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Scientists have translated the structure of a web into music

Scientists in the US have brought the structure of a spider web to life by translating it into music – a technique that could help us communicate with spiders, they say. They assigned different frequencies of sound to strands of the web, creating notes that they combined in patterns, based on the web s 3D structure, to generate melodies.  The eerie piece of music, which lasts just over a minute, sounds like the soundtrack for an eerie dystopian sci-fi horror film. It was created by researchers at Massachusetts Institute of Technology (MIT) with  laser scanning technology and image processing tools.  The experts say spider webs could provide a new source for musical inspiration and provide a form of cross-species communication.

School of Engineering welcomes new faculty

Caption: First row, left to right: Navid Azizan, Rodrigo Freitas, Marzyeh Ghassemi, Dylan Hadfield-Menell, Jack Hare. Second row, left to right: Samuel Hopkins, Michael Howland, Yoon Kim, Adrian Lozano-Duran, Kelly Metcalf Pate. Third row, left to right: Anand Natarajan, Jelena Notaros, Carlos Portela, Ashia Wilson, Sixian You. Previous image Next image The School of Engineering is welcoming 15 new faculty members to its departments, institutes, labs, and centers. With research and teaching activities ranging from the development of robotics and AI technologies to the modeling and optimization of renewable energy systems, they are poised to make significant contributions in new directions across the school and to a wide range of research efforts around the Institute.

Retrofitting MIT s deep learning boot camp for the virtual world – India Education,Education News India,Education News

Retrofitting MIT s deep learning boot camp for the virtual world – India Education,Education News India,Education News
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Retrofitting MIT s deep learning boot camp for the virtual world | MIT News | Massachusetts Institute of Technology

Caption: Graduate students Ava Soleimany (left) and Alexander Amini moved their popular IAP course on deep learning online this year, but still managed to work in some surprises. The course enrolled a record 550 students this year, and featured 50 final projects covering deep learning applications in nearly every discipline represented at MIT. Credits: Photo: Ashley Amini-Sami Caption: For the pandemic edition of 6.S191, Amini and Soleimany pre-recorded their lectures in their kitchen, and staged them to look as if they were being delivered live from Stata. Credits: Photo: Alexander Amini Caption: Four students won prizes for their final class projects. They are (clockwise from top left): Nelson Hidalgo, Peter McHale, Nada Tarkhan, and Savva Morozov.

The AI Research Paper Was Real The Coauthor Wasn t

To revist this article, visit My Profile, then View saved stories. David Cox, the co-director of a prestigious artificial intelligence lab in Cambridge, Massachusetts, was scanning an online computer science bibliography in December when he noticed something odd—his name listed as an author alongside three researchers in China whom he didn’t know on two papers he didn’t recognize. At first, he didn’t think much of it. The name Cox isn’t uncommon, so he figured there must be another David Cox doing AI research. “Then I opened up the PDF and saw my own picture looking back at me,” Cox says. “It was unbelievable.”

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