Alan Edelman recognized with 2019 IEEE Computer Society Sidney Fernbach Award
Edelman's Julia programming language was recognized for solving large computational problems for high-performance computers.
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!["In my view," says MIT Professor Elizabeth Wood, "the core motivation behind [election] interference is Russia's two-fold belief a) that the most important goal of the Russian state is world power status and b) that such status cannot be achieved without recourse to espionage and manipulation."](/sites/default/files/styles/search_result_item/public/images/201910/MIT-SHASS-elizabeth-wood.jpg?itok=kBDGaMd8)
3 Questions: Historian Elizabeth Wood on election interference
How do we understand Russia’s multi-layered interference in the 2016 elections? A Russia expert and professor of history analyzes Russia’s motives.
Giving robots a faster grasp
An algorithm speeds up the planning process robots use to adjust their grip on objects, for picking and sorting, or tool use.
MIT alumna addresses the world’s mounting plastic waste problem
Renewlogy’s system is converting plastic waste from cities and rivers into fuel.
Funding for sustainable concrete cemented for five more years
The MIT Concrete Sustainability Hub will continue to study the environmental impacts of concrete and the hazard resilience of the built environment.
This is how a “fuzzy” universe may have looked
Scientists simulate early galaxy formation in a universe of dark matter that is ultralight, or “fuzzy,” rather than cold or warm.
An interdisciplinary approach to accelerating human-machine collaboration
Professor’s startup brings millimeter-scale location tracking to factories, ports, and other industrial environments.
MIT Solve selects 2019 cohort of tech entrepreneurs
At Solve Challenge Finals in New York, judges selected 32 innovators, and Solve announces $1.5 million in prize funding.
HubWeek 2019 celebrates five years of connecting MIT, Boston, and the world
Greater Boston’s annual festival of ideas finds new avenues for celebrating and connecting innovators.
Lincoln Laboratory's new artificial intelligence supercomputer is the most powerful at a university
TX-GAIA is tailor-made for crunching through deep neural network operations.
Rethinking orientation for new grad students
Recent improvements aim to ease the transition to life at MIT, from day one and beyond.
Meet Carolyn Stein: Researching the economics of science
MIT PhD student explores the impact of scientists being "scooped" when a competing research team publishes results first, a concern for many disciplines.
Computing and the search for new planets
MIT planetary scientists partner with computer scientists to find exoplanets.
3 Questions: Why sensing, why now, what next?
Brian Anthony, co-leader of SENSE.nano, discusses sensing for augmented and virtual reality and for advanced manufacturing.
Uncovering the hidden “noise” that can kill qubits
New detection tool could be used to make quantum computers robust against unwanted environmental disturbances.