A “bang” in LIGO and Virgo detectors signals most massive gravitational-wave source yet
A binary black hole merger likely produced gravitational waves equal to the energy of eight suns.
Making health care more personal
The company Health at Scale uses machine learning to improve outcomes for individual patients.
Six strategic areas identified for shared faculty hiring in computing
New faculty in these areas will connect the MIT Schwarzman College of Computing and a department or school.
Real-time data for a better response to disease outbreaks
The startup Kinsa uses its smart thermometers to detect and track the spread of contagious illness before patients go to the hospital.
The factory of the future, batteries not included
Everactive provides an industrial “internet of things” platform built on its battery-free sensors.
Data systems that learn to be better
Storage tool developed at MIT CSAIL adapts to what its datasets’ users want to search.
What is the Covid-19 data tsunami telling policymakers?
A global team of researchers searches for insights during a weeklong virtual “datathon.”
Improving global health equity by helping clinics do more with less
The startup macro-eyes uses artificial intelligence to improve vaccine delivery and patient scheduling.
Bringing the predictive power of artificial intelligence to health care
The startup ClosedLoop has created a platform of predictive models to help organizations improve patient care.
From delayed deceleration to Zooming
Jacqueline Thomas PhD ’20 recounts her final academic year at MIT, from once-in-a-lifetime field work to a virtual thesis defense.
The social life of data
New Data and Society course engages students in the ethics and societal implications of data.
If transistors can’t get smaller, then coders have to get smarter
MIT CSAIL researchers say improving computing technology after Moore's Law will require more efficient software, new algorithms, and specialized hardware.
Algorithm quickly simulates a roll of loaded dice
Approach for generating numbers at random may help analyses of complex systems, from Earth’s climate to financial markets.
A data-driven response to a pandemic
Isolat, a volunteer collaboration organized by the Institute for Data, Systems, and Society, informs coronavirus policy by analyzing data associated with the pandemic.
Reporting tool aims to balance hospitals’ Covid-19 load
Based on crowdsourced data, app helps patients, EMTs, and physicians determine real-time availability of hospital resources.