and CORE cooperate to build AI Chemist – Research

“CORE and are extremely pleased to announce the initiation of a new research collaboration funded by the Norwegian Research Council.

Discovering scientific insights about a specific topic is challenging, particularly in an area like chemistry which is one of the top-five most published fields with over 11 million publications and 307,000 patents. The team at have spent the last 5 years building an award-winning AI engine for scientific text understanding. Their patented algorithms for identifying text similarity, extracting tabular data and creating domain-specific entity representations mean they are world leaders in this domain. 

The AI Chemist project is a collaboration between and The Open University, Oxford University, Trinity College, Dublin and University College, London. CORE is a not-for-profit platform delivered by The Open University in cooperation with Jisc that hosts the world’s largest collection of open access scientific articles. As of February 2022, the CORE dataset provides metadata information (title, author, abstract, publishing year, etc.) for approximately 210 million articles, and the full text for 29.5 million articles.”

Project AIUR by Democratize Science through blockchain-enabled disintermediation

“There are a number of problems in the world of science today hampering global progress. In an almost monopolized industry with terrible incentive misalignments, a radical change is needed. The only way to change this is with a grassroots movement – of researchers and scientists, librarians, scientific societies, R&D departments, universities, students, and innovators – coming together. We need to remove the powerful intermediaries, create new incentive structures, build commonly owned tools to validate all research and build a common Validated Repository of human knowledge. A combination of blockchain and artificial intelligence provides the technology framework, but as with all research, the scientist herself needs to be in the center. That is what we are proposing with Project Aiur, and we hope you will join us….

The outlined core software tool of the community will be the Knowledge Validation Engine (KVE). It will be a fully-fledged technical platform able to pinpoint: ? the building blocks of a scientific text;

? what the reader needs to know to be able to understand the text;

? what are the text’s factual sources; and,

? what is the reproducibility level of the different building blocks.

The platform will take a scientific document in the form of a scientific paper or technical report as an input, and it will provide an analytical report presenting:

? the knowledge architecture of the document;

? the hypotheses tree supporting the presented document’s hypothesis;

? the support level found for each of the hypotheses on the hypotheses tree; and,

? their respective reproducibility. All of this will be based on the knowledge database of scientific documents accessible to the system at any given point in time (knowledge in an Open Access environment). …”