Niloy Mitra, University College London Monday, November 12, 2018, 10:30am Networking reception, 10:30-11:00am; Seminar 11:00-12:00pm Kilachand Center, 610 Commonwealth Avenue Boston, MA 02215 “CreativeAI: Machine Learning meets 3D Content Creation” Abstract: A long-standing goal of Computer Graphics is to create high-quality geometric content for a variety of applications including games, movies, product design, and engineering […]
Category: AI Research
Aishwarya Agrawal, Georgia Tech Wednesday, October 31, 2018 11:30am – 12:30pm in MCS 148 Hariri Institute for Computing 111 Cummington Mall Boston, MA 02215 Abstract: In this talk, I will present our work on Visual Question Answering (VQA) — I will provide a brief overview of the VQA task, dataset and baseline models, as well as, […]
Researchers from Boston University’s Artificial Intelligence Research Initiative (AIR), housed at the Hariri Institute, attempt to understand how computers make decisions once they have been programmed to learn. Kate Saenko, an Assistant Professor in the Computer Science department at BU, takes a look into how computers programmed with artificial intelligence gather information and go about […]
BU researchers from the Hariri-housed Artificial Intelligence and Emerging Media (AIEM) team have received a grant from the National Science Foundation to fund their project “BIGDATA: IA: Multiplatform, Multilingual, and Multimodal Tools for Analyzing Public Communication in over 100 Languages”. Led by Artificial Intelligence Research Initiative (AIR) Core Faculty member Margrit Betke, members of the awarded group include Derry Wijaya, Assistant Professor […]
In an acknowledgement of Boston University’s continued rise as a top institution for innovation, it has been placed for the first time on the 2019 edition of US News & World Report‘s Most Innovative Colleges list. The recognition comes after US News conducted a survey in which college presidents, provosts, and admissions deans were asked to nominate institutions […]
“‘Does This Vehicle Belong to You?’ Processing the Language of Policing for Improving Police-Community Relations” Dan Jurafsky (Stanford)
Dan Jurafsky, Stanford University Monday, October 22, 2018, 10:30am Networking reception, 10:30-11:00am; Seminar 11:00-12:00pm Kilachand Center, 610 Commonwealth Avenue Boston, MA 02215 “Does This Vehicle Belong to You?” Processing the Language of Policing for Improving Police-Community Relations Abstract: Police body-worn cameras have the potential to play an important role in understanding and improving police-community relations. […]
What began as a small, Hariri Institute seed-funded research project to explore new methods for analyzing social media data has grown into a Google-sponsored, award-winning research endeavor. Lei Guo, Hariri Junior Faculty Fellow and Assistant Professor of Emerging Media Studies, received a Hariri Research Incubation award in June of 2016 to pursue her proposal, Statistically Principled […]
Vijaya Kolachalama, a faculty member within the Section of Computational Biomedicine in the Boston University School of Medicine, leverages machine learning, image processing, and statistical modeling to understand pathophysiological mechanisms relevant to forecasting the likely course of various diseases. Funded through the Hariri Institute Research Incubation Award program in January of 2017, Kolachalama’s project, Machine Learning-Driven Quantification of Pathological Fibrosis […]
As artificial intelligence (AI) becomes more and more commonplace, the demand for these tools to reduce mistakes and become more transparent has created a critical need for advanced research. Bolstered by a $7.55 million grant from the Defense Advanced Research Projects Agency (DARPA), Kate Saenko, assistant professor of computer science and core faculty member of the AI Research (AIR) Initiative at BU, and UC-Berkeley faculty Trevor Darrell are working to uncover new ways to understand the decision-making processes of AI tools.
Brian Kulis joined BU in the fall of 2015, bringing his expertise in machine learning and artificial intelligence (AI) to key research and teaching thrusts of the university. An assistant professor of electrical and computer engineering and the inaugural Levine Career Development Professor, Kulis leverages AI and machine learning to advance the rapidly expanding field of data science.