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VERSION:2.0
PRODID:-//project/author//NONSGML v1.0//EN
CALSCALE:GREGORIAN
BEGIN:VEVENT
DTEND:20191206T120000Z
UID:9f819b24ca977f0bf6aeb91bea1cb681-12
DTSTAMP:19700101T120011Z
DESCRIPTION:Cyber(-Physical) Systems and Machine Learning: Research Challenges
URL;VALUE=URI:https://www.csa.iisc.ac.in/newweb/event/12/cyber-physical-systems-and-machine-learning-research-challenges/
SUMMARY:The rapid digital transformation of our world, the exponential improvements in computing, communication, and storage, and the evolution of machine learning are transforming the very nature of scientific discovery and engineering research and making advances in many areas including personalized health care, emergency response, traffic flow management, and electric power generation. These developments have resulted in new complex applications and workflows that require sophisticated cyber and cyber-physical systems that deeply integrate computation, communication, and control into physical systems. After a brief overview of machine learning, I will describe the characteristics of the new applications and the architectures of the required cyber(-physical) systems. The focus will be on the current research challenges in programming, debugging, and managing these systems safely and securely, utilizing machine learning technologies.
DTSTART:20191206T120000Z
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