SEOUL, South Korea and ALAMEDA, CA – May 28, 2025 – Nota AI, a pioneer in on-device AI optimization, and Wind River, a global leader in delivering software for the intelligent edge, have signed a strategic Partner Program Agreement (PPA) to combine Nota AI’s NetsPresso® capabilities into Wind River Studio Developer. “The combination of technologies […]
This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. Delivers real-time AI performance on edge devices such as smartphones, IoT devices, and embedded systems. Introduces a novel “Reuse Attention” technique that minimizes redundant computations in Multi-Head Attention. Achieves competitive accuracy and significant inference speed
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. If you develop facial recognition software, you spend most of your time and effort maximizing performance, accuracy and precision. Your customers expect high performance, even when running on low-power edge devices like point-of-sale (POS) terminals, kiosks and
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The age of video analytics AI agents is here. Video is one of the defining features of the modern digital landscape, accounting for over 50% of all global data traffic. Dominant in media and increasingly important for
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Deploying AI models on mobile and embedded devices is a challenge that goes far beyond just converting a trained model. While frameworks like PyTorch offer a streamlined way to develop deep learning models, efficiently deploying them on
Effortless Edge Deployment of AI Models with Digica’s AI SDK (Featuring ExecuTorch) Read More +
This blog post was originally published at EyePop.ai’s website. It is reprinted here with the permission of EyePop.ai. Want to deploy AI models to the edge without the cloud? On this special LIVE podcast hosted by OpenCV, Andy Ballester and Blythe Towal show how EyePop.ai is enabling real-time, offline inference with Snapdragon NPUs from Qualcomm.
Build & Deploy AI Vision Models for Windows on Snapdragon: OpenCV Live! Podcast Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. To simplify the development of applications for Qualcomm Dragonwing products, Qualcomm Technologies, Inc. has introduced the Qualcomm Visual Studio Code Extension. This innovative extension provides a streamlined, end-to-end environment that enhances your workflow across various tools and
SAN JOSE, CA and ALAMEDA, CA – May 20, 2025 – SiMa.ai, the software-centric and embedded edge machine learning system-on-chip (MLSoC) company, and Wind River, a global leader in delivering software for the intelligent edge, have collaborated on an integrated hardware and software solution for next-generation edge AI. Delivering a convenient and seamless experience for
New project enables enterprises to build, deploy, and manage vision AI pipelines with modular, reusable components SANTA CLARA, Calif. (Embedded Vision Summit, booth #518) – May 21, 2025 – Plainsight, the leader in automated infrastructure for data-centric AI pipelines, today announced the launch of OpenFilter, an open source project that simplifies and accelerates the development,
Plainsight Introduces Open Source OpenFilter for Scalable Computer Vision AI Read More +
Empowering next-generation 3D vision applications in robotics, industrial, and smart devices. Montreal, Canada – May 20th, 2025 – Airy3D, a leader in 3D sensing solutions, today announced that its DepthIQ™ software development kit (SDK) is now supported on the Qualcomm Dragonwing™ RB3 Gen 2 and RB5 platforms. This milestone enables developers and OEMs to easily
Airy3D Announces DepthIQ Support for Qualcomm Dragonwing RB3 Gen 2 and RB5 Platforms Read More +
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