Abstract
The inception of Open Science ideology originated with a vision towards advancing the scientific knowledge with the value of availability, accessibility, reusability, and transparency to democratise complete research cycle across all sectors of society irrespective of any class or community has successively coalesced with various vistas of “Open movement” and also outreached its realm from STEM subjects to the universe of disciplines. The advent of Artificial Intelligence (AI) with machine learning (ML) and its specific specialisations like deep learning (DL), reinforcement learning (RL) and genetic algorithms (GA) enunciate an intelligent, expert, and decision support system revolutionises the contemporary technologies to a newfangled one, providing the most powerful discovery engine for analysis, retrieval, transfer of data, hypothesis/metrics generation, and determining research originality open up new opportunities in the domain of Open Science as well as eroding the commercial interests of the enterprises. The chapter, therefore, portrays the symbiosis of Open Science and AI in the canvases of historical antecedents how it evolving progressively, instigates the AI drivers (ML, DL, RL, and GA) and enablers (natural language processing, computer vision, ontology and knowledge graph) practicable in Open Science, evaluate recent Open Science and AI amends of global confederations.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
