AI-based quality monitoring of auto-body weld joints in real time
9 June 2020
Christian Knaak and Peter Abels, of Fraunhofer ILT, explain how imaging and machine learning can be used to identify weld imperfections with high accuracy
Artificial intelligence and machine learning
Artificial intelligence optimises laser processing
24 April 2020
Nikolaus Fecht on how AI is helping move laser systems closer to achieving complete error-free production
Trumpf enables copper additive manufacturing by combining its TruDisk 1020 with its TruPrint systems.
Lasers initiate copper AM take-off
13 March 2020
Optically-driven additive manufacturing is entering uncharted territory with challenging reflective, thermally conductive metals such as copper, finds Andy Extance
The benefits of AI and machine learning in laser processing were discussed by a panel of experts at the show
Powering up in San Fran
21 February 2020
Power increases across multiple laser technologies are set to bring further benefit to materials processing, Matthew Dale learnt at Photonics West
Artificial intelligence and quantum technology to feature at AKL'20
9 December 2019
Forums dedicated to 'Process Control & AI' and 'Quantum technology' will feature in the programme of the 13th AKL 'International Laser Technology Congress'
AI for Laser Technology Conference
In laser technology, machine and sensor data are used to monitor a production process. The ever-advancing transformation of production environments in Industry 4.0 and the cyber-physical systems enables these processes to be analyzed in a simpler, more reliable and synergetic manner in the future.
Thinking lasers
14 March 2019
Dr Ben Mills, an EPSRC early career fellow and senior research fellow for the ORC in Southampton, UK, explains how deep learning could be used to enhance laser processing
