Software

Effortless Edge Deployment of AI Models with Digica’s AI SDK (Featuring ExecuTorch)

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 […]

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Build & Deploy AI Vision Models for Windows on Snapdragon: OpenCV Live! Podcast

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.

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Seamless Software Development for Qualcomm Platforms with Qualcomm Visual Studio Code Extension

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

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SiMa.ai and Wind River Collaborate to Enable Seamless AI/ML for Intelligent Edge Applications

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

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Airy3D Announces DepthIQ Support for Qualcomm Dragonwing RB3 Gen 2 and RB5 Platforms

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

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R²D²: Unlocking Robotic Assembly and Contact Rich Manipulation with NVIDIA Research

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This edition of NVIDIA Robotics Research and Development Digest (R2D2) explores several contact-rich manipulation workflows for robotic assembly tasks from NVIDIA Research and how they can address key challenges with fixed automation, such as robustness, adaptability, and

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BrainChip CTO to Present on Architectural Innovation for Low-power AI at the Embedded Vision Summit

May 19, 2025 5:00 PM Eastern Daylight Time–LAGUNA HILLS, Calif.–(BUSINESS WIRE)–BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based neuromorphic AI, today announced that Dr. M. Anthony Lewis, the company’s Chief Technology Officer, will present at the Embedded Vision Summit, taking place May 20–22,

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NVIDIA Launches AI-first DGX Personal Computing Systems With Global Computer Makers

Acer, ASUS, Dell Technologies, GIGABYTE, HP, Lenovo and MSI Build NVIDIA DGX Spark, DGX Station Personal Systems for AI Developers, Researchers and Data Scientists May 18, 2025—COMPUTEX—NVIDIA today announced that Taiwan’s leading system manufacturers are set to build NVIDIA DGX Spark and DGX Station™ systems. Growing partnerships with Acer, GIGABYTE and MSI will extend the

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NVIDIA Powers Humanoid Robot Industry With Cloud-to-robot Computing Platforms for Physical AI

New NVIDIA Isaac GR00T Humanoid Open Models Soon Available for Download on Hugging Face GR00T-Dreams Blueprint Generates Data to Train Humanoid Robot Reasoning and Behavior NVIDIA RTX PRO 6000 Blackwell Workstations and RTX PRO Servers Accelerate Robot Simulation and Training Agility Robotics, Boston Dynamics, Foxconn, Lightwheel, NEURA Robotics and XPENG Robotics Among Many Robot Makers Adopting NVIDIA Isaac COMPUTEX—NVIDIA today announced VIDIA

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Efficient LLaMA-3.2-Vision by Trimming Cross-attended Visual Features

This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. Our method, Trimmed-Llama, reduces the key-value cache (KV cache) and latency of cross-attention-based Large Vision Language Models (LVLMs) without sacrificing performance. We identify sparsity in LVLM cross-attention maps, showing a consistent layer-wise pattern where most

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