English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This paper briefly analyzes the advantages and problems of AI mainstreamtechnology and puts forward: To achieve stronger Artificial Intelligence, theend-to-end function calculation must be changed and adopt the technology systemcentered on scene fitting. It also discusses the concrete scheme named DynamicCognitive Network model (DC Net). Discussions : The knowledge and data in thecomprehensive domain are uniformly represented by using the rich connectionheterogeneous Dynamic Cognitive Network constructed by conceptualized elements;A network structure of two dimensions and multi layers is designed to achieveunified implementation of AI core processing such as combination andgeneralization; This paper analyzes the implementation differences of computersystems in different scenes, such as open domain, closed domain, significantprobability and non-significant probability, and points out that theimplementation in open domain and significant probability scene is the key ofAI, and a cognitive probability model combining bidirectional conditionalprobability, probability passing and superposition, probability col-lapse isdesigned; An omnidirectional network matching-growth algorithm system driven bytarget and probability is designed to realize the integration of parsing,generating, reasoning, querying, learning and so on; The principle of cognitivenetwork optimization is proposed, and the basic framework of Cognitive NetworkLearning algorithm (CNL) is designed that structure learning is the primarymethod and parameter learning is the auxiliary. The logical similarity ofimplementation between DC Net model and human intelligence is analyzed in thispaper.

AI Centered on Scene Fitting and Dynamic Cognitive Network