A passion for photons
Eric Mottay from h-nu gave two presentations at Photonics West 2026, both on machine learning for laser micro-processing: laser thinning of silicon with ALPhANOV, and a hybrid analytical-machine learning model for ablation prediction.
Eric Mottay from h-nu chaired the Laser Materials Microprocessing track at ICALEO 2025 in Orlando, and gave two presentations on machine learning for silicon thinning and on a hybrid physics and machine learning model for ultrafast laser ablation.
Highlights from the conference included progress in fusion and quantum technologies, developments in AI-driven photonics, and new applications in photonics integrated circuits, medical imaging,…
Highlights from the conference included progress in fusion and quantum technologies, developments in AI-driven photonics, and new applications in photonics integrated circuits, medical imaging,…
Eric Mottay was the General Chair for ICALEO 2024, showcasing significant advancements in laser technology. The conference gathered global experts and provided insights into the integration of AI with laser processing
The Photonics Talents Summer School brings together academics and industrial companies, offering European Master’s and PhD students the opportunity to explore cutting-edge research in photonics. From attoscience to sustainable manufacturing, the program covered cutting-edge topics shaping the future of photonics
This presentation marks Mottay’s first significant conference appearance since his tenure at Amplitude, offering a unique engineer’s perspective on machine learning in laser technology. The talk will focus on how engineers can effectively utilize small datasets alongside physical models to optimize laser micro-processing techniques.
h-nu recently marked its presence at the prestigious AI for Laser Technology Conference in Aachen, showcasing its commitment to innovation in the […]