Processors

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

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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

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

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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

Ambarella, Blog Posts, Multimodal, Processors, Robotics /

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

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

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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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Learn to Optimize Stable Diffusion on Qualcomm Cloud AI 100

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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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Texas Instruments Demonstration of Edge AI Inference and Video Streaming Over Wi-Fi

Algorithms, Object Identification, Object Tracking, Processors, Software, Texas Instruments, Tools, Videos /

The demonstration shows how to use Texas Instruments’ AM6xA to capture live video, perform machine learning, and stream video over Wi-Fi. The video is encoded with H.264/H.265, and streamed via UDP over Wi-Fi using the CC33xx. At the receiver side, the video is decoded and displayed on a screen.  The receiver side could be a

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Machine Vision Defect Detection: Edge AI Processing with Texas Instruments AM6xA Arm-based Processors

Algorithms, Industrial Vision (Computer Vision), Object Identification, Object Tracking, Processors, Software, Texas Instruments, Tools, Videos /

Texas Instruments’ portfolio of AM6xA Arm-based processors are designed to advance intelligence at the edge using high resolution camera support, an integrated image sensor processor and deep learning accelerator. This video demonstrates using AM62A to run a vision-based artificial intelligence model for defect detection for manufacturing applications. Watch the model test the produced units as

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“Introduction to Radar and Its Use for Machine Perception,” a Presentation from Cadence

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Amol Borkar, Product Marketing Director, and Vencatesh Subramanian, Design Engineering Architect, both of Cadence, co-present the “Introduction to Radar and Its Use for Machine Perception” tutorial at the May 2025 Embedded Vision Summit. Radar is a proven technology with a long history in various market segments and continues to play an increasingly important role in

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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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