Brian Dipert

NVIDIA Holoscan Sensor Bridge Empowers Developers with Real-time Data Processing

Algorithms, Blog Posts, NVIDIA, Processors, Sensors and Cameras, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. In the rapidly evolving robotics and edge AI landscape, the ability to efficiently process and transfer sensor data is crucial. Many edge applications are moving away from single-sensor fixed-function solutions and in favor of diverse sensor arrays. […]

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“How to Right-size and Future-proof a Container-first Edge AI Infrastructure,” a Presentation from Avassa and OnLogic

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Carl Moberg, CTO of Avassa, and Zoie Rittling, Business Development Manager at OnLogic, co-present the “How Right-size and Future-proof a Container-first Edge AI Infrastructure” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Moberg and Rittling provide practical guidance on overcoming key challenges in deploying AI at the… “How to Right-size and Future-proof

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AI On Board: Near Real-time Insights for Sustainable Fishing

Algorithms, Articles, Object Identification, Object Tracking, Software, Tools, Tryolabs /

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Marine ecosystems are under pressure from unsustainable fishing, with some populations declining faster than they can recover. Illegal, unreported, and unregulated (IUU) fishing further contributes to the problem, threatening biodiversity, economies, and global seafood supply chains. While many

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“Image Tokenization for Distributed Neural Cascades,” a Presentation from Google and VeriSilicon

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Derek Chow, Software Engineer at Google, and Shang-Hung Lin, Vice President of NPU Technology at VeriSilicon, co-present the “Image Tokenization for Distributed Neural Cascades” tutorial at the May 2025 Embedded Vision Summit. Multimodal LLMs promise to bring exciting new abilities to devices! As we see foundational models become more capable,… “Image Tokenization for Distributed Neural

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Learn about Computer Vision

Blog Posts, Object Identification, Object Tracking, Synetic AI, Tools /

This blog post was originally published at Synetic AI’s website. It is reprinted here with the permission of Synetic AI. Synthetic data is revolutionizing computer vision. Synetic.ai provides an automated platform for generating training datasets that are photorealistic, annotated, and customizable. Computer vision is the process of extracting meaning from images using statistical patterns in

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“Key Requirements to Successfully Implement Generative AI in Edge Devices—Optimized Mapping to the Enhanced NPX6 Neural Processing Unit IP,” a Presentation from Synopsys

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Gordon Cooper, Principal Product Manager at Synopsys, presents the “Key Requirements to Successfully Implement Generative AI in Edge Devices—Optimized Mapping to the Enhanced NPX6 Neural Processing Unit IP” tutorial at the May 2025 Embedded Vision Summit. In this talk, Cooper discusses emerging trends in generative AI for edge devices and… “Key Requirements to Successfully Implement

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AMD Unveils Vision for an Open AI Ecosystem, Detailing New Silicon, Software and Systems at Advancing AI 2025

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Only AMD powers the full spectrum of AI, bringing together leadership GPUs, CPUs, networking and open software to deliver unmatched flexibility and performance Meta, OpenAI, xAI, Oracle, Microsoft, Cohere, HUMAIN, Red Hat, Astera Labs and Marvell discussed how they are partnering with AMD for AI solutions SANTA CLARA, Calif., June 12, 2025 (GLOBE NEWSWIRE) —

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Upcoming Webinar Explores SLAM Optimization for Autonomous Robots

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On July 10, 2025 at 8:00 am PT (11:00 am ET), Alliance Member company eInfochips will deliver the free webinar “GPU-Accelerated Real-Time SLAM Optimization for Autonomous Robots.” From the event page: Optimizing execution time for long-term and large-scale SLAM algorithms is essential for real-time deployments on edge compute platforms. Higher throughput of SLAM output provides

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AI and Computer Vision Insights at CVPR 2025

Algorithms, Blog Posts, Processors, Qualcomm, Software, Tools /

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our papers, demos, workshops and tutorial continue our leadership in generative AI and learning systems At Qualcomm AI Research, we are advancing AI to make its core capabilities — perception, reasoning and action — ubiquitous across devices.

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“Bridging the Gap: Streamlining the Process of Deploying AI onto Processors,” a Presentation from SqueezeBits

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Taesu Kim, Chief Technology Officer at SqueezeBits, presents the “Bridging the Gap: Streamlining the Process of Deploying AI onto Processors” tutorial at the May 2025 Embedded Vision Summit. Large language models (LLMs) often demand hand-coded conversion scripts for deployment on each distinct processor-specific software stack—a process that’s time-consuming and prone… “Bridging the Gap: Streamlining the

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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