Menopausal Mother Nature

News about Climate Change and our Planet


Artificial intelligence reveals hundreds of millions of trees in the Sahara

(University of Copenhagen) There are far more trees in the West African Sahara and Sahel than most would expect. A combination of artificial intelligence and detailed satellite imagery allowed a team from the University of Copenhagen and international collaborators to count all trees across a 1.3 million km2 area of West Africa.

Study: Green-Energy Sources Not The ‘Panacea’ Climate Alarmists Claim

A study done by Irish and U.S.-based researchers is calling into question the efficacy of renewable energy sources such as wind and solar in dealing with the so-called climate crisis. In fact, the study found that such energy sources are…

Supercomputing study breaks ground for tree mapping, carbon research

A new method for mapping the location and size of trees growing outside of forests helped scientists discover billions of trees in arid and semi-arid regions and lays the groundwork for more accurate global measurement of carbon storage on land.

Supergene discovery leads to new knowledge of fire ants

A unique study conducted by entomologists led to the discovery of a distinctive supergene in fire ant colonies that determines whether young queen ants will leave their birth colony to start their own new colony or if they will join one with multiple queens.

Deep learning artificial intelligence keeps an eye on volcano movements

Radar satellites can collect massive amounts of remote sensing data that can detect ground movements — surface deformations — at volcanoes in near real time. These ground movements could signal impending volcanic activity and unrest; however, clouds and other atmospheric and instrumental disturbances can introduce significant errors in those ground movement measurements. Now, researchers have used artificial intelligence (AI) to clear up that noise, drastically facilitating and improving near real-time observation of volcanic movements and the detection of volcanic activity and unrest.

Machine learning uncovers potential new TB drugs

Using a machine-learning approach that incorporates uncertainty, researchers identified several promising compounds that target a protein required for the survival of the bacteria that cause tuberculosis.