Data Science Institute
AI Chip Institute
Algorithm Institute
Institute of Cognitive Intelligence
Autonomous Driving Technology Institute
V2X Network Institute
Robotics Research Institute
Institute of Intelligent Manufacturing
Robotics Test Lab
Brain-computer Interface Institute
Brain Sciences Basic Research Platform
Institute of Medical Intelligence
AI Genetics Institute
Institute of Computing Biology
Institute of Energy Technology
Institute of Quantum Technology
Institute of Military technology
Professional Experts Workstation
Tsinghua University (Department of Computer Sciences) - DeepBlue Technology Computer Vision Research Centre
DeepBlue Technology - Shanghai Jiaotong University Artificial Intelligence Joint Research Lab
Zhongnan University DeepBlue Technology Joint Research Lab
China Unicorn DeepBlue 5G Artificial Intelligence Joint Innovation Lab
10 +
International Championships
50 +
Software
Copyrights
100 +
DeepBlue Affiliated Institutes
Researchers and Postdocs
480 +
Patents (inclusive of pending application)
DeepBlue Technology adopts vision-oriented multi-sensor fusion technology, combined with precise positioning navigation, enhanced learning and decision-making systems with optimal autonomous driving safety control technologies. The various software and hardware platforms work together with the auto-driving technologies to provide a seamless, driverless experience that people will be able to enjoy in the future.
DeepBlue’s bio-intelligence technology is composed of bio-recognition and AI gene identification capabilities. The biometric palm-vein identification technology is developed by self-developed feature extraction algorithms to obtain the image features of palm-veins using near-infrared imaging. For gene sequencing, an AI model based on genome data and medical data is constructed which is a complete intelligent precise medical application platform covering disease risk prediction, screening and treatment.
Based on convolutional neural network algorithms, video images are processed, analyzed, and intelligently understood to identify a variety of different objects and events.
The research focuses on the cognitive reasoning learning framework of new generation interpretable AI, which draws on the advantages of traditional symbolic reasoning and probability learning. Cognitive AI is still a very new branch, and we hope to explore a new generation of more efficient and accurate AI technology from symbol space to vector space and to break through the dependence of traditional deep learning on big data.
DeepBlue Technology adopts vision-oriented multi-sensor fusion technology, combined with precise positioning navigation, enhanced learning and decision-making systems with optimal autonomous driving safety control technologies. The various software and hardware platforms work together with the auto-driving technologies to provide a seamless, driverless experience that people will be able to enjoy in the future.
DeepBlue’s bio-intelligence technology is composed of bio-recognition and AI gene identification capabilities. The biometric palm-vein identification technology is developed by self-developed feature extraction algorithms to obtain the image features of palm-veins using near-infrared imaging. For gene sequencing, an AI model based on genome data and medical data is constructed which is a complete intelligent precise medical application platform covering disease risk prediction, screening and treatment.
Based on convolutional neural network algorithms, video images are processed, analyzed, and intelligently understood to identify a variety of different objects and events.
The research focuses on the cognitive reasoning learning framework of new generation interpretable AI, which draws on the advantages of traditional symbolic reasoning and probability learning. Cognitive AI is still a very new branch, and we hope to explore a new generation of more efficient and accurate AI technology from symbol space to vector space and to break through the dependence of traditional deep learning on big data.
April 2019DeepBlue emerged Champions at the PAKDD 2019 AutoML3+ Challenge.
June 2019DeepBlue won the CVPR 2019 Fine-grained Image Classification challenge, in addition to the other two competitions in the same period and emerged second and third. DeepBlue Technology was awarded the CVPR 2019
July 2019IEEE ISI 2019 announced that DeepBlue placed first and second at the Big Data Analysis Challenge
July 2019DeepBlue’s team Deepblueai won the High Precision Recall Task Challenge at the SIGIR 2019 E-COMMERCE conference.
August 2019DeepBlue’s Deepblueai team gained first place at the KDD Cup 2019 AutoML Track.
August 2019DeepBlue’s Deepblueai team won first place at the WAIC 2019 ‘Fourth Paradigm AutoNLP Challenge’ Hackathon
October 2019DeepBlue’s Deepblueai team at ICCV 2019 won 4 first-place, 4 second-place, and one third place finishes.
October 2019Deepblue's DeepblueAI team came in first and second place in two subtitle contests at the ACM MM 2019 conference.
April 2019DeepBlue emerged Champions at the PAKDD 2019 AutoML3+ Challenge.
June 2019DeepBlue won the CVPR 2019 Fine-grained Image Classification challenge, in addition to the other two competitions in the same period and emerged second and third. DeepBlue Technology was awarded the CVPR 2019
July 2019IEEE ISI 2019 announced that DeepBlue placed first and second at the Big Data Analysis Challenge
July 2019DeepBlue’s team Deepblueai won the High Precision Recall Task Challenge at the SIGIR 2019 E-COMMERCE conference.
August 2019DeepBlue’s Deepblueai team gained first place at the KDD Cup 2019 AutoML Track.
August 2019DeepBlue’s Deepblueai team won first place at the WAIC 2019 ‘Fourth Paradigm AutoNLP Challenge’ Hackathon
October 2019DeepBlue’s Deepblueai team at ICCV 2019 won 4 first-place, 4 second-place, and one third place finishes.
October 2019Deepblue's DeepblueAI team came in first and second place in two subtitle contests at the ACM MM 2019 conference.