3rd Workshop on Cognitive Architectures (CogArch)
co-located with ASPLOS 2017
April 9, 2017
Submission deadline: February 6, 2017
Notification of acceptance: February 20, 2017
Final paper submission: March 27, 2017
Workshop date: April 9, 2017
The emerging new interest in cognitive computing has led to a paradigm shift in the field of computer architecture. The interplay between the development of state-of-the-art algorithms in cognitive sciences, computer vision, speech recognition and the design of the underlying system architectures has resulted in several cross-disciplinary advances.
After highly successful editions of the Workshop on Cognitive Architectures in 2015 and 2016, in this year’s edition we expect to consolidate the many recent works in this field and provide concrete roadmaps as to what subsequent directions the research in this field should take. This workshop proposes to bring together researchers and practitioners within systems architecture, computer vision, artificial intelligence and robotics to discuss the latest ideas, applications and commercialization strategies around the cognitive computing theme. In addition, it also aims to foster an interest into such emerging fields among industry and academic researchers alike.
CALL FOR CONTRIBUTIONS:
Recent advances in Cognitive Computing Systems (as evidenced by innovations like Watson from IBM and AlphaGo from Google DeepMind), coupled with neurally-inspired hardware designs (such as the IBM TrueNorth chip and Tensor Processing Units (TPU) from Google), have spawned new research and development activity in machine learning, neuromorphic and other brain-inspired computing models, and architectures for efficient support of complex tasks in computer vision, speech recognition and artificial intelligence. The proliferation of mobile computing platforms, Internet-of-Things and cloud support features thereof have opened up exciting new opportunities for real-time, mobile (distributed or swarm-driven) cognition. This half-day workshop solicits formative ideas and new product offerings in this general space. Topics of interest include (but are not limited to):
1. Algorithms in support of cognitive reasoning: recognition, intelligent search, diagnosis, inference and informed decision-making.
2. Swarm intelligence and distributed architectural support; brain-inspired and neural computing architectures.
3. Prototype demonstrations of state-of-the-art cognitive computing systems.
4. Accelerators and micro-architectural support for cognitive computing.
5. Cloud-backed autonomics and mobile cognition: architectural and OS support thereof.
6. Resilient design of distributed (swarm) mobile cognitive architectures.
7. Energy efficiency, battery life extension and endurance in mobile, cognitive architectures.
8. Case studies and real-life demonstrations/prototypes in specific application domains: e.g. Smart homes, connected cars and UAV-driven commercial services, as well as applications of interest to defense and homeland security.
The workshop shall consist of short presentations by authors of selected submissions. In addition, it will include invited keynotes by eminent researchers from industry and academia as well as interactive panel discussions to kindle further interest in these research topics.
Submitted papers will be reviewed by a workshop Program Committee, in addition to the organizers. While these peer-reviewed papers will not be published in the ASPLOS conference proceedings, the authors of the accepted papers will be invited to submit their work to a special issue of an eminent journal. (Presenters at the 2016 edition of CogArch were invited to submit their work to the IEEE MICRO Special Session on Cognitive Architectures).
Full paper manuscripts must be in English of up to 6 pages (with same formatting guidelines as main conference). Visit the workshop web site for further details.
Jingwen Leng, Shanghai Jiao Tong University, China
Karthik Swaminathan, IBM T.J Watson Research Center
Augusto Vega, IBM T.J Watson Research Center
Alper Buyuktosunoglu, IBM T.J Watson Research Center
Pradip Bose, IBM T.J Watson Research Center