All posts by MIT News

Using recent gene flow to define microbe populations

>>New method identifies ecologically and medically relevant bacteria groups By Becky Ham Identifying species among plants and animals has been a full-time occupation for some biologists, but the task is even more daunting for the myriad microbes that inhabit the planet. Now, MIT researchers have

Does cable news shape your views?

>>MIT study finds partisan news coverage has a bigger impact on viewers without strong media preferences By Peter Dizikes It’s a classic question in contemporary politics: Does partisan news media coverage shape people’s ideologies? Or do people decide to consume political media that is already

Microfluidics device helps diagnose sepsis in minutes

>>When time matters in hospitals, automated system can detect an early biomarker for the potentially life-threatening condition By Rob Matheson A novel sensor designed by MIT researchers could dramatically accelerate the process of diagnosing sepsis, a leading cause of death in U.S. hospitals that kills

Drag-and-drop data analytics

>>System lets nonspecialists use machine-learning models to make predictions for medical research, sales, and more By Rob Matheson In the Iron Man movies, Tony Stark uses a holographic computer to project 3-D data into thin air, manipulate them with his hands, and findfixes to his superhero troubles. In the same vein, researchers from MIT and Brown University have now developed a system for interactive data analytics thatruns on touchscreens and lets everyone — not just billionaire tech geniuses

Tiny motor can “walk” to carry out tasks

>>Mobile motor could pave the way for robots to assemble complex structures — including other robots By David Chandler Years ago, MIT Professor Neil Gershenfeld had an audacious thought. Struck by the fact that all the world’s living things are built out of combinations of

Spotting objects amid clutter

>>New approach quickly finds hidden objects in dense point clouds, for use in driverless cars or work spaces with robotic assistants By Jennifer Chu A new MIT-developed technique enables robots to quickly identify objects hidden in a three-dimensional cloud of data, reminiscent of how some