Imagimob Upgrades User Experience on Its Development Platform

Jan. 16, 2024
Imagimob’s Graph UX is now more user-friendly, easier for team collaboration, and has new features.

Improvements to the user experience

Per an Imagimob press release, the most recent release of IMAGIMOB Studio includes a huge user experience upgrade. The new Graph UX is designed to make the ML modeling process easier to utilize and understand.

“IMAGIMOB Studio’s new Graph UX allows ML engineering teams to gain a complete visual overview of their modeling canvas, with the ability to zoom in and out and work at different levels of complexity.”

Graph UX helps with team efficiency but also makes ML modeling projects more user friendly for team members with differing skill sets and levels of experience since they can work at various levels of complexity and abstraction all within one workspace.

Alexander Samuelsson, CTO of Imagimob, stated, “Compared to our previous workflow which was more top-down with a fixed pipeline, visualizing the entire workflow as a graph allows for a better overview of your process while unlocking the possibility to combine and test things in new and different ways—and ultimately build better models and accelerate time to market.”

New features of the IMAGIMOB Studio Graph UX

Imagimob’s upgraded Graph UX includes advanced features like built-in data collection, real-time model evaluation, the ability to evaluate and run multiple models in parallel or in sequence, and post-processing of model outputs.

Support for Infineon boards is immediately available and support for more hardware will be available in the near future. Users can also utilize their own hardware if they desire. On top of that, Graph UX provides a foundation for industry developments like advanced models and hardware with more than one accelerator and processing unit, such as Infineon’s new PSoC Edge.

“The first release of Graph UX covers Data collection, Evaluation, and Code Generation. In future releases, the entire end-to-end ML modeling process— including Data management, Data cleaning, Augmentation, and Training—will be available in the same unified workflow.”

About the Author

Serena Aburahma | Associate Editor

Serena Aburahma is a recent graduate from California State University, Northridge receiving a B.A. in Honor's English Literature. Serena has several years of writing and SEO experience, which include creating a variety of content ranging from cars and insurance to video games and pop culture. Much like the content Serena's written about, her interests vary as well, from writing poetry and stories and advocating for mental health, to playing video games, traveling, and reading.

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