Home » Blog » Selection of NIR devices Selection of NIR devices Did you know it’s now possible to PRINT infrared detectors smaller than 10 micrometers? 😮😮 In a recent study by Zhixuan Zhao and Ran An at the National University of Singapore, the team developed pixels using semiconductor nanocrystals, printed layer by layer on…
Home » Blog » 𝗬𝗲𝗿𝗯𝗮 𝗠𝗮𝘁𝗲: 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝗻𝗴 𝗣𝗲𝗼𝗽𝗹𝗲 𝗳𝗼𝗿 𝗠𝗶𝗹𝗹𝗲𝗻𝗻𝗶𝗮 🌿✨ 𝗬𝗲𝗿𝗯𝗮 𝗠𝗮𝘁𝗲: 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝗻𝗴 𝗣𝗲𝗼𝗽𝗹𝗲 𝗳𝗼𝗿 𝗠𝗶𝗹𝗹𝗲𝗻𝗻𝗶𝗮 🌿✨ Delicious, we can’t (and don’t want to) live without it. For many, it has been an integral part of daily life for thousands of years. 𝗬𝗲𝗿𝗯𝗮 𝗺𝗮𝘁𝗲 (𝗜𝗹𝗲𝘅 𝗽𝗮𝗿𝗮𝗴𝘂𝗮𝗿𝗶𝗲𝗻𝘀𝗶𝘀) is a herbal infusion widely consumed in Argentina,…
Home » Blog » ⭐ IS THE SPECTRAL VARIATION CAUSED BY A FACTOR (OR INTERACTION) LARGER THAN THE RESIDUAL VARIABILITY (NOISE)? ⭐ IS THE SPECTRAL VARIATION CAUSED BY A FACTOR (OR INTERACTION) LARGER THAN THE RESIDUAL VARIABILITY (NOISE)? 🔹 What problem is AComDim trying to solve?You have spectral data (NIR, Raman, etc.) collected under a…
Home » Blog » ⚽ Feature Selection in AI: Like Building a Winning Football Team ⚽ Feature Selection in AI: Like Building a Winning Football Team 1 September 2025 When building a machine learning model, not all variables (features) play the same role.Think of it like a football team: each player can decide whether to…
Home » Blog » Revolutionizing Food Safety with AI: Visualizing Hyperparameter Optimization in NIR Spectroscopy! Revolutionizing Food Safety with AI: Visualizing Hyperparameter Optimization in NIR Spectroscopy! https://vibralytics.nl/wp-content/uploads/2026/09/WhatsApp-Video-2025-09-01-at-13.08.08.mp4 This video showcases the optimization process for Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) using Optuna, applied to NIR spectral data with various preprocessing treatments (e.g.,…
Home » Blog » EFFoST 2024 conference in Bruges 🧀✨ EFFoST 2024 conference in Bruges 🧀✨ Thrilled to be presenting at the #EFFoST2024 conference in Bruges, sharing our research on innovative, non-destructive techniques for analyzing cheese! 🧀✨ We analyzed hyperspectral data from all cheese samples, applying diverse pretreatment and feature selection methods, and then training…
