Processors

Simplifying Vision AI Development with Renesas AI Model Deployer Powered by NVIDIA TAO

This blog post was originally published at Renesas’ website. It is reprinted here with the permission of Renesas. Edge AI is no longer a futuristic idea—it’s an essential technology driving today’s smart devices across industries, from industrial automation to consumer IoT applications. But building AI applications at the edge still comes with challenges: complexity with […]

Simplifying Vision AI Development with Renesas AI Model Deployer Powered by NVIDIA TAO Read More +

“ONNX and Python to C++: State-of-the-art Graph Compilation,” a Presentation from Quadric

Nigel Drego, Co-founder and Chief Technology Officer at Quadric, presents the “ONNX and Python to C++: State-of-the-art Graph Compilation” tutorial at the May 2025 Embedded Vision Summit. Quadric’s Chimera general-purpose neural processor executes complete AI/ML graphs—all layers, including pre- and post-processing functions traditionally run on separate DSP processors. To enable… “ONNX and Python to C++:

“ONNX and Python to C++: State-of-the-art Graph Compilation,” a Presentation from Quadric Read More +

Low-power Computer Vision Challenge: Empowering AI Development on Edge Devices

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The Low-Power Computer Vision Challenge (LPCVC) is an annual competition organized by the Institute of Electrical and Electronics Engineers (IEEE) to improve the energy efficiency of computer vision technologies for systems with constrained resources. Established in 2015

Low-power Computer Vision Challenge: Empowering AI Development on Edge Devices Read More +

VeriSilicon Expands DSP Portfolio with Silicon-proven ZSP5000 Vision Core Series for Edge Intelligence

Highly scalable architecture optimized for computer vision and image workloads with extendable instruction set Shanghai, China, June 26, 2025–VeriSilicon (688521.SH) today released the ZSP5000 Digital Signal Processing (DSP) series IPs, which are based on its fifth-generation silicon-proven DSP architecture. This product line adopts a highly scalable and energy-efficient design, and has been deeply optimized for

VeriSilicon Expands DSP Portfolio with Silicon-proven ZSP5000 Vision Core Series for Edge Intelligence Read More +

Strategic Silicon: Geopolitics Is Redirecting Semiconductor Investment

At IDTechEx, we closely track the global semiconductor and computing landscape, spanning advanced silicon nodes, HPC (High Performance Computing) hardware, AI, advanced semiconductor packaging, photonics, and quantum computing. This article examines how geopolitical tensions are redirecting global investments in advanced semiconductor technologies, reshaping the semiconductor supply chain in pursuit of technological sovereignty. The vast majority

Strategic Silicon: Geopolitics Is Redirecting Semiconductor Investment Read More +

“Running Accelerated CNNs on Low-power Microcontrollers Using Arm Ethos-U55, TensorFlow and Numpy,” a Presentation from OpenMV

Kwabena Agyeman, President of OpenMV, presents the “Running Accelerated CNNs on Low-power Microcontrollers Using Arm Ethos-U55, TensorFlow and Numpy” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Agyeman introduces the OpenMV AE3 and OpenMV N6 low-power, high-performance embedded machine vision cameras, which are 200x better than the… “Running Accelerated CNNs on Low-power

“Running Accelerated CNNs on Low-power Microcontrollers Using Arm Ethos-U55, TensorFlow and Numpy,” a Presentation from OpenMV Read More +

Semiconductor Foundry Landscape to Transform by 2030

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Yole Group’s new report, Status of the Semiconductor Foundry Industry, explores the geopolitical, economic, and capacity realignments reshaping the semiconductor foundry industry. KEY TAKEAWAYS: Foundry capacity is forecasted to grow at 4.3%

Semiconductor Foundry Landscape to Transform by 2030 Read More +

R²D²: Building AI-based 3D Robot Perception and Mapping with NVIDIA Research

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Robots must perceive and interpret their 3D environments to act safely and effectively. This is especially critical for tasks such as autonomous navigation, object manipulation, and teleoperation in unstructured or unfamiliar spaces. Advances in robotic perception increasingly

R²D²: Building AI-based 3D Robot Perception and Mapping with NVIDIA Research Read More +

“Scaling i.MX Applications Processors’ Native Edge AI with Discrete AI Accelerators,” a Presentation from NXP Semiconductors

Ali Osman Ors, Director of AI ML Strategy and Technologies for Edge Processing at NXP Semiconductors, presents the “Scaling i.MX Applications Processors’ Native Edge AI with Discrete AI Accelerators” tutorial at the May 2025 Embedded Vision Summit. The integration of discrete AI accelerators with edge processors is poised to revolutionize… “Scaling i.MX Applications Processors’ Native

“Scaling i.MX Applications Processors’ Native Edge AI with Discrete AI Accelerators,” a Presentation from NXP Semiconductors Read More +

Unlocking the Power of Edge AI With Microchip Technology

This blog post was originally published at Microchip Technology’s website. It is reprinted here with the permission of Microchip Technology. From the factory floor to the operating room, edge AI is changing everything. Here’s how Microchip is helping developers bring real-time intelligence to the world’s most power-constrained devices. Not long ago, Artificial Intelligence (AI) lived

Unlocking the Power of Edge AI With Microchip Technology 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.

Contact

Address

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

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