Chemometrics in Spectroscopy ? Linearity in Calibration: Quantifying Nonlinearity, Part II (PDF)

On October 16th from 9:30 am – 9:55 am, Brian Rohrback of Infometrix, Inc. will give a talk about the impact of machine learning on spectrometer calibration and Jesus Acapulco of Analytik Jena will give a talk on using inductively coupled plasma–optical emission spectroscopy (ICP-OES) to determine the composition of water used in fracking. We preview both sessions here.

Some of the most recent articles in data analytics, statistics, machine learning, and artificial intelligence are presented below.

A recent study in beverage analysis showcased the capability of a new electronic tongue (e-tongue) prototype in analyzing liquid samples such as coconut water.

Top articles published this week include a preview of our upcoming “The Future of Forensic Analysis” e-book, a few select offerings from “The Future of Forensic Analysis,” and a news story about next-generation mineral identification.

A recent review article evaluates how artificial intelligence (AI) and machine learning (ML) are being used to assess water quality.

A pioneering study integrates laser-induced breakdown spectroscopy (LIBS) with Raman spectroscopy (RS) and applies machine learning (ML) to achieve exceptional accuracy in mineral identification. The combined approach not only leverages the strengths of both techniques but also enhances classification precision, achieving up to 98.4% accuracy.