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System ensures hackers eavesdropping on large networks can’t find out who’s communicating and when they’re doing so.
Simple chip powered by quantum dots allows standard microscopes to visualize difficult-to-image biological organisms.
Whisk-shaped device preserves water contaminants in a dry state that can be shipped for analysis.
Matt Shoulders hopes to shed light on diseases linked to flawed protein folding.
Boston Globe reporter Scott Kirsner explores the growth and impact of The Engine, highlighting how the venture is “revving up the potential” of tough tech startups. Kirsner notes that The Engine has “managed to create a supremely supportive ecosystem for these startups.”
Most materials have a fixed ability to conduct heat, but applying voltage to this thin film changes its thermal properties drastically.
PatternEx merges human and machine expertise to spot and respond to hacks.
Study shows people prefer monthly payments in multiples of $100, even when it may cost them money.
In a Starr Forum talk, Luis Videgaray, director of MIT’s AI Policy for the World Project, outlines key facets of regulating new technologies.
A deep-learning model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria.
MIT professor and alumna shared the 2019 Nobel Prize in economics, which recognized collaborators’ “experimental approach to alleviating global poverty.”
Retired Navy four-star admiral and former chancellor of University of Texas system will address the Class of 2020 on May 29.
Boston 25’s Chris Flanagan visits MIT to learn more about how researchers have developed a smart diaper that can send caregivers an alert when moisture is detected. “It can help in identifying skin hydration and prevent rashes from happening on the skin because, if the diaper is left on for too long, it can lead to skin rashes," says research associate Pankhuri Sen.
Profs. Regina Barzilay and James Collins speak with Angus Chen of WBUR about how they developed a new algorithm to identify an antibiotic that could treat drug-resistant bacteria. “The study shows the power of harnessing artificial intelligence to address the antibiotic resistance crisis,” says Collins.
Reporting for CBS Boston, Dr. Mallika Marshall spotlights how MIT researchers have uncovered a new antibiotic using a deep-learning algorithm. Marshall notes that the researchers tested the new antibiotic “against dozens of bacteria in lab dishes and found it could kill many strains that are resistant to treatment.”
Writing for Forbes, Joseph Coughlin, director of the MIT AgeLab, explores how AgeLab researchers are examining the work of caregivers as part of an effort to “help us to understand how technology might help caregivers; the many other ways that caregivers need help to provide care to others and to care for themselves; and how to plan for this universally experienced fact of life.”
Neha Narula, director of the Media Lab’s Digital Currency Initiative, writes for The Wall Street Journal about why she feels the U.S. dollar should be digitized. “The U.S. could help pave the way for faster, cheaper and more secure payments by allowing consumers to hold central-bank-issued digital currency outside of commercial banks,” writes Narula.
Alumna Mareena Robinson Snowden PhD '17 speaks with NBC’s Erin Delmore about what inspired her to pursue a career in nuclear engineering and the challenges women and minorities face in STEM fields. “I think it’s tremendously important to have this diversity of voices, not just from a cultural perspective or from a gender perspective, but just lived experience,” says Snowden.
Writing for The Conversation, Sriram Chandrasekaran explores how MIT researchers used a deep-learning algorithm to identify an antibiotic that could be used to treat drug-resistant bacteria. Chandrasekaran writes that AI technologies “may soon give us a leg up in the never-ending battle against drug resistance.”
