KnuEdge looking for speakers for heterogeneous neural networks event

December 15, 2016 - 

As part of its effort to advance neural computing innovation and transform human-machine interaction, KnuEdge has opened a call for papers to be presented at its heterogeneous neural networks (HNN) workshop in April 2017. The event is expected to grow into a series, and is presented in partnership with the California Institute for Telecommunications and Information Technology (Calit2) at UC San Diego.

KnuEdge is looking for academic papers on the benefits of sparse networks in theory and practice from fields such as computer science, cognitive science, neuroscience, and biophysics. The deadline for submissions is January 31, and accepted speakers will be notified in early February.

The company suggests pattern recognition applications topics, such as facial recognition, voice and language processing, handwriting processing and identification, and text string pattern search and identification. Other suggested topics include machine learning processes like recurrent models, Bayesian models, and information-theoretic models, as well as neural network architecture topics like self-organizing models, cognitive networks, and meta-learning algorithms.

The workshop will be held April 26 to 28, 2017, at UC San Diego [https://www.knuedge.com/about-us/events/hnnworkshop/]. Submissions should be sent to events@knuedge.com with the subject “HNN Workshop Abstract Submission.” Details on suggested topics and registration information are available on the website.

KnuEdge’s neural technology underpins the products of its biometric unit KnuVerse, which also held a hackathon in July to explore the integration of voice technology in different types of applications.

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About Chris Burt

Chris Burt is a writer and contributor to Biometric Update. He has also written nonfiction about information technology, dramatic arts, sports culture, and fantasy basketball, as well as fiction about a doomed astronaut. He lives in Toronto. You can follow him on Twitter @AFakeChrisBurt."