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Categories: edge computing

This graph depicts the real-time model evaluation functionality which helps in analyzing and monitoring the model predictions before deploying a model to production.

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

Now IMAGIMOB Studio users can visualize their machine learning modeling workflows and leverage advanced capabilities to develop edge device models better and faster. Imagimob have launched the all-new Graph UX interface, 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.

Edge AI company Imagimob introduces Ready Models—the fastest way to take machine learning to production

Edge AI company Imagimob introduces Ready Models—the fastest way to take machine learning to production

In line with their mission to offer the best and fastest ways to take smart devices to market, Imagimob is now launching IMAGIMOB Ready Models, complete machine learning solutions guaranteed to be robust, high-performing, and production-ready for edge devices. Ready Models can be quickly deployed onto existing MCU hardware without the cost, time, or expertise required for custom development.

Quantization of LSTM layers - a Technical White Paper

Quantization of LSTM layers - a Technical White Paper

This white paper explains what LSTM layers are, why they are important and what the technical solution in Imagimob AI looks like. In Imagimob AI, quantization of a pretrained model is done with the click of a button in a user-friendly graphical user interface, which generates C code without any floating-point operations, ready for deployment.

Imagimob tinyML platform supports quantization of LSTM and other TensorFlow layers

Imagimob tinyML platform supports quantization of LSTM and other TensorFlow layers

Imagimob today announced that its tinyML platform Imagimob AI supports quantization of so-called Long Short-Term Memory (LSTM) layers and a number of other TensorFlow layers. LSTM layers are well-suited to classify, process and make predictions based on time series data, and are therefore of great value when building tinyML applications.

We used a modern tractor from German SDF-Group in the tinyML project

Using tinyML in Agritech

Imagimob has been part of an EU project, together with 55 companies and organisations throughout Europe, to investigate how Edge AI, aka tinyML and cloud services can support companies within connected agriculture; regarding both crop management and livestock.

An edge AI/tinyML company

Imagimob is a fast-growing startup driving innovation at the forefront of Edge AI and tiny machine learning (tinyML), 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 their SaaS Imagimob AI for swift and easy end-to-end development of Edge AI applications for devices with constrained resources, and the newly launched off-the-shelf applications/models can be implemented quickly and easily. Imagimob AI guides and empowers users throughout the entire development journey, resulting in game-changing productivity and faster time-to-market. Tirelessly dedicated to staying on top of the latest research, Imagimob is a market leader within AI and embedded technologies.

In May 2023, Imagimob was acquired by Infineon Technologies AG.

Learn more and sign up to use Imagimob AI at imagimob.com

Imagimob

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118 26 Stockholm
Sverige