TY - GEN
T1 - The 4th Artificial Intelligence of Things (AIoT) Workshop
AU - Zhang, Jian
AU - Tang, Jian
AU - Chen, Yiran
AU - Liu, Jie
AU - Ye, Jieping
AU - Wolf, Marilyn
AU - Narayanan, Vijaykrishnan
AU - Srivastava, Mani
AU - Jordan, Michael I.
AU - Bahl, Victor
N1 - Publisher Copyright:
© 2021 Owner/Author.
PY - 2021/8/14
Y1 - 2021/8/14
N2 - With advancement of recent network and chip technologies, IoT devices are becoming smarter with increasing compute power, bandwidth, and storage available on the device. This enables intelligent decision making and information transferring on the devices and unleashes the power of AIoT (Artificial Intelligence of Things) that supports scenarios such as smart city/agriculture/manufacturing/health care and self-driving scenarios. The AIoT Workshop is a forum for researchers, scientists, engineers, and practitioners to share and learn AI powered IoT solutions. The AIoT is a multi-disciplinary area, which include but not limited to IoT, AI/ML, embedded systems, and networking. The 4th AIoT workshop will be hosted virtually in conjunction with the 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2021). The workshop program consists of keynote(s), invited talks, accepted technical paper presentations, as well as an indoor location competition panel.
AB - With advancement of recent network and chip technologies, IoT devices are becoming smarter with increasing compute power, bandwidth, and storage available on the device. This enables intelligent decision making and information transferring on the devices and unleashes the power of AIoT (Artificial Intelligence of Things) that supports scenarios such as smart city/agriculture/manufacturing/health care and self-driving scenarios. The AIoT Workshop is a forum for researchers, scientists, engineers, and practitioners to share and learn AI powered IoT solutions. The AIoT is a multi-disciplinary area, which include but not limited to IoT, AI/ML, embedded systems, and networking. The 4th AIoT workshop will be hosted virtually in conjunction with the 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2021). The workshop program consists of keynote(s), invited talks, accepted technical paper presentations, as well as an indoor location competition panel.
UR - http://www.scopus.com/inward/record.url?scp=85114951219&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85114951219&partnerID=8YFLogxK
U2 - 10.1145/3447548.3469464
DO - 10.1145/3447548.3469464
M3 - Conference contribution
AN - SCOPUS:85114951219
T3 - Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
SP - 4179
EP - 4180
BT - KDD 2021 - Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
PB - Association for Computing Machinery
T2 - 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2021
Y2 - 14 August 2021 through 18 August 2021
ER -
