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“NX continues to innovate. NX is the first CAD product to deliver capabilities based on artificial intelligence and machine learning. I see value in the new NX Adaptive User Interface for our causal user, to help them with discoverability and improved productivity,” said Mr. HyunMin Kim, principal engineer, Samsung Electronics Co., LTD.”

Machine learning is increasingly being leveraged in the product design process to provide a competitive advantage. ML can be used to deliver valuable business insights more quickly and efficiently, and it has the power to process, analyze, and learn from large volumes of data. AI and ML can also be used to monitor the actions of the user, and their success and failures, to dynamically determine how to serve up the right NX commands and or modify the interface and leverage learned UI usage knowledge for CAx environment personalization.

“There’s always been a capability-usability tradeoff with CAD applications. The more expansive it gets, the more difficult it is to use and master,” said Chad Jackson, Chief Analyst at Lifecycle Insights. “The Adaptive UI in NX, however, circumvents that issue. It guides users, new and old, to the right functionality at the right time. Many will benefit.”

The Siemens Digital Innovation Platform is continually expanding to enable customers to create the most comprehensive digital twin of the product, the production environment and of the performance of the product. Integrating ML and AI into NX software offers the benefits of speed, power, efficiency and intelligence through learning, without having to explicitly program these characteristics. This offers many opportunities for customers to enhance design process improvement and ultimately their product offerings and reduced time to market. The NX Command Prediction module is the first introduction of the machine learning-enabled NX adaptive user interface architecture to the market, and will be the basis for, and lead to, additional machine learning-driven UI solutions.

“Although extensive research conducted in the field of human-computer interaction has resulted in an excellent static interface, we still lack the perfectly-tailored dynamic interface that can suit all users,” said Bob Haubrock, Senior Vice President, Product Engineering Software at Siemens PLM Software. “The latest version of NX uses machine learning and artificial intelligence to monitor the actions of the user, and their successes and failures, so now we can dynamically determine how to serve the right NX commands or modify the interface to make the individual user more productive. Leveraging this learned-user interface knowledge for CAx environment personalization can help our customers improve overall usage and adoption rates, ultimately leading to a more efficient product development processes.”