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AI-Based Neural Networks Revolutionize Infrared Spectra Analysis
May 13th 2024A Researcher from Lomonosov Moscow State University has developed a convolutional neural network (CNN) model for Fourier transform infrared (FT-IR) spectra recognition. This AI-based system is capable of classifying 17 functional groups and 72 coupling oscillations with remarkable accuracy, providing a significant boost to material analysis in fields like organic chemistry, materials science, and biology.
Exum Instruments and Edge Scientific Partner to Distribute Exum’s LALI-TOF-MS Technology in Canada
May 10th 2024Exum Industries, producers of the first laser ablation laser ionization time of flight mass spectrometer (LALI-TOF-MS), announced a partnership with Edge Scientific to better promote and distribute their products.
New Near-Infrared Machine Learning Technique Identifies Dangerous Blood for Transfusion Safety
May 6th 2024Researchers in China have developed a cutting-edge machine learning approach that can detect chylous blood in blood intended for transfusion with more than 90% accuracy. This development promises to significantly reduce the risks associated with blood transfusions and improve the efficiency of blood donation centers.