Brian Dipert

SiMa.ai Next-Gen Platform for Physical AI in Production

Modalix in Production, Now Shipping SoM Pin-Compatible with leading GPU SoM, Dev Kits, and LLiMa for Seamless LLM-to-Modalix Integration SAN JOSE, Calif., August 12, 2025 — SiMa.ai, a pioneer in Physical AI solutions, today is making three significant product announcements to accelerate the scaling of Physical AI. Production and immediate availability of its next-generation Physical […]

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R²D²: Boost Robot Training with World Foundation Models and Workflows from NVIDIA Research

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. As physical AI systems advance, the demand for richly labeled datasets is accelerating beyond what we can manually capture in the real world. World foundation models (WFMs), which are generative AI models trained to simulate, predict, and

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“LLMs and VLMs for Regulatory Compliance, Quality Control and Safety Applications,” a Presentation from Camio

Lazar Trifunovic, Solutions Architect at Camio, presents the “LLMs and VLMs for Regulatory Compliance, Quality Control and Safety Applications” tutorial at the May 2025 Embedded Vision Summit. By using vision-language models (VLMs) or combining large language models (LLMs) with conventional computer vision models, we can create vision systems that are… “LLMs and VLMs for Regulatory

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NVIDIA Opens Portals to World of Robotics With New Omniverse Libraries, Cosmos Physical AI Models and AI Computing Infrastructure

New NVIDIA Omniverse NuRec 3D Gaussian Splatting Libraries Enable Large-Scale World Reconstruction New NVIDIA Cosmos Models Enable World Generation and Spatial Reasoning New NVIDIA RTX PRO Blackwell Servers and NVIDIA DGX Cloud Let Developers Run the Most Demanding Simulations Anywhere Physical AI Leaders Amazon Devices & Services, Boston Dynamics, Figure AI and Hexagon Embrace Simulation and Synthetic Data Generation August 11, 2025—SIGGRAPH—NVIDIA

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Collaborating With Robots: How AI Is Enabling the Next Generation of Cobots

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Collaborative robots, or cobots, are reshaping how we interact with machines. Designed to operate safely in shared environments, AI-enabled cobots are now embedded across manufacturing, logistics, healthcare, and even the home. But their role goes beyond automation—they

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“Simplifying Portable Computer Vision with OpenVX 2.0,” a Presentation from AMD

Kiriti Nagesh Gowda, Staff Engineer at AMD, presents the “Simplifying Portable Computer Vision with OpenVX 2.0” tutorial at the May 2025 Embedded Vision Summit. The Khronos OpenVX API offers a set of optimized primitives for low-level image processing, computer vision and neural network operators. It provides a simple method for… “Simplifying Portable Computer Vision with

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The $2.4 Trillion Crisis: Why Hardware/Software Integration Is Your Most Critical Technical Decision

This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Hardware-software integration isn’t incidental; it can make or break your project. When hardware and software don’t evolve together, even small disconnects can derail timelines, budgets, and trust. Late-stage fixes cost exponentially more. A bug caught

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“Quantization Techniques for Efficient Deployment of Large Language Models: A Comprehensive Review,” a Presentation from AMD

Dwith Chenna, MTS Product Engineer for AI Inference at AMD, presents the “Quantization Techniques for Efficient Deployment of Large Language Models: A Comprehensive Review” tutorial at the May 2025 Embedded Vision Summit. The deployment of large language models (LLMs) in resource-constrained environments is challenging due to the significant computational and… “Quantization Techniques for Efficient Deployment

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August 7, 2025 Edge AI and Vision Alliance Member Briefing Presentations

The PDF files linked to below are the presentations from the August 7, 2025 Edge AI and Vision Alliance Member Briefing sessions. Please be aware that these materials are for Alliance Member company internal use only. August 7, 2025 Edge AI and Vision Alliance Member Briefing (Alliance) August 7, 2025… August 7, 2025 Edge AI

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Learn to Optimize Stable Diffusion on Qualcomm Cloud AI 100

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Dive in to learn how we achieve a 1.4x latency decrease on Qualcomm Cloud AI 100 Ultra accelerators by applying an innovative DeepCache technique to text-to-image generation. What’s more, the throughput can be further improved by 3x

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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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