Microsoft Technology Licensing, LLC

Central Iron and Steel Research Institute

Beijing Matdao Technology Co., Ltd.

Hang Su

Dong Yu

Gang Li

Kaisheng N Yao

Hao Miao

Frank Seide

Xiaoling Chen

Dongjie Wang

Caifu Yang

Tao Pan

Feng Chai

Linyue Guo

Qingyou Liu

Bing He

Guofeng Qiu

Electric motorcycle

Provided is a method for determining a quality level of an iron and steel product. The method includes: obtaining a plurality of first parameters related to a quality of an iron and steel product; fusing the plurality of first parameters to obtain a comprehensive quality evaluation parameter; and determining a quality level of the iron and steel product based on the comprehensive quality evaluation parameter.

Method for determining quality level of iron and steel product

Various technologies described herein pertain to conservatively adapting a deep neural network (DNN) in a recognition system for a particular user or context. A DNN is employed to output a probability distribution over models of context-dependent units responsive to receipt of captured user input. The DNN is adapted for a particular user based upon the captured user input, wherein the adaption is undertaken conservatively such that a deviation between outputs of the adapted DNN and the unadapted DNN is constrained.

Conservatively adapting a deep neural network in a recognition system

Growing community of inventors

Beijing, China

Hang Su