A new method pairs magnetic molecularly imprinted extraction with machine learning-assisted FTIR spectroscopy to quantify the ...
Human-machine teaming research at the U.S. Air Force Academy helps cadets explore robotics, decision-making and future ...
Near-infrared (NIR) spectroscopy, built on the weak overtone and combination-band absorptions first exploited commercially in ...
A drop of saliva, an infrared spectrometer, and a machine learning algorithm may be enough to flag oral submucous fibrosis, a ...
NASA’s latest triumph, the Nancy Grace Roman Space Telescope, will be unique in dumping 1.4 terabytes of data onto the ...
Global Molecular Spectroscopy Market size is expected to be worth around US$ 13.6 Billion by 2034 from US$ 7.1 Billion in 2024.
Artificial intelligence (AI) has learned to work with language by breaking continuous information into discrete tokens and modeling the relationships among them. A new conceptual framework proposes ...
Raman spectroscopy, unlike infrared, reaches sub-micrometer resolution but is hindered by weak signals and fluorescence ...
Postdoctoral Researcher Applying Machine Learning Methodologies to Predict Spectra of PFAS Compounds
The Material Measurement Laboratory of the National Institute of Standards and Technology (NIST) is seeking qualified persons (U.S. citizens preferred) to apply modern methods in artificial ...
Strong and dangerous substances such as fentanyl have become increasingly common in the illicit drug supply but often go undetected, causing overdoses. Drug checking equipment—namely test strips or ...
When things vibrate, they make sounds. Molecules do too, but at frequencies far beyond human hearing. Chemical bonds stretch, bend, and twist at characteristic rates that fall in the infrared region ...
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