Cosmetic surgery companies are turning to big data, facial recognition, neural networks, adversarial learning and deep learning technologies that can assess the human face and generate outcomes for a specific procedures to guide patients to their best surgical options.
To combine the advantages of these two methods, the authors of this paper first adapts the multi-source NMT model, by employing different encoders to capture the semantics of the source language, then the decoder is used to generate the final output by the multiple context vector representations coming from the encoder.
On December 5th Alibaba, Ant Financial, and Shanghai Shentong Metro Group jointly launched a new voice interaction system for purchasing subway tickets. Riders can now tell a machine their destination — for example, Zhongshan Park — and the system will use the AutoNavi cloud map to issue a ticket for the nearest station.
Nature will publish the first issue of Machine Intelligence in January 2019. The new journal will cover the “best research from across the field of artificial intelligence,” ranging from machine learning, robotics and human-machine interactions to ethical, legal and societal dimensions of AI.