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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.
New Probes for NIR Monitoring of Polymer Injection Molding Composition in Real-Time
May 2nd 2024Researchers from Kyoto University and Japan's National Institute of Advanced Industrial Science and Technology have developed innovative probes to monitor the chemical composition of biodegradable polymer blends during injection molding. This breakthrough could lead to improved production efficiency and reduced waste in the polymer industry.