SensiML Corporation announced that it has launched an Open Source Initiative to accelerate the adoption of TinyML smart sensing IoT applications. The initiative builds upon SensiML’s existing efforts to design flexibility, transparency, and efficiency into its product suite by giving developers control and insight over vital aspects of their ML workflow, tools, data, and resulting […]
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AI development tools now packaged with ARM Core development board
SensiML Corporation announced that its SensiML Analytics Toolkit is now integrated with the QuickLogic QuickFeather Development Kit, featuring a small form factor board which enables the next generation of low-power, machine learning IoT devices. The QuickFeather kit is based on a 100% open source development environment and includes QuickLogic’s EOS S3 low-power SoC with an […]
AI toolkit works with MCU open-source neural network inference engine
SensiML Corporation announced that its SensiML Analytics Toolkit now seamlessly integrates with Google’s TensorFlow Lite for Microcontrollers. Developers working with Google’s TensorFlow Lite for Microcontrollers open source neural network inference engine now have the option to leverage SensiML’s powerful automated data labeling and preprocessing capabilities to reduce dataset errors, build more efficient edge models, and do […]
AI development tool supports MCU IoT algorithms
SensiML Corporation announced that its SensiML Analytics Toolkit now supports AI-based sensor algorithms running on the STEVAL-MKSBOX1V1 SensorTile.Box IoT kit from STMicroelectronics. This announcement builds on SensiML’s previous support of SensorTileV1 announcement in early January that the company had joined the STMicroelectronics Partner Program, enabling the two organizations to work together towards delivering complete AI-based […]
