Tag Archives: MIT

Can technology deliver sustainability?

by Michael Irving, New Atlas

Over time, technological progress results in products that use less energy, are more compact and use up fewer raw materials. Does this add up to enough resource savings to make life on Earth more sustainable? A new study from MIT has examined modern technology through the lens of a 150-year-old economic theory of efficiency and resource consumption – and in almost all cases, the benefits of reducing required resources is cancelled out by the increase in consumer demand for them.

Continue reading Can technology deliver sustainability?

Scientists create 3D-printed objects that can change shape after they’re printed

by John Biggs, TechCrunch

3D printed plastics tend to remain pretty stable over time. For example, your 3D-printed Yoda won’t turn into a Chewbacca head without some severe plastic trauma… until now. Scientists at MIT have created a 3D printing technique that allows you to change the polymers in an object after printing. This means you can grow or shrink and object, change its color, and even change its shape completely. Continue reading Scientists create 3D-printed objects that can change shape after they’re printed

MIT creates 3D printed graphene that’s lighter than air, 10X stronger than steel

by Lucas Mearian, Computerworld

The research also disproved that 3D graphene could replace helium in balloons

MIT researchers have been able to use graphene to print 3D objects with a geometry that has 10 times the strength of steel but only a fraction of the weight.

The discovery using the strongest material there is has the potential to enable lightweight products for airplanes, cars, buildings and even filtration devices because of the printed objects’ porous designs. Continue reading MIT creates 3D printed graphene that’s lighter than air, 10X stronger than steel

MIT’s AI figured out how humans recognize faces

by Cherlynn Low, Engadget

The system came up with the technique by itself, after being trained on a battery of sample images

It appears machines may already be catching up to humans, at least in the world of computational biology. A team of researchers at the MIT-based Center for Brains, Minds and Machines (CBMM) found that the system they designed to recognize faces had spontaneously come up with a step that can identify portraits regardless of the rotation of the face. This adds credence to a previous theory about how humans recognize faces that was based studies of MRIs of primate brains.

Continue reading MIT’s AI figured out how humans recognize faces

Artificial-intelligence system surfs web to improve its performance

by Larry Hardesty, PHYS.ORG

Of the vast wealth of information unlocked by the Internet, most is plain text. The data necessary to answer myriad questions—about, say, the correlations between the industrial use of certain chemicals and incidents of disease, or between patterns of news coverage and voter-poll results—may all be online. But extracting it from plain text and organizing it for quantitative analysis may be prohibitively time consuming.

Information extraction—or automatically classifying data items stored as plain text—is thus a major topic of artificial-intelligence research. Last week, at the Association for Computational Linguistics’ Conference on Empirical Methods on Natural Language Processing, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory won a best-paper award for a new approach to information extraction that turns conventional machine learning on its head. Continue reading Artificial-intelligence system surfs web to improve its performance

MIT makes Neural Nets show their work

by Andrew Tarantola, Engadget

Computers can now provide both results and their reasoning behind them.

Turns out, the inner workings of neural networks really aren’t any easier to understand than those of the human brain. But thanks to research coming out of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), that could soon change. Continue reading MIT makes Neural Nets show their work

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