Second annual Women in Data Science conference showcases research, explores challenges
Co-hosted by MIT's Institute for Data, Systems, and Society, WiDS Cambridge brings together students, academic leaders, and industry partners.
Topic
Electrical engineering and computer science (EECS)
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The "Infinite" in the Bay Area
MIT faculty and students bring their health care research, and enthusiasm, to alumni in California.
!["As the momentum builds, developers will be able to set up a ML [machine learning] apparatus just as they set up a database," says Max Kanter, CEO at Feature Labs. "It will be that simple."](/sites/default/files/styles/term_page__news_article/public/images/201803/Machine-Learning-Final-01.png?itok=cFwF0sOA)
ML 2.0: Machine learning for many
Automated data science tools developed by MIT and Feature Labs deliver their first AI product.
Timothy Lu seeks to combat disease by reprogramming biological systems
Synthetic biologist hopes to develop treatments for cancer and other diseases.
Jani Adcock and Drew Bent named Knight-Hennessy Scholars
Seniors will join class of 49 scholars in new fellowship program.
Making appliances and energy grids more efficient
The Tata Center is building a high-efficiency, affordable electric motor that could have a huge impact in India, home to as many as half a billion ceiling fans.
MIT rates No. 1 in 12 subjects in 2018 QS World University Rankings
MIT ranked within top 5 in 19 out of 48 subject areas.
Custom carpentry with help from robots
CSAIL’s robotic system minimizes dangerous sawing, helps users customize furniture.
Private browsing gets more private
New system patches security holes left open by web browsers’ private-browsing functions.
Human malaria parasites grown for the first time in dormant form
Novel technology could allow researchers to develop and test new antimalaria drugs.
Houston gives a Texas-sized welcome to the MIT Better World Tour
At the Hobby Center for the Performing Arts, alumni and friends celebrate the creativity and strength of MIT and the city of Houston.
Neural networks everywhere
New chip reduces neural networks’ power consumption by up to 95 percent, making them practical for battery-powered devices.
Energy-efficient encryption for the internet of things
Special-purpose chip reduces power consumption of public-key encryption by 99.75 percent, increases speed 500-fold.
Programming drones to fly in the face of uncertainty
CSAIL's NanoMap system enables drones to avoid obstacles while flying at 20 miles per hour, by more deeply integrating sensing and control.
Jennifer Rupp: Engineering practical ceramics
Assistant professor in EECS is developing materials with novel structures and useful applications, including renewable energy and information storage.