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 Tools annual

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 Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

This article provides the motivation and overview of the Collective Knowledgeframework (CK or cKnowledge). The CK concept is to decompose research projectsinto reusable components that encapsulate research artifacts and provideunified application programming interfaces (APIs), command-line interfaces(CLIs), meta descriptions and common automation actions for related artifacts.The CK framework is used to organize and manage research projects as a databaseof such components.  Inspired by the USB "plug and play" approach for hardware, CK also helps toassemble portable workflows that can automatically plug in compatiblecomponents from different users and vendors (models, datasets, frameworks,compilers, tools). Such workflows can build and run algorithms on differentplatforms and environments in a unified way using the universal CK programpipeline with software detection plugins and the automatic installation ofmissing packages.  This article presents a number of industrial projects in which the modular CKapproach was successfully validated in order to automate benchmarking,auto-tuning and co-design of efficient software and hardware for machinelearning (ML) and artificial intelligence (AI) in terms of speed, accuracy,energy, size and various costs. The CK framework also helped to automate theartifact evaluation process at several computer science conferences as well asto make it easier to reproduce, compare and reuse research techniques frompublished papers, deploy them in production, and automatically adapt them tocontinuously changing datasets, models and systems.  The long-term goal is to accelerate innovation by connecting researchers andpractitioners to share and reuse all their knowledge, best practices,artifacts, workflows and experimental results in a common, portable andreproducible format at https://cKnowledge.io .

philosophical transactions - royal society. mathematical, physical and engineering sciences/philosophical transactions - royal society. mathematical, physical and engineering sciences

Collective Knowledge: organizing research projects as a database of reusable components and portable workflows with common APIs