A new frontier in computing is evolving around developing systems that 'sense' and respond to data in ways that represent or mimic human 'cognition'. These advancements represent the intersection of developments in processor hardware, software, and sensing devices. Examples include the implementation of low power architectures that mimic the type of synaptic information transmission that occur in animal brains (Neuromorphic systems), improvements in probability based software for big data analysis systems such as Natural Language Processing, the development of "deep learning systems" which have demonstrated systems that 'learn' representations of data, and the explosive growth of user based content in data systems such as cell phone video etc.. The evolution of these systems is leading to new possibilities for computing systems to interpret a vast amount of big data collected by sensors into a meaningful representations and to learn from that data or draw inferences from it.
This workshop is intended to spur discussion and highlight the possibilities, opportunities, and challenges in the evolution of these new systems that begin to perceive the world,
Focus areas of the workshop will include:Hardware
Notification of Acceptance : Wednesday Feb 23, 2015
Final Publication no more than 8 pages: March 10, 2015
At least one author per accepted paper, must be registered for the conference. There is one flat fee for both the conference and workshop.