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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

. Insights from a geoscience communication activity,verified using preliminary investigations with an artificial neural network,illustrate that observation of humans' abilities can help design aneffective artificial intelligence or “AI”. Even given only one set of“training” examples, survey participants could visually recognize which flowconditions created bedforms (e.g. sand dunes and riverbed ripples) from theirshapes, but an interpreter's geoscience expertise does not help. Together,these observations were interpreted as indicating that a machine learningalgorithm might be trained successfully from limited data, particularly ifit is “helped” by pre-processing bedforms into a simple shape familiar from childhood play.

GC Insights: Identifying conditions that sculpted bedforms – human insights to building an effective AI (artificial intelligence)