AIML 2018 : ADVANCES IN AI AND MACHINE LEARNING: RESEARCH AND PRACTICE, IEEE Workshop
Call For Papers
After decades of generous promises and several frustrating disappointments, artificial intelligence (AI) and machine learning (ML) is finally starting to deliver real benefits, and early adopters in business and industry are embracing its promise reaping benefits. We're now witnessing rapid advances in AI and ML – in research, development, application and commercialization. To lay better foundation for the future - to make the connected, smartening world more smarter and to embrace AI for good for benefit of society, advances in AI and ML, their new innovative applications, and challenges and lessons learned need to be shared and discussed.
THIS WORKSHOP WILL FACILITATE MUCH NEEDED INTERACTION AND INFORMATION EXCHANGE AMONG AI RESEARCHERS, PRACTITIONERS AND BUSINESS EXECUTIVES. It will provide an interactive forum for discussion on recent and ongoing developments, key issues and challenges, and practices related to AI applications. It will also provide a platform to demonstrate applications and software tools, and present case studies and application experience. Researchers and practitioners from all over the world, from academia, industry, and government are invited to present their work and perspectives and participate in the workshop.
TOPICS OF INTEREST include, but are not limited to:
• Advances in AI and machine learning, deep learning, cognitive computing, intelligent agent, chatbot
• AI strategy for business and industry
• AI applications in industry, business, healthcare, and education and training
• AI in legal practice
• Entertainment in the AI age
• AI for enhancing information security and privacy
• Work in the age of AI
• Trust, resilience, privacy and security issues in AI applications
• Testing and validation of AI and ML applications
• Risks, limitations, and challenges of AI and ML
• Legal, regulatory, ethical aspects of AI
• AI: promise vs practice
• Societal implication of the rise of AI
• Human-machine co-existence and collaboration
• Intelligent, autonomous robots and cars
• Industry 4.0
• Smart society
• AI and IoT
• Case studies, experience reports, lessons learned
• Overview of AI activities in a region/country
• The future of AI
Accepted papers will be published in COMPSAC Proceedings at IEEE Xplore which is indexed by several popular indexing services.
IN ADDITION TO REGULAR PAPERS, WE WELCOME, PARTICULARLY FROM INDUSTRY AUTHORS, INDUSTRIAL PRACTICE REPORTS. Furthermore, to facilitate presentation of their already published work to a wider audience in person and to gain feedback on their work, authors can submit their published work in an IEEE journal in the last three years or accepted but not yet published papers, for presentation under the J1C2 (JOURNAL FIRST AND CONFERENCE SECOND) SCHEME.
Submit your paper (upto six pages in the prescribed format) online at http://www.compsac.info/ by 10th April 2018. For further details, please visit www.compsac.org, https://ieeecompsac.computer.org/2018/aiml/
San Murugesan, Director, BRITE Professional Services; Adjunct Professor, Western Sydney University, Australia. firstname.lastname@example.org
Takahira Yamaguchi, Faculty of Science and Technology, Keio University; Past President, Japanese AI Association, Japan. email@example.com