May 8, 2019
WCVB-TV’s Jennifer Eagan reports that researchers from MIT and MGH have developed a deep learning model that can predict a patient’s risk of developing breast cancer in the future from a mammogram image. Prof. Regina Barzilay explains that the model “can look at lots of pixels and variations of the pixels and capture very subtle patterns.”
MIT and the U.S. Air Force “are teaming up to launch a new accelerator focused on artificial intelligence applications,” writes Danny Crichton for TechCrunch. The goal is that projects developed in the MIT-Air Force AI Accelerator would be “addressing challenges that are important to both the Air Force and society more broadly.”
Will Knight writes for MIT Technology Review about the MIT-Air Force AI Accelerator, which “will focus on uses of AI for the public good, meaning applications relevant to the humanitarian work done by the Air Force.” “These are extraordinarily important problems,” says Prof. Daniela Rus. “All of these applications have a great deal of uncertainty and complexity.”
Profs. Michael Strano and Sheila Kennedy have developed an exhibit for the Cooper Hewitt Design Triennial, which explores how Strano’s glowing plant research could be part of a sustainable energy future. “The pair is one of 62 design teams involved in the [Triennial], which highlights innovative ways humans are engaging with nature,” writes Emily Matchar for Smithsonian.
The new MIT-Air Force AI Accelerator “will look at improving Air Force operations and addressing larger societal needs, such as responses to disasters and medical readiness,” reports Breanne Kovatch for The Boston Globe. “The AI Accelerator provides us with an opportunity to develop technologies that will be vectors for positive change in the world,” says Prof. Daniela Rus.
In an excerpt from her new book published in The Wall Street Journal, President Emerita Susan Hockfield explores how the convergence between biology and engineering is driving the development of new tools to tackle pressing human problems. Hockfield writes that for these world-changing technologies to be realized requires “not only funding and institutional support but, more fundamentally, a commitment to collaboration among unlikely partners.”
Graduate student John Urschel speaks with Karen Given of WBUR’s Only a Game about how his mother helped encourage his passion for mathematics. "Most kids get their allowance by, you know, mowing the lawn — things like this," Urschel says. "My mom, because she recognized that I was strong in math, wanted to encourage me with respect to math."