1.

Record Nr.

UNINA9910373904303321

Titolo

Artificial Intelligence in China : Proceedings of the International Conference on Artificial Intelligence in China / / edited by Qilian Liang, Wei Wang, Jiasong Mu, Xin Liu, Zhenyu Na, Bingcai Chen

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020

ISBN

981-15-0187-4

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (XI, 667 p. 304 illus., 225 illus. in color.)

Collana

Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 572

Disciplina

006.3

Soggetti

Telecommunication

Artificial intelligence

Electronic circuits

Signal processing

Computer networks

Computer science - Mathematics

Communications Engineering, Networks

Artificial Intelligence

Electronic Circuits and Systems

Signal, Speech and Image Processing

Computer Communication Networks

Mathematical Applications in Computer Science

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Deep Learning and Neural Networks -- Machine Learning -- Computer Vision -- Knowledge Representation and Reasoning -- Probabilistic Reasoning -- Statistical Learning -- Reinforcement Learning -- Decision Making -- Fuzzy Systems -- Evolutionary Computing -- Inference and Prediction -- Human-Inspired Learning and Computing -- Autonomous Vehicle -- Data Mining -- Spoken Language Processing -- Pattern Analysis and Recognition -- Robotics -- AI for Sensing -- AI for Communications -- AI for Internet of Things -- AI for Signal Processing -- AI for Education -- AI for Healthcare -- AI for Other Applications. .



Sommario/riassunto

This book brings together papers presented at the International Conference on Artificial Intelligence in China (ChinaAI) 2019, which provided a venue for disseminating the latest advances and discussing the interactions and links between the various subfields of AI. Addressing topics that cover virtually all aspects of AI and the latest developments in China, the book is chiefly intended for undergraduate and graduate students in Electrical Engineering, Computer Science, and Mathematics, for researchers and engineers from academia and industry, and for government employees (e.g. at the NSF, DOD, and DOE). .