TBIRD technology could help image black holes’ photon rings
The Lincoln Laboratory-developed laser communications payload operates at the data rates required to image these never-before-seen thin halos of light.
The Lincoln Laboratory-developed laser communications payload operates at the data rates required to image these never-before-seen thin halos of light.
New work suggests the ability to create fractionalized electrons known as non-Abelian anyons without a magnetic field, opening new possibilities for basic research and future applications.
Aboard NASA’s Orion spacecraft, the terminal will beam data over laser links during the first crewed lunar mission since 1972.
By emulating a magnetic field on a superconducting quantum computer, researchers can probe complex properties of materials.
MIT Kavli Institute scientists and collaborators will produce a concept study to launch a $1B experiment to investigate the X-ray universe.
Two faculty, a graduate student, and 10 additional alumni receive top awards and prizes; four faculty, one senior researcher, and seven alumni named APS Fellows.
A research scientist and internationally recognized authority in the field of blood cell development reflects on 45 years at MIT.
MIT and Lincoln Laboratory are among awardees of $38 million in project awards to the Northeast Microelectronics Coalition to boost U.S. chip technology innovation.
New dataset of “illusory” faces reveals differences between human and algorithmic face detection, links to animal face recognition, and a formula predicting where people most often perceive faces.
A new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.
The innovations map the ocean floor and the brain, prevent heat stroke and cognitive injury, expand AI processing and quantum system capabilities, and introduce new fabrication approaches.
The interlocking bricks, which can be repurposed many times over, can withstand similar pressures as their concrete counterparts.
MIT students who participated in the pilot program developed tools to rapidly screen for novel biosynthetic capabilities.
The software tool NeuroTrALE is designed to quickly and efficiently process large amounts of brain imaging data semi-automatically.
A new algorithm helps robots practice skills like sweeping and placing objects, potentially helping them improve at important tasks in houses, hospitals, and factories.