Key Dates

• Submissions due: Nov. 15 Nov. 22 , 2019

• Notification of acceptance: Dec. 3 Dec. 9, 2019

• Camera-ready Deadline: Dec. 28Jan.7, 2020

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 algorithms to run on resource constrained, secure, and connected devices. The workshop encourages submissions of innovative technologies and applications that enable IoT scenarios. Topics 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

• Optimized Blockchain for IoT

• 5G and IoT

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 and that are not currently under review by another conference and journal. Submissions will be assessed based on their novelty, technical quality, significance of impact, interest, clarity, relevance, and reproducibility.

Following AAAI conference tradition, submission reviewing is double-blinded. Submitted papers will be peer-reviewed and selected for oral or poster presentation. Accepted papers will be published on the workshop’s website.

All submissions must be in PDF format and formatted in AAAI two-column, camera-ready style (see the 2020 author kit for details).

Technical paper submissions must be no more than six pages long including all content and references. Project showcase submissions focus on innovative AIoT-relevant projects. Preference will be given to projects, which contribute to open source, open data, and social good. Project showcase submission must be no more than two pages long. It should contain a brief description of the project including its goal, problem statement, solution, partner, and deployment status if any. Project demonstration (recorded) and URL are recommended.
Submit your paper through the Artificial Intelligence of Things workshop 2020 Submission Site:

Submit Link

Any questions may be directed to the workshop’s email address: aiotworkshop@gmail.com