Making personalized predictions in scenarios with scarce data is a big challenge in the AI industry. Based on deep reinforcement learning technology, SeDeM AI (Sequential Decision-Making AI) is designed and programmed to learn the deep logic behind each individual event and continuously self-update its learning through analyzing the difference between prediction and observation.
Recognizes typewritten and handwritten content on paper documents and photo images, and translates them into an editable digital version. The whole process is automated end-to-end. It has proven to be faster, cheaper, and much more accurate than human labor and any other existing products in the market during comparison tests with clients.
Through analyzing video and audio elements simultaneously, Smart Video Analysis can identify and analyze people, objects and events, track human movements across multiple cameras and recognize target events such as predicted human intention, which assists clients in obtaining valuable insights from daily video recordings.
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