2017 International Conference On Computer Aided Design

The Premier Conference Devoted to Technical Innovations in Electronic Design Automation

November 13-16, 2017Irvine Marriott Irvine, CA

Tue, 2017-08-29 15:54 -- root
With the proliferation of sensor data and advancement of processing power, machine learning techniques have shown great promise in cyber-physical systems (CPS) applications. These techniques are particularly effective for analyzing, controlling and optimizing complex CPS where the system dynamics and surrounding environment are hard to capture; however, applying them in practical systems often faces challenges from resource and timing constraints as well as reliability, predictability and security requirements. In this session, the four talks will introduce the application of machine learning techniques across a variety of CPS domains, including aerospace, agriculture, petroleum, and buildings and grid. They will demonstrate the effectiveness of using learning techniques, in particular those based on deep neural networks, to achieve artificial intelligence in CPS. They will discuss the encountered challenges in meeting system security, reliability and resource requirements, and present promising solutions.
Event ID: 
2e9d6990-0717-4043-877b-6ff4a520e4ab
Event Type: 
Special Session
Location: 
Newport & Marina
Event Time: 
Monday, November 13, 2017 -
14:00 to 16:00
Session Number: 
2
Session Number Suffix: 
D
Session Number: 
2
confID: 
242