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 +
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 explains when to… “Introduction to Shrinking Models with
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
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 +
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
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
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 +
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
This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. The AI landscape is undergoing a monumental shift. After a decade where AI flourished in the cloud, scaled by hyperscalers, we are now entering the era of Physical AI. Physical AI is poised to touch every facet
The Era of Physical AI is Here Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. At Qualcomm Technologies, we’ve long believed that AI assistants will be ubiquitous, personal and on-device. Today, we’re excited to share a major milestone in that journey: OpenAI has open-sourced its first reasoning model, gpt-oss-20b, a chain-of-thought reasoning
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.
Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596
