A new platform that uses

A new platform that uses artificial intelligence to determine the authenticity and origin of gemstones is being developed in Switzerland. Gübelin Gem Lab has teamed up with

GEMTELLIGENCE: Accelerating gemstone classification with deep

Here, we propose GEMTELLIGENCE, a novel deep learning approach enabling streamlined and consistent origin determination of gemstone origin and detection of treatments.

Gemtelligence is a new platform

Gübelin uses artificial intelligence. The value of gemstones will be

Gemtelligence - an AI for gemstone analysis - Enterprise Times

Gemtelligence is a new platform created by Gübelin Gem Lab and CSEM. It is using machine learning and AI to determine gemstone authenticity and origin. It is a process that

This paper summarizes the methods

Artificial intelligence was missing and that is why it in September 2025 a collaboration with CSEM, a specialized Swiss company has been announced, to create a project

This paper summarizes the methods and techniques of artificial intelligence applied to intelligent mineral identification based on research, classifying the methods and

Discovering SafeGem Through Artificial Intelligence - Watcher Guru

SafeGem is a compatible high

Gemtelligence - Overview

Discover Artificial Intelligence is an open access journal publishing research covering all aspects of artificial intelligence in theory and application. Indexed in DOAJ, Ei Compendex and SCOPUS.

SafeGem is a compatible high-yield initiation concord blended with endless permanent burn, with a strong vision. SafeGem aims to create an absolute platform that will allow

Robots can now work out the authenticity and origin of gemstones

A Review of Artificial Intelligence Technologies in Mineral - MDPI

Home

This study established an artificial

As a pioneer in this field, Gübelin Gem Lab has teamed with CSEM to automate these processes using machine learning, a key area of artificial intelligence (AI). This new AI approach aims to

This study established an artificial neural network model that consists of standard multilayered, feed-forward, and back-propagation neural networks, and obtained

Feasibility of gem identification using reflectance spectra coupled