industry news
Subscribe Now

Imagimob’s visual Graph UX revolutionizes Machine Learning modeling on the Edge

Munich, Germany – 16 January 2024 – Imagimob, an Infineon Technologies AG (FSE: IFX / OTCQX: IFNNY) company, updates its Imagimob Studio. Users can now visualize their machine learning (ML) modeling workflows and leverage advanced capabilities to develop edge device models better and faster. The latest release of Imagimob’s development platform for AI/ML on edge devices includes the roll-out of a major user experience upgrade. The all-new Graph UX interface is designed to bring greater ease and clarity to the ML modeling process while offering advanced new capabilities such as built-in data collection and real-time model evaluation for Infineon hardware.

“What we’ve done here is represent ML projects in a way that makes more sense to users and gives them more freedom to operate,” said Alexander Samuelsson, CTO of Imagimob. “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. Moving over to the Graph UX and its capable ML backend is a big change for us and our users. We are taking a holistic approach to ML modeling which, in our industry, is unique.”

A vast improvement to the Imagimob Studio UX

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. In addition to making it easier to work more efficiently as a team, Graph UX makes ML modeling projects more accessible to team members with varying skill sets and experience levels thanks to the ability to work at different levels of complexity and abstraction all in the same workspace.

Imagimob Studio’s Graph UX update not only enhances user-friendliness but brings a collection of new capabilities to the ML design process. These include:

  • Built-in data collection
  • Real-time model evaluation
  • Ability to evaluate and run multiple models in parallel or in sequence
  • Post-processing of model outputs.

Support for Infineon boards is now available right out of the box, and support for more hardware will be added soon. Users can also integrate their own hardware. Furthermore, Graph UX supplies a vital foundation for cutting-edge industry developments such as advanced models and hardware with multiple accelerators and processing units, like Infineon’s newly launched PSoC™ Edge.

Availability

Imagimob Studio’s Graph UX update is now live. It is available to new users who download Imagimob Studio, and the update is automatic for existing users. 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. More information is available at www.imagimob.com/studio.

About Imagimob

Imagimob is a fast-growing startup driving innovation at the forefront of Edge AI and tiny machine learning, enabling the intelligent products of the future. Based in Stockholm, Sweden, the company has been serving global customers within the automotive, manufacturing, healthcare, and lifestyle industries since 2013. In 2020, Imagimob launched the platform Imagimob Studio for the swift and easy end-to-end development of Edge AI applications for devices with constrained resources. Imagimob Studio guides and empowers users throughout the entire development journey, resulting in game-changing productivity and faster time-to-market. And with the newly launched Ready Models, Edge AI can be implemented quickly and easily. Tirelessly dedicated to staying on top of the latest research, Imagimob is a market leader within AI and embedded technologies. Since May 2023, Imagimob is part of Infineon. More information is available at www.imagimob.com.

About Infineon

Infineon Technologies AG is a global semiconductor leader in power systems and IoT. Infineon drives decarbonization and digitalization with its products and solutions. The company has around 58,600 employees worldwide and generated revenue of about €16.3 billion in the 2023 fiscal year (ending 30 September). Infineon is listed on the Frankfurt Stock Exchange (ticker symbol: IFX) and in the USA on the OTCQX International over-the-counter market (ticker symbol: IFNNY).

Leave a Reply

featured blogs
Nov 12, 2024
The release of Matter 1.4 brings feature updates like long idle time, Matter-certified HRAP devices, improved ecosystem support, and new Matter device types....
Nov 7, 2024
I don't know about you, but I would LOVE to build one of those rock, paper, scissors-playing robots....

featured video

Introducing FPGAi – Innovations Unlocked by AI-enabled FPGAs

Sponsored by Intel

Altera Innovators Day presentation by Ilya Ganusov showing the advantages of FPGAs for implementing AI-based Systems. See additional videos on AI and other Altera Innovators Day in Altera’s YouTube channel playlists.

Learn more about FPGAs for Artificial Intelligence here

featured paper

Quantized Neural Networks for FPGA Inference

Sponsored by Intel

Implementing a low precision network in FPGA hardware for efficient inferencing provides numerous advantages when it comes to meeting demanding specifications. The increased flexibility allows optimization of throughput, overall power consumption, resource usage, device size, TOPs/watt, and deterministic latency. These are important benefits where scaling and efficiency are inherent requirements of the application.

Click to read more

featured chalk talk

Vector Funnel Methodology for Power Analysis from Emulation to RTL to Signoff
Sponsored by Synopsys
The shift left methodology can help lower power throughout the electronic design cycle. In this episode of Chalk Talk, William Ruby from Synopsys and Amelia Dalton explore the biggest energy efficiency design challenges facing engineers today, how Synopsys can help solve a variety of energy efficiency design challenges and how the shift left methodology can enable consistent power efficiency and power reduction.
Jul 29, 2024
72,643 views