Processors

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

Algorithms, NVIDIA, Processors, Robotics, Software, Tools /

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 […]

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

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

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

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

Algorithms, AMD, Processors, Software, Summit 2025, Tools, Videos /

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

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

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

Algorithms, AMD, Processors, Software, Summit 2025, Tools, Videos /

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

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

Learn to Optimize Stable Diffusion on Qualcomm Cloud AI 100

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. 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

Learn to Optimize Stable Diffusion on Qualcomm Cloud AI 100 Read More +

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

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

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

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

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

Algorithms, Cadence, Object Identification, Object Tracking, Processors, Sensors and Cameras, Software, Summit 2025, Tools, Videos /

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 plays an increasingly important role in

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

BrainChip Launches Akida Cloud for Instant Access to Latest Akida Neuromorphic Technology

BrainChip, News, Processors, Tools /

Aligns with BrainChip’s long-term strategy to accelerate customer access to its innovations and reduce development cycles 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 launch of the BrainChip Developer Akida Cloud, a new cloud-based access point

BrainChip Launches Akida Cloud for Instant Access to Latest Akida Neuromorphic Technology Read More +

Optimizing LLMs for Performance and Accuracy with Post-training Quantization

Algorithms, Articles, NVIDIA, Processors, Software, Tools /

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Quantization is a core tool for developers aiming to improve inference performance with minimal overhead. It delivers significant gains in latency, throughput, and memory efficiency by reducing model precision in a controlled way—without requiring retraining. Today, most models

Optimizing LLMs for Performance and Accuracy with Post-training Quantization Read More +

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.

Pages

Topics

Contact

Address

Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

Phone
Phone: +1 (925) 954-1411
Scroll to Top