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Its an dangerous virus

An MSU laboratory, which specializes in the use of artificial intelligence and big data to discover therapeutics for cancers, switched gears. They developed a process for identifying existing drugs that may be repurposed to fight the SARS-CoV-2 virus.

 widespread seabird and marine mammal mortality 
Many scientists see recent climate-related mass die-offs, including the coral bleaching of the Great Barrier Reef and widespread seabird and marine mammal mortality in the Northeastern Pacific linked to a marine heat wave, as warning signs of impending biodiversity collapse, said lead author Alex Pigot, a biodiversity researcher at University College, London. The new study shows that nowhere on Earth will escape the impacts. 

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A new study shows that as rising heat drives some key species extinct, it will affect other species, as well, in a domino effect.

BY BOB BERWYN, INSIDECLIMATE NEWS

Glaciers are melting, sea levels are rising, cloud forests are dying, and wildlife is scrambling to keep pace. It has become clear that humans have caused most of the past century's warming by releasing heat-trapping gases as we power our modern lives. Called greenhouse gases, their levels are higher now than at any time in the last 800,000 years.


We often call the result global warmi

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Global Change: An Overview
Human population growth and consumption, energy use, land use changes, and pollution are driving forces of global change. How do these factors impact ecological systems and human societies?
 

Launched in April 2006 as a statistical machine translation service, it used United Nations and European Parliament documents and transcripts to gather linguistic data. Rather than translating languages directly, it first translates text to English and then pivots to the target language in most of the language combinations it posits in its grid,[4], with a few exceptions including Catalan-Spanish.[5] During a translation, it looks for patterns in millions of documents to help decide on which words to choose and how to arrange them in the target language. Its accuracy, which has been criticized and ridiculed on several occasions,[6] has been measured to vary greatly across languages.[7] In November 2016, Google announced that Google Translate would switch to a neural machine translation engine - Google Neural Machine Translation (GNMT) - which translates "whole sentences at a time, rather than just piece by piece. It uses this broader context to help it figure out the most relevant translation, which it then rearranges and adjusts to be more like a human speaking with proper grammar".[8] Originally only enabled for a few languages in 2016, GNMT is used in all 109 languages in the Google Translate roster as of 2020, except for Kyrgyz, Latin, and the Belarusian, Maltese and Sundanese to other languages pairs.[9]