AeroVelo’s human-powered helicopter bags $250,000 Sikorsky Prize

DNP humanpowered helicopter wins elusive aviation prize

We’re sure AeroVelo team members think every sleepless night and pedal push are worth it now that they can add the prestigious $250,000 Sikorsky Prize to their pile of bragging rights. They’ve completely demolished all the requirements needed to win the human-powered helicopter competition during one of their recent attempts. Atlas, their flying contraption, stayed in the air for 64.11 seconds, flew at a max altitude of 3.3 meters (10.8 feet) and never meandered beyond the designated 10 x 10 meter (33 x 33 feet) area. The University of Toronto’s creation was locked in head-to-head battle with the University of Maryland’s Gamera chopper for quite some time, but it’s finally bagged the prize that had remained unclaimed for 33 long years. That’s a tremendous accomplishment for anyone, especially for a project with humble beginnings, and if Leonardo Da Vinci were still alive, he’d extend a big congratulazione.

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Via: Popular Mechanics

Source: AeroVelo

University of Toronto student tech shoots HDR video in real-time (eyes-on)

University of Toronto student shoots video in HDR in realtime eyeson

Sure, you love the HDR pictures coming from your point-and-shoot, smartphone or perhaps even your Glass. But what if you want to Hangout in HDR? An enterprising grad student from the University of Toronto named Tao Ai — under the tutelage of Steve Mann — has figured out how to shoot HDR video in real-time. The trick was accomplished using a Canon 60D DSLR running Magic Lantern firmware and an off-the-shelf video processing board with a field programmable gate array (FPGA), plus some custom software to process the video coming from the camera. It works by taking in a raw feed of alternatively under and over exposed video and storing it in a buffer, then processing the video on its way to a screen. What results is the virtually latency-free 480p resolution HDR video at 60 frames per second seen in our video after the break.

When we asked whether higher resolution and faster frame rate output is possible, we were told that the current limitations are the speed of the imaging chip on the board and the bandwidth of the memory buffer. The setup we saw utilized a relatively cheap $200 Digilent board with a Xilinx chip, but a 1080p version is in the works using a more expensive board and DDR3 memory. Of course, the current system is for research purposes only, but the technology can be applied in consumer devices — as long as they have an FPGA and offer open source firmware. So, should the OEM’s get with the program, we can have HDR moving pictures to go with our stationary ones.

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Google acquires neural network startup that may help it hone speech recognition and more

Google acquires neural network startup that may help it hone speech recognition and more

Mountain View has just picked up some experts on deep neural networks with their acquisition of DNNresearch, which was founded last year by University of Toronto professor Geoffrey Hinton and graduate students Alex Krizhevsky and Ilya Sutskever. The group is being brought into the fold after developing a solution that vastly improves object recognition. As a whole, advances in neural nets could lead to the development of improved computer vision, language understanding and speech recognition systems. We reckon that Page and Co. have a few projects in mind that would benefit from such things. Both students will be transitioning to Google, while Hinton will split his attention between teaching and working with the search giant.

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Via: TechCrunch

Source: University of Toronto

Autodesk researchers develop ‘magic finger’ that reads gestures from any surface (video)

DNP Autodesk magic finger

By combining a camera that detects surfaces with one that perceives motion, Canadian university researchers and Autodesk have made a sensor that reads finger gestures based on which part of your body you swipe. The first camera can detect pre-programmed materials like clothing, which would allow finger movements made across your pants or or shirt to activate commands that call specific people or compose an email, for instance. Autodesk sees this type of input as a possible compliment to smartphones or Google Glasses (which lack a useful input device), though it says the motion detection camera isn’t accurate enough yet to replace a mouse. Anyway, if you wanted that kind of device for your digits, it already existsin spades.

Continue reading Autodesk researchers develop ‘magic finger’ that reads gestures from any surface (video)

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Autodesk researchers develop ‘magic finger’ that reads gestures from any surface (video) originally appeared on Engadget on Mon, 22 Oct 2012 08:49:00 EDT. Please see our terms for use of feeds.

Permalink Tom’s Hardware  |  sourceAutodesk  | Email this | Comments

Alt-week 9.22.12: Quantum Scotch tape, moving walls and scientific beer

Alt-week peels back the covers on some of the more curious sci-tech stories from the last seven days.

Altweek 92212 Quantum Scotch tape, moving walls and scientific beer

Sometimes, here at alt.engadget.com, we’re literally on the bleeding edge of technology. We get to explore concepts and ideas that are almost nebular in nature. Not this week though, where there’s a distinct utilitarian aroma in the air. The glittery overcoat of future science is replaced by the rolled-up sleeves of good old-fashioned engineering. A bit of sticky tape, a proof of concept omnidirectional bike and a hardware matrix wall. After all that, you’ll probably want a beer to wash it down with. Fortunately for you, it’s all here. This is alt-week.

Continue reading Alt-week 9.22.12: Quantum Scotch tape, moving walls and scientific beer

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Alt-week 9.22.12: Quantum Scotch tape, moving walls and scientific beer originally appeared on Engadget on Sat, 22 Sep 2012 17:00:00 EDT. Please see our terms for use of feeds.

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Researchers create record-breaking solar cell, set bar marginally higher

Researchers create record-breaking solar cell, set bar marginally higher

Solar cell development is typically a small numbers game, and a group of researchers at the University of Toronto have managed to eke out a few more percentage points in efficiency with a new record-breaking cell. Setting a high mark for this type of cell, the team’s Colloidal Quantum Dot (CQD) film harvests both visible and non-visible light at seven percent efficiency, a 37 percent increase over the previous record. The breakthrough was achieved by leveraging organic and inorganic chemistry to make sure it had fewer nooks and crannies that don’t absorb light. With the advantages of relatively speedy and cheap manufacturing, the technology could help lead the way for mass production of solar cells on flexible substrates. In the meantime, check out the source for the scientific lowdown.

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Researchers create record-breaking solar cell, set bar marginally higher originally appeared on Engadget on Sun, 05 Aug 2012 03:23:00 EDT. Please see our terms for use of feeds.

Permalink IEEE Spectrum  |  sourceUniversity of Toronto  | Email this | Comments