TECHNOLOGIES

“Vision-Language Models in Practice: Architecture and Performance,” a Presentation from AMD

Rajy Rawther, PMTS Software Architect at AMD presents “Vision-Language Models in Practice: Architecture and Performance” at the May 2026 Embedded Vision Summit. Unimodal vision systems are powerful but limited when users need flexible queries, richer semantics or reasoning that combines images/video with language. Vision-language models (VLMs) address this gap by… “Vision-Language Models in Practice: Architecture […]

“Vision-Language Models in Practice: Architecture and Performance,” a Presentation from AMD Read More +

What are the Key Engineering Challenges in Autonomous Docking Systems and How are they Solved? (Part 2)

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Designing an ROS 2-based autonomous docking system is only half the story. Deploying it in the real world is another matter entirely. Since real industrial environments don’t cooperate with textbook assumptions, understanding these challenges will help

What are the Key Engineering Challenges in Autonomous Docking Systems and How are they Solved? (Part 2) Read More +

“Small Language Models for Edge AI: Trade-Offs and Quantization in Practice,” a Presentation from AMD

Dwith Chenna, MTS Product Engineer, AI Inference at AMD presents “Small Language Models for Edge AI: Trade-Offs and Quantization in Practice” at the May 2026 Embedded Vision Summit. Large language models are powerful but often impractical for embedded and on-prem systems due to latency, cost, privacy and memory constraints. Small… “Small Language Models for Edge

“Small Language Models for Edge AI: Trade-Offs and Quantization in Practice,” a Presentation from AMD Read More +

Synetic Demonstration of Synthetic Training Data for Computer Vision Edge Case Coverage

David Scott, CEO & Founder at Synetic, makes the case for synthetic training data as the most practical solution to edge case coverage in computer vision at the 2025 Embedded Vision Summit. Real-world data collection is slow, expensive, and structurally unable to capture the rare but critical scenarios — adverse lighting, unusual occlusions, extreme environments

Synetic Demonstration of Synthetic Training Data for Computer Vision Edge Case Coverage Read More +

Seeing the Invisible: How Advanced AFEs Give Robots True Self Awareness

This blog post was originally published at NXP Semiconductors’ website. It is reprinted here with the permission of NXP Semiconductors. If cameras, LiDAR and IMUs are a robot’s eyes and inner ear, then precision analog measurement is its “sense of self”, the quiet awareness of currents, strains and temperatures that tell you how the machine

Seeing the Invisible: How Advanced AFEs Give Robots True Self Awareness Read More +

Yole Group Forecasts Automotive Semiconductor Market Will Double to $160 Billion by 2031

Yole Group has released Automotive Semiconductor Trends 2026, a new market report examining how electrification, advanced driver-assistance systems, centralized computing and software-defined vehicle architectures are reshaping the automotive semiconductor industry. Yole forecasts that the market will more than double from $77 billion in 2025 to $160 billion in 2031, representing a compound annual growth rate

Yole Group Forecasts Automotive Semiconductor Market Will Double to $160 Billion by 2031 Read More +

Synetic Demonstration of the LYNX SDK Beta: Real-Time CV Across Six Platforms in One Call

David Scott, CEO & Founder at Synetic, demonstrates the LYNX SDK beta release at the 2026 Embedded Vision Summit. LYNX returns detection, segmentation, depth, and keypoints simultaneously from a single forward pass, eliminating the need to chain multiple models on constrained edge hardware. David highlights several capabilities shipping in the beta: 3D positioning from a

Synetic Demonstration of the LYNX SDK Beta: Real-Time CV Across Six Platforms in One Call Read More +

Synetic Demonstration of the LYNX Computer Vision SDK and Synthetic Data as a Service Platform

Will Ruffalo, Co-Founder at Synetic, introduces two of the company’s core offerings at the 2026 Embedded Vision Summit: the LYNX computer vision SDK and Synetic’s synthetic data as a service platform. LYNX delivers detection, segmentation, keypoints, and depth in a single inference call, across six platforms, from a single model artifact. Will also demonstrates how

Synetic Demonstration of the LYNX Computer Vision SDK and Synthetic Data as a Service Platform Read More +

Qualitas Semiconductor – From High-Speed Interfaces to Silicon Validation

Qualitas Semiconductor, a leading provider of high-speed semiconductor IP, presents its cutting-edge IP portfolio powering the next generation of SoCs. From advanced interfaces like PCIe Gen6, UCIe 2.0, and MIPI, to silicon-proven PHY designs on advanced process nodes, Qualitas IP enables chip designers to push the boundaries of performance, power efficiency, and time-to-market.  

Qualitas Semiconductor – From High-Speed Interfaces to Silicon Validation Read More +

OpenMV Demonstration of Python-Programmable AI Vision with the N6, AE3, and OpenMV IDE

Kwabena Agyeman, President of OpenMV, demonstrates the company’s latest embedded AI vision technologies and products at the 2026 Embedded Vision Summit. Specifically, Agyeman showcases the OpenMV IDE’s live camera tuning and machine vision development workflow, along with the new OpenMV N6 and OpenMV AE3 AI camera modules. The demonstration highlights how developers can rapidly build,

OpenMV Demonstration of Python-Programmable AI Vision with the N6, AE3, and OpenMV IDE 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