Envisioning an Imperfect World

in *NEWS, *Research, Artificial Intelligence, ECE - Data Science and Intelligent Systems, ECE - Imaging and Optical Science, ECE Faculty, ECE Research, Electrical and Computer Engineering, Harry Chao

New ECE Professor Harry Chao’s Approach to Machine Learning Meets Reality Where It Is by A.J. Kleber Outside the tidy binaries of digital computation, the world is a messy place. Few things in life are clearly observable and predictable, whether you’re looking at individual human behavior, traffic, organisms, or the weather. This is a truth […]

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Illuminating Energy-Efficient AI

in *NEWS, *Research, Ajay Joshi, Artificial Intelligence, ECE - Data Science and Intelligent Systems, ECE - Photonics, Electronics, and Nanotechnology, ECE Faculty, ECE Research, Electrical and Computer Engineering

Supported by a $1.5M NSF grant, Professor Ajay Joshi is exploring the development of novel electro-photonic computing architectures that could perform as well or better than conventional electronic GPUs.

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Smart Management for AI Power Consumption

in *NEWS, *Research, Artificial Intelligence, Ayse Coskun, ECE - Data Science and Intelligent Systems, ECE - Mobile/Cloud Computing and Cybersecurity, ECE Faculty, ECE Research, Electrical and Computer Engineering, Emiliano Dall'Anese

A pair of BU ECE faculty researchers are teaming up to work on a solution that will be environmentally sustainable … and help to sustain AI’s continued growth.

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NIH Awards $3.1M Grant to Kayhan Batmanghelich for Pulmonary Biomarker Research

in *NEWS, *Research, Artificial Intelligence, ECE - Bio-ECE and Digital Health, ECE - Data Science and Intelligent Systems, ECE Faculty, ECE Research, Electrical and Computer Engineering, Kayhan Batmanghelich

AI-driven approach integrates Multi-Modal Data and Biomechanics for Better Diagnosis and Tracking of Chronic Obstructive Pulmonary Disease (COPD)

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MechE Students Work With Alum to Bring AI-Driven Product to Market

in *NEWS, Artificial Intelligence, Mechanical Engineering, Steve Chomyszak

What does it take to design an aesthetically sleek AI-driven product with mass market appeal? Three MechE MS students, Ben Wheeler (ENG ’25), Nick Teguis (ENG ’25), and Tage Colberg (ENG ’25) got into the depths of this question over the Spring 2025 term. Working with Alumni Samuel (ShengEr) Zhou (CAS & QST’ 22) and […]

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