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Honda, ATR and Shimadzu Jointly Develop Brain-Machine Interface Technology Enabling Control of a Robot by Human Thought Alone...
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           News of Computer Science and Technology
Computer learns to recognize sounds by watching video
In recent years, computers have gotten remarkably good at recognizing speech and images: Think of the dictation software on most cellphones, or the algorithms that automatically identify people in photos posted to Facebook. But recognition of natural sounds has lagged behind. That's because most automated recognition systems, whether they process audio or visual information, are the result of machine learning, in which computers search for patterns in huge compendia of training data, say investigators.
Suggestions for you: A better, faster recommendation algorithm
The internet is rife with recommendation systems, suggesting movies you should watch or people you should date. These systems are tuned to match people with items, based on the assumption that similar people buy similar things and have similar preferences. In other words, an algorithm predicts which items you will like based only on your, and the item's, previous ratings. Now researchers have unveiled a more accurate, efficient algorithm for internet recommendations.
Researchers take first look into the 'eye' of majoranas
Majorana fermions are particles that could potentially be used as information units for a quantum computer. An experiment has confirmed their theory that Majorana fermions can be generated and measured on a superconductor at the end of wires made from single iron atoms. The researchers also succeeded in observing the wave properties of Majoranas and, therefore, in making the interior of a Majorana visible for the first time.
What makes Bach sound like Bach? New dataset teaches algorithms classical music
MusicNet is the first publicly available large-scale classical music dataset designed to allow machine learning algorithms to tackle a wide range of open challenges -- from automated music transcription to listening recommendations based on the structure of music itself.

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