Key Dates
• Submissions due: May 5, 2019 May 12, 2019
• Notification of acceptance: June 1, 2019 June 6, 2019
• Camera-ready Deadline: July 1, 2019
All deadlines are at 11:59pm Pacific Time.
Overview
Internet of Things (IoT) is a disruptive technology that extends data collection to almost everything around us and enables them to react through intelligent data processing. Gartner estimates that the number of connected things will grow to over 20 billion by 2020. With recent innovative network and chip technology, devices are becoming smarter with increasing compute power, bandwidth, and storage available on the device. This enables intelligent decision making and information transfer through devices. Insights derived from data generated by IoT devices power new business scenarios and ensure long term success of existing business. Major IT solution providers have been investing in building IoT data platform to support customers to develop IoT solutions in different industry sectors such as smart cities, manufacturing, health care and transportation. These business scenarios impose technical challenges and opportunities in building intelligent cloud and edge solutions. This workshop provides a forum for researchers, data scientists and practitioners from both academia and industry to present the latest research results, share practical experience of building AI powered IoT solutions, and network with colleagues.
Topics
IoT is an interdisciplinary field that intersects with device, sensor network, stream analytics, and machine learning. AI for IoT is a workshop on IoT with its focus on technologies to enable machine learning algorithm to run on resource constrained, secure, and connected devices. The workshop encourages submissions of innovative technologies and applications that enable IoT scenarios. Topic of interest, include but not limited to:
• On device machine learning algorithms
• Real-time computer vision and speech processing
• Learning-enabled IoT applications
• AI for Edge computing
• AI for IoT security and privacy
• Low-power AI for IoT systems
• Distributed inferencing and learning
Attendance
For each accepted paper, at least one author must attend the conference and present the paper.
Abstract and Paper Submission
The workshop invites submission of manuscripts with original research results that have not been previously published or that are not currently under review by another conference or journal. Submissions will be assessed based on their novelty, technical quality, significance of impact, interest, clarity, relevance, and reproducibility. Following KDD conference tradition, submission reviewing is single-blinded. Submissions should include authors’ names and their affiliations.
Submissions must be in PDF format, no more than six pages long including all content
and references,
and formatted according to the