Lynx Roundup, November 23rd 2020

Lynx Roundup, November 23rd 2020

Unexpected scientific insights into COVID-19 from machine learning! Information in micrographs of biological cells! New Spark 3 array functions.

Matthew Alhonte
Matthew Alhonte
Unexpected Scientific Insights into COVID-19 From AI Machine Learning Tool
A team of materials scientists at Lawrence Berkeley National Laboratory (Berkeley Lab) – scientists who normally spend their time researching things like high-performance materials for thermoelectrics or battery cathodes – have built a text-mining tool in record time to help the global scientific co
Coronavirus is revealing the gig economy’s sharp inequalities
The growing outbreak is creating fear and confusion for contractors who lack the protections afforded to permanent employees.
New microscopy technique uncovers previously hidden information in micrographs of biological cells
A new imaging method combined with machine learning uncovers previously hidden information in micrographs of biological cells to reveal quantitative information of gene expression levels.
OLED-power link jumps from useless 50Mb/s to useful 1Gb/s
Tuning tiny OLEDs’ fabrication results in faster switching times.
Mitogen — Mitogen Documentation
New Spark 3 Array Functions (exists, forall, transform, aggregate, zip_with) - MungingData
This post explains how to use the exists, forall, transform, aggregate, and zip_with collection functions that were added to the functions object in Spark 3.


Matthew Alhonte

Supervillain in somebody's action hero movie. Experienced a radioactive freak accident at a young age which rendered him part-snake and strangely adept at Python.