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advanced computing


College of Engineering and the State University of New York Polytechnic Institute.

The two are developing a computing system that mimics the nervous system to design a chip that would allow computers to operate at an even faster rate and calculate more complicated processing than simple binary-based computing.

It is known as a memristor-based dynamic neural network array, dubbed mrDANNA.

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mezzacappa_tonyTony Mezzacappa, director of the Joint Institute for Computational Sciences(JICS), is continuing campus-wide colloquia at UT this semester to share how anyone who relies on computing for research can benefit from the resources and expertise JICS has to offer.

Previous conferences have taken place in eleven different departments from across the College of Arts and Sciences, the College of Engineering, the College of Communication and Information, and the Haslam College of Businesssince last spring.

So far this semester at least three talks are planned, with six others confirmed for scheduling. A video recording of the first colloquium can be viewed on the Department of Nuclear Engineering website.
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