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 ...
Tech Xplore on MSN
Improving AI models' ability to explain their predictions
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 ...
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.
Real-world AI for robots is hard and expensive to create. Or is it? Researchers at a UK university just showed us how to teach robots like humans ...
In what ways does chromatographic co-elution affect MS2 spectral quality, molecular networking, and the accuracy of ML models trained on MS2 data?
RNA reveals plants' real-time biological response to stress, which occurs long before conventional tools detect problems, ...
Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback ...
Quiq reports AI automation enhances efficiency by adapting to customer interactions, offering personalized service while ...
All major large language models (LLMs) can be used to either commit academic fraud or facilitate junk science, a test of 13 ...
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 ...
ASU and Freeport are building robots and sensors to speed copper sorting and shrink processing waste in Arizona.
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