Hariri Institute FRP Symposium: Enhancing Models for Breast Cancer Risk Prediction Through Clinician-AI Collaboration
By Maria Yaitanes On October 29th, Hariri Institute hosted the “Enhancing Models for Breast Cancer Risk Prediction Through Clinician-AI Collaboration” virtual Focused Research Program symposium. Please see below for a recap of the day’s engaging presentations, including recordings, key takeaways, and additional readings. We appreciate your interest in this Focused Research Program! A special thank […]
What would you pack if you were heading to Mars?
Boston University scientists explored this question at an interdisciplinary conference held on Friday, May 24 entitled “Space Travel with Earth Wisdom.” The event brought together researchers at the intersection of ecology, botany, biology, bioinformatics, data-science, and space science to look at how humans can approach space travel ethically and sustainably and how we can use […]
Implications of Generative AI (ChatGPT) in Education
By Chloe Wojtanik, Hariri Institute for Computing Over the past year, ChatGPT has become a topic of hot debate, especially in the classroom due to student’s using the software’s work as their own. Whether you support the use of generative artificial intelligence (AI) or not, it’s important to have discussions about both the capabilities as […]
Reflecting On One Year of MPOX Response Event Highlights
Story by BU Center for Emerging Infectious Diseases (CEID) CEID hosted a hybrid event, “Reflecting on One Year of MPOX Response,” in partnership with BU’s Hariri Institute for Computational Sciences & Engineering on August 17th. The panel discussion, which was moderated by CEID Director, Dr. Nahid Bhadelia, featured opening remarks from Dr. Ashish Jha, Dean […]
Event Recap: How to adjust clinical trials in the face of COVID-19
BY: NATALIE GOLD Clinical trials are a vital part of advancing medicine. Just take the COVID-19 vaccine for example: without the existence and continuation of clinical trials, the United Kingdom would not have been able to begin administering a vaccine this week. But there are other clinical trials unrelated to the coronavirus that are necessary […]
AIR Weekly Seminar: Reasoning about Complex Media from Weak Multi-modal Supervision
The Hariri Institute of Computing has organized a “Reasoning about Complex Media from Weak Multi-modal Supervision” seminar on Monday, November 30th, 11:00am- 12:00pm as a part of its AIR Weekly Seminar series. The speaker for this event is Adriana Kovashka, Professor in Computer Science at the University of Pittsburgh. The AIR seminar will address the […]
“Did You Know You Could…?” Series
A Meet and Learn Series led by the Graduate Student Fellows The “Did you know you could…?” series provides a venue in which people can quickly get exposed to practical topics either enabling or enabled by computing and data science. Topics they might not even have realized they wanted to know! And they can meet other similarly […]
Pruned Neural Networks Are Surprisingly Modular
BU Security Group Speaker: Shlomi Hod, PhD Student, Computer Science, Boston University When: Wednesday, July 1, 2020 Time: 11:00am-12:00pm ZOOM Info: https://bostonu.zoom.us/j/222968851?pwd=RTBhSnVnbDhqbnFrMWRSeVU1alYyUT09 Abstract: The learned weights of a neural network are often considered devoid of scrutable internal structure. To discern structure in these weights, we introduce a measurable notion of modularity for multi-layer perceptrons (MLPs), and investigate the […]
Two Speakers Share Automating AI Vision Analysis
AIR Seminar Series Talk 1: “D-RISE” Deep neural networks are being used increasingly to automate data analysis and decision making, yet their decision-making process is largely unclear and is difficult to explain to the end-users. Vitali Petsiuk, Ph.D Student, Computer Science, Boston University Talk 2: “Tracking with NL-RPN” A novel natural language region proposal network (NL-RPN) […]
Blurring Structure and Learning for Adaptive Local Recognition
AIR Distinguished Speaker Series Speaker: Evan Shelhamer, Research Scientist at Adobe, Visiting Researcher at MIT When: Monday, April 6, 2020 Time: 11:00am-12:30pm Abstract: The visual world is vast and varied, but there is nevertheless ubiquitous structure. In this talk, I will focus on incorporating locality and scale structure into deep networks for image-to-image tasks like semantic segmentation. To […]