Institute Director Azer Bestavros and Initiative on Cities Director Katharine Lusk co-led the National Science Foundation-Sponsored Workshop on Effective Community-University-Industry Collaboration Models for Smart and Connected Communities Research, as featured in the BU Federal Relations newsletter Beltway BUzz.
This talk by Mike Jones, senior principal research scientist at Mitsubishi Electric Research Labs, will demonstrate how L2 distance is not the best basis of comparison to use in convolutional neural network (CNN) analysis for face verification and propose the hyperplane similarity as a more appropriate similarity function that is derived from the softmax loss function used to train the network.
This year’s Boston University Mellon Sawyer Seminar, co-sponsored by the Hariri Institute for Computing and titled, “Humanity and Technology at the Crossroads: Where Do We Go From Here?” invites interested BU faculty to join in a day-long event on the issues of accountability, ethics, and algorithms.
This talk by Zhengming Ding, a graduate student at Northeastern University, outlines a proposal to build a large-scale face recognizer capable of fighting off the data imbalance difficulty that existing machine learning approaches experience in mimicking human visual intelligence. To seek a more effective general classifier, we develop a novel generative model attempting to synthesize meaningful data for one-shot classes by adapting the data variances from other normal classes.
The Hariri Institute is excited to host student poster sessions and presentations for five courses this semester: Data Mechanics, Mobile App Development, Machine Learning, Data Science and Spark! Ventures.
The Data Science Initiative, housed at the Hariri Institute for Computing, is pleased to announce that the third annual BU Data Science (BUDS) Day will take place on Friday, January 26, 2018. BUDS Day 2018 is co-chaired by Neha Gondal (Sociology) and Brian Kulis (Electrical & Computer Engineering).
The Hariri Institute is excited to host the JP Morgan Machine Learning Presentation at BU. Coordinated by Assistant Professor of Mathematics & Statistics Kostas Spiliopoulos, the event is open to students in fields such as, but not limited to, mathematics, statistics, computer science, engineering, physics, chemistry, finance and any interdisciplinary combinations of these.
Join the BU Cyber Alliance for a 11/28 seminar on differential privacy, featuring BU professor, Adam Smith.
Ellen Goodman (Rutgers) presents on questions about algorithmic ethics – about the values embedded in artificial intelligence and big data analytics that increasingly replace human decision-making.
This talk by Andrei Barbu, a research scientist at MIT, will discuss a program to unify research around a number of vision-language problems into a single mathematical framework culminating in a robotic platform that is able to follow natural language commands, store knowledge, and answer questions.