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CALL FOR PAPERS

The inaugural INNS Big Data 2015 conference
August 8-10, 2015, San Francisco, USA

Homepage: http://www.innsbigdata.org
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IMPORTANT
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NEW Papers Submission Deadline - April 19th, 2015
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AWARDS
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* Student Travel Awards
We have several student travel grants available in the range of $300 to $500. Applications will be due by April 30. More information, including the application form, will be available on our website soon. If you are interested, you can contact: Shigang Yue (syue@lincoln.ac.uk) or Liang Zhao (zhao@usp.br).

* The Elsevier USD $2,000 Big Data Best Paper Award
This award of a plaque and a $2000 honorarium will recognize the best paper presented at the INNS Big Data conference. Both application and theoretical papers will be considered. It will be awarded by the Big Data Analytics Section of the International Neural Network Society and is sponsored by Elsevier.
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Plenary Speakers
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* Brian McCarson, Senior Principal Engineer, Intel IoT Platform

* Fen Zhao, Staff Associate at the office of the Assistant Director for Computer & Information Science & Engineering, National Science Foundation

* Bin Yu, Chancellor’s Professor, University of California , Berkeley

* Raghu Ramakrishnan, Head of Cloud and Information Services Lab (CISL) and big data team, Microsoft

* Brenda Dietrich, IBM Fellow and VP, Leads the Emerging Technologies Team for IBM Watson, IBM

* Juergen Schmidhuber, Scientific Director, IDSIA
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Tutorials
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* Deep Learning - Profs. Juergen Schmidhuber (University of Lugano, and the Swiss AI Lab IDSIA) and Dong Yu (Microsoft Research)

* Platforms and Algorithms for Big Data Analytics - Prof. Chandan K. Reddy (Wayne State University)

* Online Learning for Big Data Analytics - Prof. Irwin King (Chinese University of Hong Kong)

* Introduction to How Brain Deals with Big Data - Juyang Weng (Michigan State University)

* Big Data Analytics, Machine Learning Cognitive Algorithms and the Mind - Prof. Leonid I. Perlovsky (Northeastern University)

* A Perspective on Emerging Neuromemristive Hardware Architecture - Profs. Manan Suri (IIT - Delhi) and Dhireesha Kudithipudi (RIT)

* Spiking Neural Networks and Neuromorphic Spatio-Temporal Data Machines - Prof. Nikola Kasabov (Auckland University of Technology)

* Neural Networks and Wearable Devices - Prof. Danilo P. Mandi (Imperial College)
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Workshops
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* Deep Learning - Profs. Juergen Schmidhuber and Dong Yu

* Neuromorphic Spatio-Temporal Big Data Machines - Prof. Nikola Kasabov

* Neural networks and wearable devices - Prof. Danilo Mandic

* Big Data and Power Systems - Profs. Dejan Sobajic and Kumar Venayagamoorthy

* Crowd Behaviour and Big Data - Profs. Chrisina Jayne and Mehmed Kantardzic

* Automatic Machine Learning - Prof. Isabelle Guyon
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The Deep Learning Workshop
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* This workshop is chaired by Profs. Juergen Schmidhuber and Dong Yu, will be in the format of invited talks and panel discussions. In addition to Schmidhuber and Yu, speakers will include:

1. Jitendra Malik, Univ. Berkeley (computer vision pioneer): Scene Understanding in the Era of Deep Learning.

2. Ilya Sutskever, Google (e.g., state-of-the-art machine translation with LSTM RNNs).

3. Oriol Vinyals, Google (e.g., state-of-the-art large vocabulary speech recognition and image caption generation with LSTM RNNs).

4. Risto Miikkulainen, Univ. of Texas, Austin: Deep RL through Neuroevolution.

5. Awni Hannun, Baidu (state-of-the-art end-to-end speech recognition with RNNs).

6. Pierre Baldi: Deep RNNs in chemistry and biology.


* Workshop Registration

We have received requests to attend this workshop from a broad audience. We are therefore offering a separate registration for this workshop to be held on the afternoon of August 8, Saturday. The special registration fee for this workshop will be $200. Student registration fee will be $100. Participation is limited, and priority will go to regular conference attendees, after which attendance will be on a first come, first served basis. So register early, and let your colleagues and students know about this!
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The aim of the INNS BigData conference is to promote new advances and research directions in efficient and innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and brain-inspired algorithms), implementations on different computing platforms (e.g. neuromorphic, GPUs, clouds, clusters) and applications of Big Data Analytics to solve real-world problems (e.g. weather prediction, transportation, energy management).

Please refer to our website for a more detailed list of [dates, topics, special sessions, tutorials, workshops], plus information on [deadlines, reservations, hotels, etc].

General Chairs
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* Plamen Angelov, Lancaster University, UK

* Asim Roy, Arizona State University, Tempe, USA
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SPONSORS
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* International Neural Network Society (INNS)

* Elsevier

* United Technologies Research Center

* Artificial Intelligence Journal - An International Journal
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