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

We outline emerging opportunities and challenges to enhance the utility of AIfor scientific discovery. The distinct goals of AI for industry versus thegoals of AI for science create tension between identifying patterns in dataversus discovering patterns in the world from data. If we address thefundamental challenges associated with "bridging the gap" between domain-drivenscientific models and data-driven AI learning machines, then we expect thatthese AI models can transform hypothesis generation, scientific discovery, andthe scientific process itself.

Learning from learning machines: a new generation of AI technology to meet the needs of science