Brian Dipert

Decoding How NVIDIA AI Workbench Powers App Development

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Free tool lets developers experiment with, test and prototype AI applications. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more accessible and showcases new hardware, software, tools […]

Decoding How NVIDIA AI Workbench Powers App Development Read More +

“Implementing Transformer Neural Networks for Visual Perception on Embedded Devices,” a Presentation from VeriSilicon

Shang-Hung Lin, Vice President of Neural Processing Products at VeriSilicon, presents the “Implementing Transformer Neural Networks for Visual Perception on Embedded Devices” tutorial at the May 2024 Embedded Vision Summit. Transformers are a class of neural network models originally designed for natural language processing. Transformers are also powerful for visual perception due to their ability

“Implementing Transformer Neural Networks for Visual Perception on Embedded Devices,” a Presentation from VeriSilicon Read More +

Roadmap to Lower Prices and Higher Volume For Image Sensors

Infra-Red and Hyperspectral Image Sensor Market Sees Technology Roadmap to Lower Prices and Higher Volume Helping to make autonomous vehicles safe with cameras designed for low visibility or ensuring the best crop quality for farmers are just two benefits of short-wave infra-red (SWIR) sensing technologies and highlights their high versatility. SWIR sensors and hyperspectral imaging

Roadmap to Lower Prices and Higher Volume For Image Sensors Read More +

Ceva Extends its Smart Edge IP Leadership, Adding New TinyML Optimized NPUs for AIoT Devices to Enable Edge AI Everywhere

Ceva-NeuPro-Nano NPUs deliver optimal balance of ultra-low power and best performance in small area to efficiently execute TinyML workloads in consumer, industrial and general-purpose AIoT products Ceva-NeuPro Studio complete AI SDK for the Ceva-NeuPro NPU family supports open AI frameworks including TensorFlow Lite for Microcontrollers and microTVM to simplify the rapid development of TinyML enabled

Ceva Extends its Smart Edge IP Leadership, Adding New TinyML Optimized NPUs for AIoT Devices to Enable Edge AI Everywhere Read More +

NAMUGA Expands Strategic AI Partnerships in the U.S. and Japan

Strengthening Global Presence in Vision Solutions and Bio-Medical Sectors June 24, 2024 – NAMUGA Co., Ltd. (190510:KOSDAQ) has announced several new Memorandums of Understanding (MOUs) with leading AI sensor companies in the U.S. and Europe. These agreements are designed to expand the company’s footprint in the fast-growing VR/AR and mobility markets. Breakthrough Innovations in Vision

NAMUGA Expands Strategic AI Partnerships in the U.S. and Japan Read More +

Expedera’s Packet-based AI Processing Architecture: An Introduction

This blog post was originally published at Expedera’s website. It is reprinted here with the permission of Expedera. Most NPUs available today are not actually optimized for AI processing. Rather, they are variations of former CPU, GPU, or DSP designs. Every neural network has varying processing and memory requirements and offers unique processing challenges that

Expedera’s Packet-based AI Processing Architecture: An Introduction Read More +

“Efficiency Unleashed: The Next-gen NXP i.MX 95 Applications Processor for Embedded Vision,” a Presentation from NXP Semiconductors

James Prior, Senior Product Manager at NXP Semiconductors, presents the “Efficiency Unleashed: The Next-gen NXP i.MX 95 Applications Processor for Embedded Vision” tutorial at the May 2024 Embedded Vision Summit. Machine vision is the most obvious way to help humans live better, enabling hundreds of applications spanning security, monitoring, inspection and more. Modern edge processors

“Efficiency Unleashed: The Next-gen NXP i.MX 95 Applications Processor for Embedded Vision,” a Presentation from NXP Semiconductors Read More +

Computing and AI for Automotive: Toward Centralization and Connectivity

This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Chiplets for ADAS & infotainment take off with centralization trends. OUTLINE The ADAS and infotainment processors market, worth US$7.8 billion in 2023, is expected to reach US$16.4 billion by 2029, with a

Computing and AI for Automotive: Toward Centralization and Connectivity Read More +

Exploring the Components of LiDAR

Automotive autonomy has triggered enormous interest in various sensors in assisting data collection for both vehicle and road information. Among them, three-dimensional (3D) light detection and ranging (Lidar), a remote sensing method that uses laser light to measure distances and create precise 3D maps of the surroundings, provides high angular resolution and long detection range

Exploring the Components of LiDAR Read More +

Modernizing Automotive Interfaces

This blog post was originally published at Avnet’s website. It is reprinted here with the permission of Avnet. The MCU is a low-power, flexible and highly integrated device. It has inspired many peripherals, from clocks to timers, as well as data conversion and power management. Most MCUs incorporate plenty of general-purpose interfaces (GPIO), along with

Modernizing Automotive Interfaces 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