<html><head><meta http-equiv="Content-Type" content="text/html charset=us-ascii"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; "><p class="MsoNormal" style="line-height: 18.200000762939453px; text-align: left; margin-bottom: 0.0001pt; "><span style="line-height: normal; text-align: -webkit-auto; font-size: 15px; "><font face="Arial">*** Apologies for cross posting ***</font></span></p><div><br></div><p class="MsoNormal" style="text-align: left; margin-bottom: 0.0001pt; "><strong><font face="Arial, sans-serif"><font size="5"><span style="line-height: 17px; white-space: pre-wrap; ">ESANN 2014 Special Session - "Byte the bullet: learning on real-world computing architectures</span><span style="line-height: 17px; white-space: pre-wrap; ">" - CALL FOR PAPERS</span></font><span style="font-size: 11.5pt; line-height: 17px; white-space: pre-wrap; "> </span></font></strong></p><p class="MsoNormal" style="text-align: left; margin-bottom: 0.0001pt; "><font face="Arial, sans-serif"><span style="font-size: 15px; line-height: 17px; white-space: pre-wrap; "><b>-- DEADLINE FOR PAPER SUBMISSION POSTPONED TO 6 DECEMBER 2013 --</b></span></font></p><p class="MsoNormal" style="text-align: left; margin-bottom: 0.0001pt; "><br><span style="font-family: Arial, sans-serif; font-size: 11.5pt; line-height: 17px; "><span style="white-space: pre-wrap; ">European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2014). 23-25 April 2014, Bruges, Belgium - <a href="http://www.esann.org/" style="outline: none; text-decoration: none; color: rgb(12, 89, 141); ">http://www.esann.org</a></span></span><span style="font-family: Verdana; font-size: 13.5pt; line-height: 20px; "><br><br></span></p><hr style="border-style: double none none; border-top-width: 3px; border-top-color: rgb(153, 153, 153); margin: 15px 0px; font-family: Verdana; font-size: 14px; line-height: 18.200000762939453px; text-align: left; "><p class="MsoNormal" style="text-align: left; margin-bottom: 0.0001pt; "><font face="Arial, sans-serif"><span style="font-size: 11.5pt; line-height: 17px; white-space: pre-wrap; ">Submissions are invited for next year ESANN Special Session "</span><span style="font-size: 15px; line-height: 17px; white-space: pre-wrap; ">Byte the bullet: learning on real-world computing architectures</span><span style="font-size: 11.5pt; line-height: 17px; white-space: pre-wrap; ">". </span></font></p><div><br></div><div><font face="Arial" style="font-size: 15px; "><i>Organizers</i>: </font></div><div><font face="Arial"><span style="font-size: 15px; ">Davide Anguita, Alessandro Ghio, Luca Oneto</span></font></div><div><font face="Arial"><span style="font-size: 15px; ">University of Genoa (Italy)</span></font></div><div><font face="Arial"><span style="font-size: 15px; "><br></span></font></div><p class="MsoNormal" style="line-height: 18.200000762939453px; text-align: left; margin-bottom: 0.0001pt; "><span style="font-size: 11.5pt; font-family: Arial, sans-serif; line-height: 17px; ">ESANN 2014 Special Session </span><span style="font-size: 11.5pt; font-family: Arial, sans-serif; line-height: 17px; white-space: pre-wrap; ">"</span><span style="font-size: 15px; font-family: Arial, sans-serif; line-height: 17px; white-space: pre-wrap; ">Byte the bullet: learning on real-world computing architectures</span><span style="font-size: 11.5pt; font-family: Arial, sans-serif; line-height: 17px; white-space: pre-wrap; ">" webpage: </span><a href="http://btb.smartlab.ws/"><font face="Arial" style="font-size: 15px; ">http://btb.smartlab.ws</font></a></p><div style="line-height: 18.200000762939453px; text-align: left; margin-bottom: 0.0001pt; "><br class="webkit-block-placeholder"></div><div style="font-size: 14px; font-family: Verdana; line-height: 18.200000762939453px; margin-bottom: 0.0001pt; "><br class="webkit-block-placeholder"></div><p class="MsoNormal" style="line-height: 18.200000762939453px; margin-bottom: 0.0001pt; "><strong><span style="white-space: pre-wrap; "><span style="font-size: 11.5pt; line-height: 17px; font-family: Arial, sans-serif; ">TOPICS</span></span></strong></p><p class="MsoNormal" style="margin-bottom: 0.0001pt; "><span style="line-height: 17px; white-space: pre-wrap; "><font face="Arial" size="4">In this special session, we would like to encourage submissions related to the development and the application of fast, effective, reliable techniques, which consider possibilities, potentialities and constraints of real-world computing architectures as basic cornerstones and motivations. This list includes (despite not being limited to):<br></font></span></p><ul><li><font face="Arial" size="4">Bit-based models (e.g. bit-base reformulations, Weightless Neural Networks) & their applications (e.g. sensor networks)</font></li><li><font face="Arial" size="4">Learning on dedicated (e.g. GPU, FPGA) and unconventional (e.g. quantum computing systems) architectures</font></li><li><font face="Arial" size="4">Linear & sub-linear ML algorithms for High-Performance Computing</font></li><li><font face="Arial" size="4">Learning on large, distributed and cloud architectures.</font></li></ul><div><br class="webkit-block-placeholder"></div><div><font face="Arial" size="4">Note that:</font></div><div><br class="webkit-block-placeholder"></div><div><ul class="MailOutline"><li><font face="Arial" size="4">Theoretical, practical and applicative works are all welcome</font></li><li><font face="Arial" size="4">The relevance with reference to the Special Session topics should be emphasized by the authors in their submissions.</font></li></ul></div><p class="MsoNormal" style="font-family: Verdana; font-size: 14px; line-height: 18.200000762939453px; text-align: left; margin-bottom: 0.0001pt; "><span style="font-size: 13.5pt; line-height: 20px; "><br></span><strong><span style="white-space: pre-wrap; "><span style="font-size: 11.5pt; line-height: 17px; font-family: Arial, sans-serif; ">ABSTRACT</span></span></strong></p><p class="MsoNormal" style="text-align: left; margin-bottom: 0.0001pt; "><font face="Arial, sans-serif" size="4"><span style="line-height: 17px; white-space: pre-wrap; ">Fast, effective, reliable models: these are the desiderata of every theorist and practitioner. </span></font></p><p class="MsoNormal" style="text-align: left; margin-bottom: 0.0001pt; "><font face="Arial, sans-serif" size="4"><span style="line-height: 17px; white-space: pre-wrap; ">Machine Learning (ML) algorithms, proposed in the last decades, proved to be effective and reliable in solving complex real-world problems. A huge amount of work has been spent to properly reformulate or revise these techniques, which are usually designed without taking into account the destination computing architecture, in order to make them run as fast as possible. </span></font></p><p class="MsoNormal" style="text-align: left; margin-bottom: 0.0001pt; "><font face="Arial, sans-serif" size="4"><span style="line-height: 17px; white-space: pre-wrap; ">This effort is often motivated by application-specific requirements, such as the need to accelerate the learning process with dedicated/distributed hardware (e.g. cloud computing) or to foster energy-sparing requirements of applications based on mobile standalone devices (e.g. smartphones, sensor networks). </span></font></p><p class="MsoNormal" style="text-align: left; margin-bottom: 0.0001pt; "><font face="Arial, sans-serif" size="4"><span style="line-height: 17px; white-space: pre-wrap; ">Contemplating the destination computing architecture influences overall performance, but can also be exploited for implementation benefits: it is the case of quantum computing, and of recent advances in ML showing how the generalization capability of learnt models can take advantage of computational constraints in learning.</span></font></p><div><div><br></div><div><p class="MsoNormal" style="font-family: Verdana; font-size: 14px; line-height: 18.200000762939453px; text-align: left; margin-bottom: 0.0001pt; "><strong><span style="white-space: pre-wrap; "><span style="font-size: 11.5pt; line-height: 17px; font-family: Arial, sans-serif; ">SUBMISSION & IMPORTANT DATES</span></span></strong></p><p class="MsoNormal" style="text-align: left; margin-bottom: 0.0001pt; "><font size="4"><span style="line-height: 17px; font-family: Arial, sans-serif; ">We kindly invite you to submit a paper to this special session. Each paper will undergo to a peer reviewing process for its acceptance. Paper submission should be done exclusively through the ESANN portal following the instructions provided in: (</span><span style="font-family: Verdana; line-height: 20px; "><a href="http://www.elen.ucl.ac.be/esann/index.php?pg=submission)" style="outline: none; text-decoration: none; color: rgb(12, 89, 141); "><span style="line-height: 17px; font-family: Arial, sans-serif; color: rgb(17, 85, 204); ">http://www.elen.ucl.ac.be/esann/index.php?pg=submission)</span></a></span><span style="line-height: 17px; font-family: Arial, sans-serif; ">. <b>Remember to select the BTB special session for your submission, otherwise the paper will be considered for the traditional ESANN tracks. </b></span></font></p><div><font size="4"><br></font></div></div></div><div><font face="Arial" size="4">Paper submission deadline : <font color="#e32400">6 December 2013</font><br>Notification of acceptance : 31 January 2014<br>Deadline for final papers : 21 February 2014<br>ESANN 2014 conference : 23-25 April 2014</font></div><div><span style="font-size: 15px; "><font face="Arial"><br></font></span></div><div><span style="font-family: Verdana; text-align: left; font-size: 13.5pt; line-height: 20px; "><br></span><strong style="font-family: Verdana; font-size: 14px; line-height: 18px; text-align: left; "><span style="white-space: pre-wrap; "><span style="font-size: 11.5pt; line-height: 17px; font-family: Arial, sans-serif; ">NOTES</span></span></strong></div><div><p class="MsoNormal" style="text-align: left; margin-bottom: 0.0001pt; "><font face="Arial, sans-serif"><span style="font-size: 15px; line-height: 17px; ">You can find details about the special session at </span></font><font face="Arial" style="line-height: 18px; font-size: 15px; "><a href="http://btb.smartlab.ws/">http://btb.smartlab.ws</a>. </font><span style="font-family: Arial, sans-serif; font-size: 11.5pt; line-height: 17px; ">If you have any questions concerning the special session, please do not hesitate to contact us via email to: </span><a href="mailto:btb@smartlab.ws" style="font-size: 15px; ">btb@smartlab.ws</a></p><p class="MsoNormal" style="font-family: Verdana; font-size: 14px; line-height: 18.200000762939453px; text-align: left; margin-bottom: 0.0001pt; "><span style="font-size: 13.5pt; line-height: 20px; "><br></span><span style="font-size: 11.5pt; line-height: 17px; font-family: Arial, sans-serif; ">More information about the Conference Program, accommodation facilities and registration fees is available on the ESANN website <a href="http://www.esann.org/" style="outline: none; text-decoration: none; color: rgb(12, 89, 141); ">www.esann.org</a></span></p><div><br></div><div><font face="Arial" style="font-size: 13px; ">---<br>Dr. Alessandro Ghio, Ph.D.<br><br>DITEN - University of Genoa<br>Via Opera Pia 11a, I-16145 Genoa (Italy)<br><br>T. +39-(0)10-3532192<br>F. +39-(0)10-3532897<br>@ <a href="mailto:Alessandro.Ghio@smartlab.ws">Alessandro.Ghio@smartlab.ws</a><br><br>W <a href="http://smartlab.ws/">http://smartlab.ws/</a><br>---</font></div></div><div><font face="Arial" style="font-size: 13px; "><br></font></div></body></html>