Hariri Institute for Computing, Boston University

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Hariri Institute for Computing, Boston University

Hariri Institute for Computing, Boston University

@BU_Computing

Initiating data-driven research convergence & accelerating integrated initiatives for social impact in #datascience #ai #ml #cloudcomputing & #cybersecurity

665 Commonwealth Ave Boston MA Katılım Eylül 2013
572 Takip Edilen1.7K Takipçiler
Hariri Institute for Computing, Boston University
Congratulations to Hariri Junior Faculty Fellow Dillon Brout for receiving the 2026 New Horizons in Physics Prize — one of the most coveted honors for early-career scientists and part of the Breakthrough Prize Foundation awards, widely known as the “Oscars of Science.” Read more: spr.ly/6011BBEUaU
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Hariri Institute for Computing, Boston University
BU SAIL won a $400K Alfred P. Sloan Foundation grant to advance an open-source initiative making generative AI more reproducible, secure, and accessible across higher education. Building on a successful pilot, the project now moves toward a scalable, community-driven platform. spr.ly/6016B6NJOp
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Hariri Institute for Computing, Boston University
Join us! On Thursday, April 16, Ming Chen will join us for a Center for Computational Science Seminar to discuss how integrating physical principles at inference time, during model design, and within model architectures can substantially improve the accuracy, data efficiency, and transferability of AI-for-science frameworks spr.ly/6011B6LjaF
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Hariri Institute for Computing, Boston University
Join us on April 15 for Marshall Van Alstyne’s CyberAlliance talk, "Using Markets to Curb Misinformation," exploring how market design and financial accountability mechanisms like Truth Warrants may reduce false claims without censorship or centralized moderation. 4:30–5:45 PM | LAW Faculty Lounge, 15th floor | spr.ly/6014B6IOSp
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Hariri Institute for Computing, Boston University
Is there life beyond PCA? Find out at the ECE/Hariri Institute Seminar with Bruno Sinopoli (Arizona State University) — presenting linear methods for dimensionality reduction that rival autoencoders, kernel PCA, and UMAP. 📅 April 16, 11 AM–12 PM | CDS 1101 Details: spr.ly/6010B6xRyq
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Hariri Institute for Computing, Boston University
Can the United States' constitutional democracy survive another 250 years in the age of AI? Fordham's Catherine Powell — Eunice Hunton Carter Distinguished Research Scholar & Professor of Law — will connect algorithmic discrimination, surveillance, and constitutional democracy. BU, 3/25, 4:30 PM. spr.ly/6015B6njHh
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Hariri Institute for Computing, Boston University
Bill Freeman, a Thomas and Gerd Professor of Electrical Engineering and Computer Science at MIT EECS, recently completed a 40-year-long project — a project he'll review at our Distinguished Speaker Seminar on Tuesday, March 24! This event is co-sponsored by the BU Artificial Intelligence Research (AIR) Initiative and the Hariri Institute. Learn more: spr.ly/6018B6RCOn
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Hariri Institute for Computing, Boston University
🔐 Join us Wednesday, March 18 for a CyberAlliance Seminar with Morgan Weiland, Assistant Professor of Communication Law at Boston University College of Communication, as she presents "Courtroom as Laboratory: How the Reno Litigation Produced Legal Facts and Knowledge about the Internet."
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Hariri Institute for Computing, Boston University
Join us for the MedAI Hack on April 10 & 11 as we tackle real biomedical problems using AI/ML on de-identified clinical datasets—imaging, EHR, genomics, and more. Limited spots and up to $10K in prizes! Register by April 3: spr.ly/6019hCY8c
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This Wednesday! Join the Center for Computational Science as they co-sponsor a Greater Boston TheoChem Seminar with Connor Coley, Associate Professor of Chemical Engineering, Electrical Engineering and Computer Science at MIT Talk Title: Computer-aided synthesis planning: the basics & beyond Abstract: Much progress has been made in recent years toward the development of computer-aided synthesis planning (CASP) programs capable of recommending retrosynthetic pathways to molecules of interest. Modern programs make use of machine learning techniques to learn feasible retrosynthetic disconnections from databases of published organic reactions. In the first half of the talk, I will discuss the key components of CASP and the variety of approaches that have been taken by our group and others to address them. In the second half, I will focus on a couple of recent research directions we have undertaken to (i) improve our ability to ideate pathways for complex molecules, (ii) make recommended pathways more experimentally actionable, and (iii) critically evaluate the feasibility of proposed transformations.
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