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.
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.
Imagimob today announced that the Imagimob tinyML platform supports Arduino Nicla Voice, and that it adds fall detection to the Nicla Voice tinyML application portfolio.
Imagimob has implemented the tinyML fall detection application running on Syntiant’s ultra-low-power NDP120 Neural Decision Processor™ and can be seen at Syntiant’s private suite at the Venetian Hotel during CES 2023 in Las Vegas.
Joint Solution Demoed at tinyML EMEA Innovation Forum 2022
Stockholm and Irvine, Calif., October 10, 2022 – Imagimob, a leading provider of tinyML platforms, and Syntiant Corp, an end-to-end AI chip company for always-on edge AI applications, today announced a collaboration to integrate Imagimob’s tinyML platform with Syntiant’s ultra-low-power NDP120 Neural Decision Processo
Imagimob, a leading provider of tinyML platforms, and FotaHub, Inc., a leading provider of firmware and AI model over-the-air update technology, announced a partnership where Imagimob’s tinyML platform will be seamlessly integrated with FotaHub’s cloud-based firmware over-the-air update and provisioning service.
The new release of the Imagimob tinyML platform includes a forever free plan that will enable anyone to start developing tinyML applications. It also includes improvements on the AutoML function for deep learning anomaly detection using autoencoders. The Imagimob tinyML platform was recognized as one of the leading tinyML platforms in a report by ABI Research in June 2022.
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.