Articles from Edge Impulse

Edge Impulse, the leading platform for building, deploying, and scaling edge machine learning models, and STMicroelectronics (NYSE: STM), a global semiconductor leader serving customers across the spectrum of electronics applications, announce support for the groundbreaking STM32N6 MCU.

Edge Impulse, the leading platform for building, deploying, and scaling edge machine learning models, and an ST Authorized Partner, has entered into a collaboration with ST on industry-leading solutions for practical applications of AI in edge environments.

Edge Impulse, the leading platform for building, deploying, and scaling edge machine learning models, has unveiled a suite of new industry first edge AI tools designed for industrial environments at its fourth annual Imagine conference.

Edge Impulse, the leading platform for building, deploying, and scaling edge machine learning models, today announces Microchip Technology’s SAMA7G54 microprocessor (MPU) is now fully integrated into the Edge Impulse platform. This collaboration marks a significant milestone in advancing edge machine learning capabilities, particularly in camera-based applications.

Edge Impulse, the leading platform for building, refining and deploying machine learning models to edge devices, has launched new capabilities that leverage generative AI to create and manage synthetic data on the edge, from images, to speech, to audio data.

Edge Impulse, the leading platform for building, refining and deploying machine learning models to edge devices, has unveiled a novel technology for unlocking visual anomaly detection on any edge device, from NVIDIA GPUs to Arm MCUs, through the first model architecture of its kind: FOMO-AD (Faster Objects, More Objects - Anomaly Detection).

Edge Impulse, the leading platform for building, refining and deploying machine learning models and algorithms to edge devices, has released a new suite of tools developed on NVIDIA’s Omniverse and AI platforms, bringing state-of-the-art AI models to a previously inaccessible class of devices on the edge, and significantly speeding up the maturation of those models.

Edge Impulse, the leading platform for building, refining and deploying machine learning models and algorithms to edge devices, has launched a direct integration with Arm ® Keil ® MDK that provides easy access to cutting-edge AI and machine learning models and makes it simpler and faster for embedded engineers to collaborate with other cross-disciplinary teams to build edge AI products and bring them to market.

Edge Impulse, a leading platform for building, refining and deploying machine learning models and algorithms to edge devices, has won the 2023 AI TechAward for the Machine Learning Platforms category by the Advisory Board for the AI DevWorld conference.

Edge Impulse, a leading platform for building, refining and deploying machine learning models and algorithms to edge devices, has launched new capabilities for Heart Rate (HR) and Heart Rate Variability (HRV) data processing that outperform existing state-of-the-art algorithms and enable higher accuracy interpreting PPG and ECG sensor outputs.

Edge Impulse, the world's leading AI developer platform, and MemryX, the world's leading AI hardware-based accelerator, together are transforming the AI workflow by streamlining the development, testing, and deployment of AI models.

IAR, the world leader in software and services for embedded development, today announced a commercial partnership with Edge Impulse, the leading edge AI platform provider. The partnership is built on integrations between Edge Impulse’s platform and IAR Embedded Workbench, with full integration between the two products on a workflow level.

Edge Impulse, the leading edge AI platform provider, has announced the speaker lineup for its third annual conference Imagine 2023, which will be held virtually and in person at the Computer History Museum in Mountain View, California, on Wednesday September 27, 2023.

Edge Impulse, a leading provider of edge machine learning development tools, today announced it has joined the Amazon Web Services (AWS) Independent Software Vendor (ISV) Accelerate Program, a co-sell program for AWS. Partners that provides software solutions that run on or integrate with AWS. This will allow Edge Impulse to accelerate innovation in artificial intelligence (AI) at the edge and support the development of new solutions for businesses looking to leverage the power of machine learning.

Edge Impulse, a leading platform for building, refining and deploying machine learning models and algorithms to edge devices, announced today that it has integrated the new NVIDIA TAO Toolkit 5.0 into its edge AI platform.

Infineon Technologies AG (FSE: IFX / OTCQX: IFNNY) today announced it is teaming with Edge Impulse to extend its Tiny Machine Learning-based AI development tools for the PSoC™ 63 Bluetooth® LE microcontroller (MCU). Developers of AI-enabled IoT applications can now also build edge Machine Learning (ML) applications using the Edge Impulse Studio environment for deployment on high-performance, low-power PSoC 63 Bluetooth LE MCUs.