… to empowerment, … -machine teaming on target acquisition, there is also discussion of ‘autonomous
planning ability’ (自主规划能力) that suggests greater inclusion of machine learning …

… machine learning approaches for this application zone. This paper will state the different
machine learning applications expected to run the machine … empowers PCs to machine learning …

… Sensors have decreased and less expensive, and with the development of remote
systems … The Mobile Millennium traffic data framework wires information from GPS-empowered …

… One of the key benefits of OpenAI Gym is its provision of a base environment class,
empowering users to craft their own environments. This feature enables users to create custom …

… Catalogs that empowers users to efficiently locate and explore relevant data assets within
the catalog. These catalogs leverage artificial intelligence and machine learning techniques to …

… problem solving algorithm based on the immovable-point deep learning network is designed…
The algorithm can not only overcome the dependence of the nonlinear estimation operator …

… -driven deep learning modeling methods for image classification and natural language
processing, the flow fields predicted by deep learning … Recently, physics-enhanced deep learning …

… empowerment methods are systematically sorted out from the perspective of deep learning
empowerment. … structural optimization design based on deep learning technology, as a direct …

… ) system leads to excessive communication overhead in centralized machine learning (CML)…
Blockchain empowered asynchronous federated learning for secure data sharing in Internet …

… microsystem from the perspective of digital empowerment[J]. … machine learning in industry
for software defect prediction[C]//Proceedings of the 9th International Conference on Software …