International Large-Scale Assessments (ILSAs) serve to monitor and benchmark educational achievements, providing accurate, ...

The platform uses AI-enabled temporal data collection to better understand disease flares and the molecular drivers of treatment response, addressing persistent challenges in autoimmune research. By ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

Author Amine Nefzi distills proven frameworks that enable organizations and professionals perform better today than ...

By applying machine learning to experimental data in materials science, it may be possible to replicate such intuition ...

Huepar, a global leader in high-precision laser levels and measuring tools, recently concluded its strategic milestone event, the "Huepar 2025 China Tour." While titled a tour, this initiative served ...

U.S. job growth likely slowed in December amid business caution about hiring because of import tariffs and rising artificial ...

Early detection of declining forest health is critical for the timely intervention and treatment of droughted and diseased ...

The results of the national programme will provide the largest ever nationwide database of soil nutrients and soil carbon ...

“John Deere is investing heavily in AI research for corn, soybeans, wheat and cotton. Today, with image collection, 6 to 7 ...

MOROGORO: EXPERTS collecting soil samples across the country convened for a workshop aimed at strengthening best sampling practices to support the development of a digital Soil Health Map that will ...

Those arguments have done little to assuage frustration in Alaska’s salmon industry.