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

Machine learning is used to compute achievable information rates (AIRs) for asimplified fiber channel. The approach jointly optimizes the input distribution(constellation shaping) and the auxiliary channel distribution to compute AIRswithout explicit channel knowledge in an end-to-end fashion.

Achievable Information Rates for Nonlinear Fiber Communication via End-to-end Autoencoder Learning