I am pleased to announce a new Special Issue in AI Chemistry entitled "Artificial Intelligence in Spectroscopic Techniques: From Data Processing to Discovery". Spectroscopic techniques—including Raman, IR, UV–Vis, NMR, XPS, and mass spectrometry—generate rich, high-dimensional datasets that play central roles in chemistry, biology, environmental science, and materials research. At the same time, spectral analysis continues to face major challenges in noise reduction, feature extraction,...

The University of Georgia hosted a one-day workshop, “Spectroscopy Data and AI: Toward Integrated Research Infrastructure,” on August 21, 2026, bringing together leading researchers in spectroscopy, artificial intelligence, machine learning, data systems, and research cyberinfrastructure to discuss how the scientific community can build shared, trustworthy, and AI-ready spectroscopy data resources. Held at the UGA Center for Continuing Education, the workshop drew 76 participants from 15...

I am pleased to invite you to an upcoming Nanomaterials Webinar exploring the rapidly evolving intersection of spectroscopy, chemometrics, artificial intelligence, and machine learning. 📅 Date: September 15, 2026 ⏰ Time: 9:00 AM EDT | 3:00 PM CEST 🌐 Format: Online 🔗 Information & Registration: https://sciforum.net/event/Nanomaterials-30 Spectral Preprocessing, Chemometrics, and Machine Learning for Nanomaterial-Based Spectroscopy Advances in Raman spectroscopy and surface-enhanced Raman...