extraction.
University of Washington
Pedro Domingos is a professor of computer science at the University of Washington and the author of "The Master Algorithm". He is a winner of the SIGKDD Innovation Award and the IJCAI John McCarthy Award, two of the highest honors in data science and AI, and a Fellow of the Association for the Advancement of Artificial Intelligence. His research spans a wide variety of topics in machine learning, artificial intelligence, and data science. He helped start the fields of statistical relational AI, data stream mining, adversarial learning, machine learning for information integration, and influence maximization in social networks.
|Luís C. Lamb
State of Rio Grande do Sul, Brazil
Luis C. Lamb is a Full Professor and Secretary of Innovation, Science and Technology of the State of Rio Grande do Sul, Brazil. He was formerly Vice President for Research (2016-2018) and Dean of the Institute of Informatics (2011-2016) at the Federal University of Rio Grande do Sul (UFRGS), Brazil. He holds both the Ph.D. in Computer Science from Imperial College London (2000) and the Diploma of the Imperial College, MSc by research (1995) and BSc in Computer Science (1992) from UFRGS, Brazil. His research interest includes neural-symbolic computing, the integration of learning and reasoning, and ethics in AI. He co-authored two research monographs: Neural-Symbolic Cognitive Reasoning, with Garcez and Gabbay (Springer, 2009) and Compiled Labelled Deductive Systems, with Broda, Gabbay, and Russo (IoP, 2004). His research has led to publications at flagship journals, AI and neural computation conferences. He was co-organizer of two Dagstuhl Seminars on Neuro-symbolic AI: the Dagstuhl Seminar 14381: Neural-Symbolic Learning and Reasoning (2014) and Dagstuhl Seminar 17192: Human-Like Neural-Symbolic Computing (2017) and several workshops on neural-symbolic learning and reasoning at AAAI and IJCAI.
Assistant Professor, Department of Computer Science
Mrinmaya Sachan is an Assistant Professor of Computer Science at ETH Zurich. His research is in the interface of machine learning, natural language processing, knowledge discovery and reasoning. He received an outstanding paper award at ACL 2015, an IBM fellowship, the Siebel scholarship and the CMU CMLH fellowship. He was also a finalist for the Facebook fellowship. Prior to this position, Mrinmaya was a Research Assistant Professor at TTI Chicago. He received a Ph.D. from the Machine Learning Department at CMU and a B.Tech. in Computer Science from IIT Kanpur where he received an Academic Excellence Award.
IBM Global Bussiness Service
Dr. Haydock serves as an IBM Fellow and Chief Scientist and leads the Quantum Consulting Practice Worldwide. He has worked with industrial clients in retail direct mail, retail store, agricultural chemicals, financial services, insurance, health care, telecommunications, aerospace, consumer products, and transportation. He holds a U.S. Patent in “Efficient Customer Contact Strategies” and has published work in several journals that detail the application of mathematical methods in efficient customer treatments and improvements to optimize supply chains in the service of those customers. These treatment strategies use marketing automation and portfolio management techniques to synchronize business responses across multiple retail contact channels or customer “touch-points” and numerical optimization techniques to insure the proper resource allocation is met at minimum investment risk. Recent work has also included innovations in the area of pricing optimization, multi-dimensional clustering, and machine learning & cognitive computing. A highly regarded paper initially introducing the specialized area of longitudinal marketing strategy appears in the book “Industrial Applications in Operations Research” (MacMillan & Press). Research efforts applying novel multi-dimensional clustering methods, machine learning (using massive amounts of external data), and optimization strategies are currently being conducted at several retailers.
Dr. Haydock was awarded a Bachelor of Science and a Master of Science degree from Florida Atlantic University, with a specialization in Marketing Management and has earned a Ph.D. in Applied Management & Decision Sciences with a specialization in Operations Research at Walden University in Minneapolis, MN. Dr. Haydock has previously served clients as an executive at IBM, Cray Research, Control Data and as an entrepreneur serving on the Board of Directors of several analytic companies he founded.
The University of Auckland
Professor at The University of Auckland