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Imagimob’s Graph UX Interface: Revolutionizing Machine Learning


Imagimob Unveils Graph UX Interface: A Game-Changer in Machine Learning Workflows

Imagimob, an Infineon Technologies AG subsidiary, has rolled out a major upgrade to its artificial intelligence (AI) and machine learning (ML) platform, IMAGIMOB Studio. The update introduces a novel Graph UX interface, offering a visual representation of ML workflows, thereby enhancing the user experience and streamlining the development of edge device models.

Unveiling Graph UX: A Leap Forward in ML Workflows

The new Graph UX interface brings several advanced features to the table. Among these are built-in data collection, real-time model evaluation, and the capacity to run multiple models either simultaneously or sequentially. Such innovations, designed to offer a better overview of the process, grant users greater operational freedom and the ability to handle varying levels of complexity.

Post-Processing and Hardware Compatibility

Adding to its arsenal of features, the Graph UX interface also supports post-processing of model outputs. Moreover, it comes with out-of-the-box support for Infineon boards, laying a robust foundation for future industry advancements. Imagimob plans to expand this hardware compatibility in the future, further increasing the platform’s flexibility and user-friendliness.

A Unique Approach to ML Modeling

Speaking on this groundbreaking upgrade, Imagimob’s CTO, Alexander Samuelsson, underscored the unique nature of this approach to ML modeling. According to Samuelsson, this development forms part of a comprehensive strategy destined to encompass the entire ML modeling process, from data management to training. Samuelsson’s words hint at Imagimob’s commitment to continuous innovation and user-centric design.

The Graph UX update is now live and readily available to new users downloading IMAGIMOB Studio. Existing users, meanwhile, have received this update automatically, ensuring they too can benefit from these enhancements.



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