在 英语 中使用 Deep learning technology 的示例及其翻译为 中文
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The system's graphic recognition engine was developed by incorporating MOL's knowledge and applying artificial intelligence(AI) deep learning technology, allowing it to recognize surrounding vessels.
When I saw the Google's AlphaGo,” Makoto told Google,“that was the trigger for me to start developing the cucumber sorter with deep learning technology.”.
Based on biological and structural target data from Elevian, Insilico will identify small molecules that produce the intended biological actions utilizing deep learning technology.
From the posts and ads that users see to automatically tagging friends in photos, the information all users see is built on deep learning technology.
It uses complex deep learning technologies to synthesize speech that sounds like a human voice.
Neural networks and deep learning technologies underpin most of the advanced intelligent applications today.
Artificial intelligence(AI) and deep learning technologies are disrupting our world in unprecedented ways.
However the emergence of deep learning technologies opens the possibility of expanded capabilities and flexibility.
Many ecommerce companies are also employing vision and Deep Learning technologies to perform fashion product search and style recommendation.
Robots are improving their abilities to teach themselves new skills by using deep learning technologies, without any programming required during operation.
Machine learning, deep learning technologies, voice recognition, speech synthesis, image recognition and natural language processing(NLP) are evolving and upgrading rapidly.
At SVDS, our R&D team has been investigating different deep learning technologies, from recognizing images of trains to speech recognition.
The company has been delving into artificial intelligence and deep learning technologies to better the customer experience, especially in field-oriented sectors such as retail.
SenseTime was founded by MIT alumnus Xiaoou Tang PhD'96 and specializes in computer vision and deep learning technologies.
The office in Zurich allows Magic Leap to further extend its leadership role in computer vision and deep learning technologies.
The office in Zurich allows Magic Leap to further extend its leadership role in computer vision and deep learning technologies.
The most recent shift towards neural machine translation is powered by deep learning technologies.
Founded in 2014, Neon lets developers build, train and deploy deep learning technologies in the cloud.
It was founded in 2014, it allows developers build, train and use deep learning technologies in the cloud.
SK hynix explains the importance of improving its ai based machine learning capabilities and deep learning technologies to improve productivity.