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28 PCB007 MAGAZINE I MARCH 2024 able design as part of EECONE. e develop- ment of economical, connected sensors which make do without an external power supply is also part of the research plan, as is the use of data analysis tools to optimise the lifetime of electronic products. New Opportunities to Improve Sustainability Through Digitalisation Digitalisation has indeed opened new opportunities for the semiconductor indus- try. e industry is leveraging digital technol- ogies to improve product development, man- ufacturing, and lifecycle processes. e future of digital transformation in the semiconductor industry is to pursue Industry 4.0 to go beyond chips. Digitalisation offers great opportunities to improve sustainability, and maybe even to help save the planet. PCB007 References 1. "Why digital transformation and non-financial reporting go hand in hand," World Economic Forum, Jan. 9, 2023. 2. "Digital solutions can reduce global emissions by up to 20%. Here's how," World Economic Forum, May 23, 2022. 3. "A guide to your digital carbon footprint—and how to lower it," World Economic Forum, Dec. 9, 2021. 4. "Transparency, Ambition, and Collaboration: Advancing the Climate Agenda of the Semiconduc- tor Value Chain," SEMI. 5. "AT&S achieves climate protection milestone with emissions target," AT&S, March 23, 2023. 6. "Keeping the semiconductor industry on the path to net zero," McKinsey & Company, Nov. 4, 2022. 7. "Sustainability in semiconductor operations: Toward net-zero production," McKinsey & Company, May 17, 2022. Marina Hornasek-Metzl is the senior director of corporate ESG at AT&S. Nano Dimension Ltd. was granted a patent for technology developed by its industrial artificial intelligence (AI) group, DeepCube, that enables better training and optimization of decentral- ized deep learning-based AI models. The U.S. patent addresses one of the core challenges of deploying AI models in the real- world, specifically continuously training mod- els on new data when that data belongs to a customer. In the industry at-large, dealing with new customer data has often been a limita- tion due to sensitivity and confidentiality con- cerns that limit data shareability. The new pat- ent addresses this challenge by ultimately train- ing and improving the AI models on custom- ers' premises, without Nano Dimension having direct access to the new data or model. DeepCube is currently developing an end-to- end AI platform for industrial usage that is not only limited to additive manufacturing. The soft- ware platform is intended to run autonomously on customers' premises, and continuously improve itself, such that the more it is used, the higher the accuracy will become. Nano Dimension's DeepCube alone has 50 patent applications filed, of which 27 have already been granted. These patent applica- tions are filed in eight different jurisdictions, providing a truly global IP protection. (Source: Nano Dimension) Nano Dimension Announces Another Deep Learning AI Patent Granted to its DeepCube Technology