Digital Twin of the Ocean is a continuously updated virtual counterpart of the real ocean that exchanges data in real time ...

Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance ...

Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...

Machine learning methods have emerged as promising tools to predict antimicrobial resistance (AMR) and uncover resistance determinants from genomic data. This study shows that sampling biases driven ...

Pharmaceutical Separation Science Session Day two of HPLC 2025 concluded with a session on pharmaceutical separations chaired ...

For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...

Thinking Machines Lab Inc. today launched its Tinker artificial intelligence fine-tuning service into general availability.

Forget waiting a week for mold test results. New electronic nose technology detects toxic indoor mold species in just 30 ...

Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...

Machine learning methods have emerged as promising tools to predict antimicrobial resistance (AMR) and uncover resistance determinants from genomic ...

By contrasting nematode infection with drought stress, the study highlights both the potential and limitations of remote sensing for separating ...

The exercise – India’s first fully digital census – will include caste enumeration, deploy around 3 million field ...