Trumpf, a leading manufacturer in laser technology, has forged a partnership with SiMa.ai, a company specializing in embedded edge machine learning systems on chips, to enhance their laser systems with artificial intelligence (AI).
Richard Bannmüller, Chief Technology Officer of Trumpf Laser Technology, and Harald Kröger, SiMa.ai’s head of sales and president of its automotive division, unveiled the AI chip that will drive this collaboration. The partnership aims to integrate AI capabilities into various Trumpf laser systems, which include applications for welding, cutting, marking, and powder metal 3D printing.
“AI holds significant strategic importance for Trumpf. Our knowledge in laser processes and manufacturing enables us to create intelligent software for production. SiMa.ai is the perfect partner as we embark on this important journey towards smart industrial solutions,” stated Bannmüller.
The collaboration leverages the strengths of both companies: Trumpf contributes its extensive experience in laser applications, while SiMa.ai brings its advanced machine learning system on chip (MLSoC) technology.
“The rapid advancement of AI is transforming how industries utilize emerging technologies. SiMa.ai’s robust MLSoC and versatile software, combined with Trumpf’s deep process knowledge, facilitate AI solutions that propel the industry forward,” said Kröger.
SiMa.ai, based in San Jose, California, with a branch in Stuttgart, Germany, employs around 200 individuals. Its edge machine learning applications, powered entirely by its MLSoC, demonstrate a tenfold enhancement in performance and energy efficiency, improving intelligence across various machine learning use cases, from computer vision to generative AI, in mere minutes. Meanwhile, Trumpf has about 90 employees dedicated to AI, focusing on product development.
The collaboration also aims to streamline complex material processing. The integration of efficient AI chips directly into laser systems will enhance the AI-optimized sensor technology, enabling real-time monitoring of laser welding quality by processing over 3,000 images per second.
In the context of electric vehicle production, this technology is expected to revolutionize quality inspections during laser welding, eliminating the need for separate, intricate testing methods. Additionally, battery manufacturers will benefit from real-time quality enhancements, potentially reducing rejection rates and ultimately lowering electric vehicle costs for consumers.
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