Brian Dipert

Maximize Robotics Performance by Post-training NVIDIA Cosmos Reason

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. First unveiled at NVIDIA GTC 2025, NVIDIA Cosmos Reason is an open and fully customizable reasoning vision language model (VLM) for physical AI and robotics. The VLM enables robots and vision AI agents to reason using prior […]

Maximize Robotics Performance by Post-training NVIDIA Cosmos Reason Read More +

“Introduction to Shrinking Models with Quantization-aware Training and Post-training Quantization,” a Presentation from NXP Semiconductors

Robert Cimpeanu, Machine Learning Software Engineer at NXP Semiconductors, presents the “Introduction to Shrinking Models with Quantization-aware Training and Post-training Quantization” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Cimpeanu explains two neural network quantization techniques, quantization-aware training (QAT) and post-training quantization (PTQ), and explain when to… “Introduction to Shrinking Models with

“Introduction to Shrinking Models with Quantization-aware Training and Post-training Quantization,” a Presentation from NXP Semiconductors Read More +

Advanced Packaging Fuels Transformation in Back-end Equipment: TCB and Hybrid Bonding to Lead $1.3 Billion Market Expansion 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 releases the first edition of its Status of the Back-End Equipment Industry Report, offering a strategic outlook on the semiconductor market. KEY TAKEAWAYS 2025-2030 period: The global back-end equipment market

Advanced Packaging Fuels Transformation in Back-end Equipment: TCB and Hybrid Bonding to Lead $1.3 Billion Market Expansion by 2030 Read More +

Implementing Multimodal GenAI Models on Modalix

This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. It has been our goal since starting SiMa.ai to create one software and hardware platform for the embedded edge that empowers companies to make their AI/ML innovations come to life. With the rise of Generative AI already

Implementing Multimodal GenAI Models on Modalix Read More +

“Customizing Vision-language Models for Real-world Applications,” a Presentation from NVIDIA

Monika Jhuria, Technical Marketing Engineer at NVIDIA, presents the “Customizing Vision-language Models for Real-world Applications” tutorial at the May 2025 Embedded Vision Summit. Vision-language models (VLMs) have the potential to revolutionize various applications, and their performance can be improved through fine-tuning and customization. In this presentation, Jhuria explores the concept… “Customizing Vision-language Models for Real-world

“Customizing Vision-language Models for Real-world Applications,” a Presentation from NVIDIA Read More +

XR Tech Market Report

Woodside Capital Partners (WCP) is pleased to share its XR Tech Market Report, authored by senior bankers Alain Bismuth and Rudy Burger, and by analyst Alex Bonilla. Why we are interested in the XR Ecosystem Investors have been pouring billions of dollars into developing enabling technologies for augmented reality (AR) glasses aimed at the consumer market,

XR Tech Market Report Read More +

The Chiplet Consolidation Wave: How Strategic Acquisitions are Shaping the Future of Silicon

The Disaggregation of the Monolith: A New Paradigm Forged by AI’s Demands The semiconductor industry is navigating its most significant architectural shift in decades, a transition compelled by the relentless demands of Generative AI. The monolithic System-on-Chip (SoC), the reigning paradigm for half a century, is fracturing under the weight of exponentially growing AI models

The Chiplet Consolidation Wave: How Strategic Acquisitions are Shaping the Future of Silicon Read More +

Boosting Data Quality: Simulation-based vs. Generative AI Synthetic Data Generation

This blog post was originally published at Geisel Software’s Symage website. It is reprinted here with the permission of Geisel Software. Imagine you’re tasked with boosting data quality for your AI model. You’re at a crossroads, faced with two distinct paths for generating synthetic image data. On one side, there’s Generative AI—fast, adaptable, and capable

Boosting Data Quality: Simulation-based vs. Generative AI Synthetic Data Generation Read More +

“An Introduction to the MIPI CSI-2 Image Sensor Standard and Its Latest Advances,” a Presentation from the MIPI Alliance

Haran Thanigasalam, Camera and Imaging Systems Consultant for the MIPI Alliance, presents the “Introduction to the MIPI CSI-2 Image Sensor Standard and Its Latest Advances” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Thanigasalam provides an overview of the MIPI CSI-2 image sensor interface standard, covering its… “An Introduction to the MIPI

“An Introduction to the MIPI CSI-2 Image Sensor Standard and Its Latest Advances,” a Presentation from the MIPI Alliance Read More +

Scaling the Silicon: Why GPUs are Leading the AI Data Center Boom

AI data centers and cloud computing are demanding strong investment from countries all over the world. The word “Sovereign AI” has become popular with countries building out their own AI infrastructure, and AI data centers are now even being called “AI Factories.” With the rising prevalence of these data centers, the accelerated computing chips needed

Scaling the Silicon: Why GPUs are Leading the AI Data Center Boom 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