news    views    talk    learn    |    about    contribute     republish     crowdfunding     archives     events

MIT

by   -   January 24, 2017
A new system called Data Civilizer automatically finds connections among many different data tables and allows users to perform database-style queries across all of them. The results of the queries can then be saved as new, orderly data sets that may draw information from dozens or even thousands of different tables.
A new system called Data Civilizer automatically finds connections among many different data tables and allows users to perform database-style queries across all of them. The results of the queries can then be saved as new, orderly data sets that may draw information from dozens or even thousands of different tables.

The age of big data has seen a host of new techniques for analyzing large data sets. But before any of those techniques can be applied, the target data has to be aggregated, organized, and cleaned up.

That turns out to be a shockingly time-consuming task. In a 2016 survey, 80 data scientists told the company CrowdFlower that, on average, they spent 80 percent of their time collecting and organizing data and only 20 percent analyzing it.

by   -   January 20, 2017

MIT Professor Daniela Rus is researching SMART automation and for the future of urban mobility.

by   -   December 5, 2016
PhD student Tao Du watching the bunnycopter take off . Image credit: Jason Dorfman, MIT CSAIL
PhD student Tao Du watching the bunnycopter take off . Image credit: Jason Dorfman, MIT CSAIL

This fall’s new FAA regulations have made drone flight easier than ever for both companies and consumers. But what if the drones out on the market aren’t exactly what you want?

A new system from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) is the first to allow users to design, simulate and build their own custom drone. Users can change the size, shape and structure of their drone based on the specific needs they have for payload, cost, flight time, battery usage and other factors.

by   -   December 1, 2016
Tomaso Poggio, a professor of brain and cognitive sciences at MIT and director of the Center for Brains, Minds, and Machines, has long thought that the brain must produce “invariant” representations of faces and other objects, meaning representations that are indifferent to objects’ orientation in space, their distance from the viewer, or their location in the visual field. Image Credit: Massachusetts Institute of Technology
Image: Massachusetts Institute of Technology

MIT researchers and their colleagues have developed a new computational model of the human brain’s face-recognition mechanism that seems to capture aspects of human neurology that previous models have missed.

by   -   October 18, 2016

Longtime professor and beloved advisor was known for advances in experimental and theoretical studies of vision, perception, and cognition.

by   -   September 20, 2016

MIT, AMS Institute will collaborate to solve complex urban problems for Amsterdam with the development of autonomous “roboats.”

by   -   May 17, 2016
Lockheed Martin CTO Keoki Jackson '89, SM '92, ScD '97 (center, left) and MIT AeroAstro department head Jaime Peraire congratulate each other after signing a research collaboration agreement between the two organizations. Initial research will focus on robotics and autonomous systems. Photo: William Litant/MIT AeroAstro
Lockheed Martin CTO Keoki Jackson ’89, SM ’92, ScD ’97 (center, left) and MIT AeroAstro department head Jaime Peraire congratulate each other after signing a research collaboration agreement between the two organizations. Initial research will focus on robotics and autonomous systems.
Photo: William Litant/MIT AeroAstro

In a new collaborative initiative in autonomy and robotics, MIT and Lockheed Martin scientists will focus on innovations needed to enable generation-after-next autonomous systems. Improvements in human/machine teaming and navigation in complex environments are among the research challenges that Lockheed Martin is inviting MIT faculty and their students to help solve.

by   -   April 28, 2016

Team will program NASA’s “Valkyrie” for tasks aimed at future space missions.

by   -   April 1, 2016

System from MIT’s Computer Science and Artificial Intelligence Lab enables single WiFi access point that can locate users within tens of centimeters.

by   -   February 18, 2016

At the annual meeting of the Association for the Advancement of Artificial Intelligence last weekend, researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) presented a new way of modeling robot collaboration that reduces the need for communication by 60 percent. They believe that their model could make it easier to design systems that enable humans and robots to work together — in, for example, emergency-response teams.

by   -   January 19, 2016

Getting drones to fly around without hitting things is no small task. Obstacle-detection and motion-planning are two of computer science’s trickiest challenges because of the complexity involved in creating real-time flight plans that avoid obstacles and handle surprises like wind and weather. In a pair of projects announced this week, CSAIL researchers demonstrated software that allow drones to stop on a dime to make hairpin movements over, under, and around some 26 distinct obstacles in a simulated “forest.”

by   -   December 16, 2015

Coming to life in the 1970s with then-instructor Professor Emeritus Woodie Flowers at the lead, 2.007 was at the forefront of a revolution in engineering education, becoming one of the first hands-on classes to teach students not only how to design an object but also how to build it. Today, it’s a fun celebration of making that ends in an annual head-to-head robot competition on MechE’s Innovation Day in May.

by   -   December 15, 2015

Last Friday, MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) hosted 150 local high school students for its second annual “Hour of Code” event, tied to the international initiative focused on getting kids interested in programming.

by   -   November 18, 2015

NASA announced today that MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) is one of two university research groups nationwide that will receive a 6-foot, 290-pound humanoid robot to test and develop for future space missions to Mars and beyond.

by   -   November 17, 2015

MIT researchers have developed a new algorithm that vastly reduces the computation of virtually any computational model.





M-Blocks
September 5, 2014


Are you planning to crowdfund your robot startup?

Need help spreading the word?

Join the Robohub crowdfunding page and increase the visibility of your campaign