LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, ...

A clear understanding of the fundamentals of ML improves the quality of explanations in interviews.Practical knowledge of Python libraries can be ...

People and computers perceive the world differently, which can lead AI to make mistakes no human would. Researchers are working on how to bring human and AI vision into alignment.

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

RNA reveals plants' real-time biological response to stress, which occurs long before conventional tools detect problems, ...

In what ways does chromatographic co-elution affect MS2 spectral quality, molecular networking, and the accuracy of ML models trained on MS2 data?

Quiq reports AI automation enhances efficiency by adapting to customer interactions, offering personalized service while ...

Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback ...

Engineers leverage both device-specific and tool-level data to identify a process “sweet spot.” Tight, frequent tool-to-tool matching enables greater yield and fab flexibility. Machine learning helps ...

All major large language models (LLMs) can be used to either commit academic fraud or facilitate junk science, a test of 13 ...

Researchers have developed new methods to test food for bacterial contamination that are faster and do not require expert training. The work is being done at the University of Connecticut College of ...

ASU and Freeport are building robots and sensors to speed copper sorting and shrink processing waste in Arizona.