2020 AI & INNOVA

2020 AI & Innovation

Taipei, Taiwan, Republic Of China
1 - 4 June 2020
64 days until the conference begins

Important Dates

Abstract Submission Deadline
5th February 2020
Early Bird Deadline
30th March 2020

About 2020 AI & INNOVA

Artificial Intelligence is based on the research of fundamental and applied sciences. Through the evolution of information and engineering, it has gradually penetrated and changed not only our lives but our work style, which has resulted in bringing new experiences and convenience. And yet we’re facing with an unprecedented challenge and a crisis of privacy. An agenda, such diversified and interdisciplinary, ACEAI and the 8th ISFAS sincerely invite all relevant professionals in both academic and the industry to present and to exchange.

Topics

Iot, Information, Engineering, Blockchain technology, Artificial intelligence, 5g

Call for Papers

All relevant abstracts/full papers in regards to “Fundamental and Applied Sciences” and “Engineering and Information” are welcomed, especially in the fields of AI, 5G, IoT and Blockchain. We accept the submission of high-quality papers describing original and unpublished results of conceptual, constructive, experimental and theoretical work or research in all topic areas mentioned. Full research papers and abstracts are welcomed.

Submission Deadline: February 5th

Acceptance Notification February 19th

Registration Deadline March 30th

Program Announcement April 15th

ARTIFICIAL INTELLIGENCE        - Algorithms - Cognitive computing - Data Mining - Artificial Neural Networks  - Evolutionary Computation - Machine Learning - Neuromorphic Computing - Bioinformatics - Multi-agent system - Natural Language ProcessingINTERNET OF THINGS - Intelligent Web - Nanotechnology - Material Science - Convolution Neural Network - Cloud Computing BLOCKCHAIN - Cryptography - Big Data Analytics - Blockchain Technology5G - Electromagnetism - Mobile Sensor Networks - Optical Wireless Technologies  - Information and Communication   Technology. - Signal Reconstruction

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