BU Launches an Open-Source Infectious Diseases Monitoring Tool Powered by AI and Human Experts
From measles, to influenza, to mpox, to malaria—infectious diseases outbreaks are happening all over the world, at nearly all times. For health professionals and public health officials, staying up-to-date with pathogens that are particularly dangerous—or have the potential to become a pandemic, like COVID-19 did—is vitally important to help keep us all safe. But accessing real-time information on outbreaks, as they pop up around the globe, isn’t always simple; currently, much of it is aggregated by hand.
Lightspeeding A.I.
ECE professor’s trailblazing startup shines light on energy efficient AI infrastructure.
New AI/ML Awards, from Google to BU ECE
Three ECE faculty members were among the first recipients of Google’s inaugural Academic Research Awards (GARA) this fall, recognizing their groundbreaking work in AI and machine learning.
Analog Neural Networks: Nature Communications Publishes ECE Researchers’ Blueprint for Precision
First author Cansu Demirkiran (ECE PhD’24) and advisor Professor Ajay Joshi discuss “fault-tolerant analog neural networks.”
Professor Wenchao Li Earns NSF CAREER Award
Professor Li’s project aims to overcome fundamental challenges in Imitation Learning for AI systems.
A Bright New Light: Tianyu Wang Joins ECE
BU ECE’s newest Assistant Professor believes in the power of convergent research to spark novel technological advances.
Professor Venkataraman Provides Nuanced Perspective On Medical Applications of A.I.
Professor Archana Venkataraman added her experienced voice to the ongoing public conversation about the transformative potential of A.I. in a recent article for Newsweek.