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Category: robotics/AI – Page 2,279

MIT Cryptographers Are No Match For A Determined Belgian

Twenty years ago, a cryptographic puzzle was included in the construction of a building on the MIT campus. The structure that houses what is now MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) includes a time capsule designed by the building’s architect, [Frank Gehry]. It contains artifacts related to the history of computing, and was meant to be opened whenever someone solved a cryptographic puzzle, or after 35 years had elapsed.

The puzzle was not expected to be solved early, but [Bernard Fabrot], a developer in Belgium, has managed it using not a supercomputer but a run-of-the-mill Intel i7 processor. The capsule will be opened later in May.

The famous cryptographer, [Ronald Rivest], put together what we now know is a deceptively simple challenge. It involves a successive squaring operation, and since it is inherently sequential there is no possibility of using parallel computing techniques to take any shortcuts. [Fabrot] used the GNU Multiple Precision Arithmetic Library in his code, and took over 3 years of computing time to solve it. Meanwhile another team is using an FPGA and are expecting a solution in months, though have been pipped to the post by the Belgian.

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Algorithms help spot cancer ‘lottery winners’ in new Fred Hutch study

For most patients, a diagnosis of stage 4 non-small cell lung cancer comes with a dire prognosis. But for patients with specific mutations that cause the disease, there are potentially life-saving therapies.

The problem is that these mutations, known as ALK and EGFR, are not always identified in patients — meaning they never get the treatment.

A new study from the Fred Hutchinson Cancer Research Center in Seattle used machine learning to find these needle-in-a-haystack patients. The idea was to leverage cancer databases to see if patients were being tested for the mutations and receiving these personalized treatments.

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Dataset bridges human vision and machine learning

Neuroscience, computer vision collaborate to better understand visual information processing PITTSBURGH—Neuroscientists and computer vision scientists say a new dataset of unprecedented size — comprising brain scans of four volunteers who each viewed 5,000 images — will help researchers better understand how the brain processes images. Researchers at Carnegie Mellon University and Fordham University, reporting today in the journal Scientific Data, said acquiring functional magnetic resonance imaging (fMRI) scans at this scale presented unique challenges. Each volunteer participated in 20 or more hours of MRI scanning, challenging both their perseverance and the experimenters’ ability to coordinate across scanning sessions. The extreme.


NASA and Star Wars: The Connections Are Strong in This One

#StarWarsDay #StarWars #StarWarsCelebration #NASA #MayThe4thBeWithYou

Space Screening, ‘TIE’-ins, Tatooine and The Droids You’re Looking For

NASA astronauts “use the force” every time they launch … from a certain point of view. We have real-world droids and ion engines. We’ve seen dual-sun planets like Tatooine and a moon that eerily resembles the Death Star. And with all the excitement around the premiere of Star Wars: The Force Awakens, the Force will soon be felt 250 miles above Earth on the International Space Station. Disney is sending up the new film so the astronauts can watch in orbit, and the station’s commander, Scott Kelly, can hardly wait:

If you’re looking to be a “sky walker” yourself someday, NASA is now taking astronaut applications and we’re offering a list of Star Wars-related reasons you should apply. Recently returned station astronaut Kjell Lindgren is such a fan that he posed with his station crewmates in a Jedi-themed mission poster and talked to StarWars.com about it. Shortly before leaving the station, Lindgren tweeted about the uncanny resemblance of the station’s cupola to the cockpit of an Imperial TIE Fighter:

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