Videos

“Introduction to Simultaneous Localization and Mapping: From Block Diagrams to Real Systems,” a Presentation from eInfochips (an Arrow company)

Amit Gupta, Associate Director–Solution Architecture and Head of Robotics CoE at eInfochips (an Arrow company) presents “Introduction to Simultaneous Localization and Mapping: From Block Diagrams to Real Systems” at the May 2026 Embedded Vision Summit. Simultaneous localization and mapping (SLAM) is the core capability that allows robots and autonomous systems… “Introduction to Simultaneous Localization and […]

“Introduction to Simultaneous Localization and Mapping: From Block Diagrams to Real Systems,” a Presentation from eInfochips (an Arrow company) Read More +

“Understanding Transformers: From LLMs to Context-Aware Multimodal Models,” a Presentation from Synopsys

Tom Michiels, System Architect at Synopsys presents “Understanding Transformers: From LLMs to Context-Aware Multimodal Models” at the May 2026 Embedded Vision Summit. Transformers have become the foundation of modern AI, reshaping how products are built and how businesses operate. In this talk Michiels explains why transformers replaced earlier models, what… “Understanding Transformers: From LLMs to

“Understanding Transformers: From LLMs to Context-Aware Multimodal Models,” a Presentation from Synopsys Read More +

“Exploring Radar SLAM: Advancing Localization and Mapping for Automotive, Robotics and Beyond,” a Presentation from Cadence

Amit Kumar, Director of Product Management and Marketing at Cadence and Amit Sulakhe, Director in the Vision Group at Cadence Pune present “Exploring Radar SLAM: Advancing Localization and Mapping for Automotive, Robotics and Beyond” at the May 2026 Embedded Vision Summit. Reliable localization and mapping are foundational for autonomous vehicles… “Exploring Radar SLAM: Advancing Localization

“Exploring Radar SLAM: Advancing Localization and Mapping for Automotive, Robotics and Beyond,” a Presentation from Cadence Read More +

“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 +

“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 +

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