SCEJ 82nd Annual Meeting (Tokyo, 2017): List of the applications (topics)

Most recent update: 2017-05-20 20:59:01

The keywords that frequently used in this topics code.	Keywords	Number
	Big data analysis	1
	AI	1
	Computational Material Discovery	1

ACKN No.	Title/Author(s)	Keywords	Style
212	(machine translation) Introduction of Mitsui Chemicals' Initiatives (Mitsui Chemicals) (Ful)Esaki Norio	AI Big data analysis	O
750	[Keynote lecture] (machine translation) Next-Generation Artificial Intelligence Technology in Life and Service (AIST) Motomura Yoichi		O
758	(machine translation) Latest Trend of IoT in Manufacturing Industry and Utilization of AI (Hitachi) (Cor)Morita K.		O
763	(machine translation) Computational Material Discovery by Machine Learning (IBM Japan) Nakagawa S.	Computational Material Discovery	O
765	(machine translation) Google's AI Strategy and Case Study by BrainPad (Google) *Tojoh Hidetoshi・ (BrainPad) Oota Mitsuhisa		O

List of received applications (By topics code)

List of received applications
SCEJ 82nd Annual Meeting (Tokyo, 2017)

(C) 2017 The Society of Chemical Engineers, Japan. . All rights reserved.
Most recent update: 2017-05-20 20:59:01
For more information contact Organizing Committee, SCEJ 82nd Annual Meeting (Tokyo, 2017)
E-mail: inquiry-82a

www3.scej.org

This page was generated by

`SCEJ 82nd Annual Meeting (Tokyo, 2017)`

List of received applications (By topics code)

SS) Session organized by Industry

SS-4. Management Issues of Chemistry Related Industry -A new Challenge Using AI in the Chemical Industry-