When an ecological disaster releases toxins into the environment, extensive sampling and analysis is vital to ensure the health and safety of the people affected. Surface-enhanced vibrational ...

A machine learning model has been developed that makes optical spectroscopy data easier and quicker to interpret. Researchers from Rice University (TX, USA) have developed a new machine learning ...

And unlike traditional machine-learning, assisted-feature extraction in spectroscopy, the new method pinpoints phase transitions based on characteristic spectral features inside an energy gap, making ...

The third PCT family of patenting to emerge from IR Medtek LLC, and its first as the sole named assignee, sees its CEO, Douglas Cohen, continue to build protection for the company’s platform which ...

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy (XAS) is an important technique for this, as it reveals detailed insights ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...