Measuring conditions in volatile clouds of superheated gases known as plasmas is central to pursuing greater scientific understanding of how stars, nuclear detonations and fusion energy work. For ...
To help reduce the misuse and misunderstanding of current science, scientific research needs to be explained in language the ...
While the latest UK Government report into animal testing was keen to highlight a (very slight) decrease from 2.67 million ...
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Edison may have unknowingly created graphene with his 1879 light bulb
According to new research from Rice University, while Edison’s goal was simply to create a longer-lasting electric lamp, the ...
Synchrotron radiation has revealed a star map made by the ancient astronomer Hipparchus that was thought to be lost to time ...
On 12 December 2025, China's State Administration for Market Regulation (“SAMR”) issued draft guidance on the use of referenced content ...
Pharmacist warns of common atorvastatin side effects that should never be ignored Probe into council housing scandal 'points to mass organised fraud' Michael Flatley in court battle with Lord of the ...
A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.
Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
ABSTRACT: Since its independence, Zimbabwe has developed various education systems that address various post-colonial questions. Still, these education systems have been disputed due to their ...
In the US, more than 90% of corn plants are genetically modified to withstand weed-killing chemicals like glyphosate, to make their own insecticides, or both. For soybeans, over 94% are genetically ...
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