Recent advances in artificial intelligence promote machines to emulate human-like abilities in a way that brings soft computing techniques into focus. What got experts excited about these developments is that one technique: �deep learning', which is a modified version of artificial neural networks, has a wide range of applications. Domains in which soft computing techniques have the potential to advance artificial intelligence and affect the future of human-machine coexistence include, for example, image processing, pattern recognition, cognitive robotics, decision making, transportation, medical and financial applications. This Special Session discusses the most recent advances in soft computing techniques from a cross-disciplinary

Date : 1st November 2017 to 3rd November 2017

Place : Portugal, Rua s�o fernando

Website :https://www.eventbrite.com/e/sct-2017-soft-computing-techniques-a-nature-inspired-framework-for-more-advanced-artificial-tickets-37210800506?aff=NDT

Contact Person:Paula Edwards

Description:

Recent advances in artificial intelligence promote machines to emulate human-like abilities in a way that brings soft computing techniques into focus. What got experts excited about these developments is that one technique: ‘deep learning’, which is a modified version of artificial neural networks, has a wide range of applications. Domains in which soft computing techniques have the potential to advance artificial intelligence and affect the future of human-machine coexistence include, for example, image processing, pattern recognition, cognitive robotics, decision making, transportation, medical and financial applications. This Special Session discusses the most recent advances in soft computing techniques from a cross-disciplinary

Recent advances in artificial intelligence promote machines to emulate human-like abilities in a way that brings soft computing techniques into focus. What got experts excited about these developments is that one technique: �deep learning', which is a modified version of artificial neural networks, has a wide range of applications. Domains in which soft computing techniques have the potential to advance artificial intelligence and affect the future of human-machine coexistence include, for example, image processing, pattern recognition, cognitive robotics, decision making, transportation, medical and financial applications. This Special Session discusses the most recent advances in soft computing techniques from a cross-disciplinary will be held in Rua s�o fernando,Portugal on date 2017-11-03

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Deadline for abstracts/proposals : 31st October 2017

Keynote Speakers : Oussama H. Hamid University of Kurdistan Hewler Iraq Oussama Hamid is an Assistant Professor in Computer Sciences at the University of Kurdistan Hewler (UKH) - Iraq. He is a member of the Executive Editorial Board of the UKH Journal of Science, Medicine and Engineering (UKHJSME) and a member of the Scientific Committee at the Department of Computer Science and Engineering at UKH. In 2011, Oussama received a PhD degree in Natural Sciences (Dr. rer. nat.) from the University of Magdeburg (

Conference Highlights :Abstract There is currently a significant interest in consumer electronics in applications and devices that monitor and improve the user’s well-being. This is one of the key aspects in the development of ambient intelligence systems. Nonetheless, existing approaches are generally based on physiological sensors, which are intrusive and cannot be realistically used, especially in ambient intelligence in which the transparency, pervasiveness and sensitivity are paramount. We put forward a new

Venue :Santa Cruz, Portugal

Check the event website for more details.