Sensory Intelligence
Sensors play a critical role in autonomous robots, Internet of Things, and many Cyber-Physical Systems. While classic Cybernetics started with sensor-based feedback control systems in animals, humans and machines, Artificial Intelligence originated from the computational models of human cognition in reasoning, language and problem-solving. The worlds have been divorced for long time and now they remarry. As sensors have become affordable, Sensory Intelligence emerges. It simulates primitive behaviors in animals and humans such as haptics, navigation, spectrum imaging, adaptation, interaction, and learning-on-the-fly. The applications include continuous personal health monitoring (CPHM), smart helmets, remote fever detection, Deep Fake face detection, malware perception, and drone video analytics.
Date and Time
Location
Hosts
Registration
- Date: 10 Mar 2021
- Time: 02:00 PM to 03:00 PM
- All times are (GMT-05:00) US/Eastern
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- 1000 River Road
- Teaneck , New Jersey
- United States 07666
- Building: Muscarelle Center, M105,
- Room Number: M105
- Contact Event Hosts
- Co-sponsored by Signal Processing Chapter, AP/MTT
- Starts 11 January 2021 07:00 AM
- Ends 10 March 2021 02:05 PM
- All times are (GMT-05:00) US/Eastern
- No Admission Charge
Speakers
Dr. Yang Cai of Carnegie Mellon University
Sensory Intelligence
Biography:
Dr. Yang Cai is Senior Member of IEEE and Vice Chair of IEEE Pittsburgh. He is Director of Visual Intelligence Studio, Senior Systems Scientist and Associate Research Professor of CyLab Institute and Biomedical Engineering, Carnegie Mellon University. His research interests include Sensory Intelligence and Augmented Reality. He is authors of the AI books: Instinctive Computing (Spring 2016) and Ambient Diagnostics (CRC, 2014 and 2019). In 2019, his team won the NIST Haptic Interface Challenge Award at the First Place.
Address:United States
Agenda
Sensors play a critical role in autonomous robots, Internet of Things, and many Cyber-Physical Systems. While classic Cybernetics started with sensor-based feedback control systems in animals, humans and machines, Artificial Intelligence originated from the computational models of human cognition in reasoning, language and problem-solving. The worlds have been divorced for long time and now they remarry. As sensors have become affordable, Sensory Intelligence emerges. It simulates primitive behaviors in animals and humans such as haptics, navigation, spectrum imaging, adaptation, interaction, and learning-on-the-fly. The applications include continuous personal health monitoring (CPHM), smart helmets, remote fever detection, Deep Fake face detection, malware perception, and drone video analytics.