Paypal, Inc.

Shanghai University

Shanghai Mediworks Precision Instruments Co., Ltd.

Hang Yu

Yi Ren

Gaoyuan Wang

Ravi Retineni

Li Cao

Zihao Zhao

Huiting Li

Sneha Venkatachalam

Zhaoyang Wang

Shaorong Xie

Yue Wei

Wenguang Chen

Sufeng Yan

Zhaosong Kong

Xiangfeng Luo

Yunxiao Han

Shaojuan Wang

Xianran Peng

The present disclosure relates to the technical field of decision-making of unmanned surface vehicles, and provides a brain-like memory-based environment perception and decision-making method and system for an unmanned surface vehicle. The method includes: obtaining an image of an environment in front of an unmanned surface vehicle; and inputting the image of the environment into an environment perception and decision-making model of the unmanned surface vehicle, and outputting an action instruction, where the environment perception and decision-making model of the unmanned surface vehicle includes an image feature extractor, a Bidirectional Encoder Representations from Transformers (BERT) model, a fully connected layer, a short-term scene memory module, and a long-term memory module that are connected in turn; the BERT model extracts an image feature representation containing a text feature from an image feature. The present disclosure improves accuracy of decision-making of an action.

Brain-like memory-based environment perception and decision-making method and system for unmanned surface vehicle

Methods and systems are presented for providing a computer platform that manages the impacts of government regulations on existing software processes of an online service provider. A regulation document is obtained from a government agency. The regulation document is processed, and legal obligations relevant to an online service provider are extracted from the regulation document. An ensemble machine learning model is used to recommend, for each of the legal obligations, software controls that can be implemented within one or more software processes of the online service provider to mitigate a risk of the legal obligations. The ensemble machine learning model may include an attribute-based model and a text-based model. An explainable visual interface is provided to present the recommended software controls and context that indicates to a user how the software controls are determined for the legal obligations.

Software process modification platform for compliance

The present patent application discloses a digital slit-lamp microscope system and the methods of the electronic recording and remote diagnosis. The present patent application relates to the field of optical instrument and remote communication control. The purpose is to solve the problems of the electronic recording, reappearing and remote diagnosis of the slit-lamp image. The digital slit-lamp microscope system comprises digital slit-lamp microscope side, communication unit and client side. The digital slit-lamp microscope side includes a build-in slit-lamp microscope and is connected to the communication unit and the client side in sequence. The digital slit-lamp microscope side irradiates the eyes of the patient, and then transmits the pathology information of the eyes of the patient to the communication unit and the client side in sequence.

Digital slit-lamp microscope system and method of electronic record and remote diagnosis

Growing community of inventors

Shanghai, China

Hang Yu