IP Training for Innovation Teams

Online secured two-party collaborative preparation of a formal intellectual property application document and controlled online delivery of the document to a selected Government Intellectual Property Protection Agency. It uses an IP-focused MOOC site with unrestricted and restricted access to IP information and templates. The first party is an IP service provider that creates the MOOC site content. The second party is a user who can access the content and collaborate with the first party to complete an IP application.

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Segmenting and protecting users from targeted cyber attacks by analyzing user characteristics like seniority and role to identify high-risk groups. The system leverages machine learning to classify employees based on attributes like seniority and business function. This classification is used to prioritize security measures and training for higher-risk groups like executives in finance or HR. It enables targeted protection for users most likely to be attacked who have access to valuable data.

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Adaptive system for interactive teaching that improves education strategy based on student feedback. The system involves a platform for visualizing strategic concepts, user interfaces for optimized online learning, and machine learning to analyze student feedback and generate optimized educational projects. It aims to promote adaptive learning and interactive teaching by leveraging student feedback to improve education strategy, policies, and infrastructure.

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Intellectual property operation platform that leverages big data to improve efficiency, quality, and talent development in the intellectual property industry. The platform has modules for intellectual property transactions, talent training, agency services, enterprise services, and individual services. It integrates these modules into a unified system to provide end-to-end intellectual property services. The talent training module provides comprehensive literacy training in basic, professional, and management aspects. The platform collects and stores talent data, which can be accessed by the other modules to enhance service quality, management, and recommendation. The integrated platform aims to optimize agency procedures, improve case handling efficiency, and enhance service quality through fine and accurate business management enabled by big data.

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Intellectual property (IP) early warning system that proactively alerts IP holders of potential infringements. It compares IP records with external databases to identify similarities. The system collects IP details like patents, trademarks, and copyrights from customers. It integrates this data with external IP sources like patent databases. An algorithm compares the integrated data to find similarities. If potential infringements are found, an alert is triggered. The system also provides IP training and resources.

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An integrated online platform for modern science and technology services that provides various functions related to science, technology, innovation, intellectual property, financing, training, and rights protection. It includes modules for accessing resources like patents, scientific literature, funding systems, and testing platforms, as well as services like intellectual property agency, protection, management, use, and training. The platform aims to provide a centralized hub for science and technology needs.

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A comprehensive one-stop intellectual property (IP) service platform that provides a range of IP services to IP owners, managers, and businesses. The platform aims to address the shortcomings of existing IP service platforms by providing a complete IP service ecosystem with features like IP evaluation, licensing, transaction, infringement analysis, IP strategy planning, IP research for specific industries, corporate management systems, and IP education. The platform aims to provide a single platform for IP subjects to manage their IP portfolios, find IP opportunities, protect IP rights, and commercialize IP.

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