TECHNOLOGIES

BrainChip Partners with Celus to Bring Its Neuromorphic Edge AI Processor to the CELUS Design Platform

Strategic collaboration will soon give engineers direct access to BrainChip’s AKD1500 architecture through CELUS’s AI-guided design tools for device design LAGUNA HILLS, Calif. and MUNICH — July 23, 2026 — BrainChip Holdings Ltd. (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of neuromorphic artificial intelligence technology, and CELUS, the industry leader in cloud-based electronics design […]

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Avocado Connect: From Dev Kit to Production for Physical AI Fleets (with Advantech)

In this video, Justin Schneck, CTO and Co-Founder of Peridio, introduces Avocado Connect, the fleet management platform for deploying and operating Avocado OS in production physical AI environments. He explains the gap between building on dev kits like NVIDIA Jetson and running reliable, scalable systems in the field—and how Avocado Connect is designed to bridge

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Device Infrastructure for Physical AI: Introducing Avocado OS

Justin Schneck, CTO and Co-Founder of Peridio, introduces Avocado OS, the company’s modern embedded Linux operating system designed for teams building physical AI devices and products. In this video, Schneck explains how the rise of physical AI has created one of the deepest and most complex software stacks engineering teams have faced—combining embedded Linux, AI

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How Robotic Color Sorting Works: Vision, Classification, and Motion Control from Camera to Gripper.

This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software.   Sorting apples by color sounds simple enough. In fact, it is the kind of project that often produces an impressive demo in a matter of hours. Put a camera above a conveyor, detect red apples,

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Nota AI Demonstration of LLM Acceleration on Mobilint NPU, Optimized with NetsPresso®

Thibault Castells, Research Engineer at Nota AI, demonstrates the company’s latest edge AI technologies at the 2026 Embedded Vision Summit. Specifically, he demonstrates Qwen3-4B running as a real-time LLM Coding Assistant entirely on Mobilint MLA100 NPU, optimized with NetsPresso®. Achieving 179–478ms Time to First Token and 8.5–10.8 tokens per second, the demo proves that high-performance

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Nota AI Demonstration of VLA Robotics on Dragonwing, Enhanced by NetsPresso®

Thibault Castells, Research Engineer at Nota AI, demonstrates the company’s latest edge AI and vision technologies at the 2026 Embedded Vision Summit. Specifically, he demonstrates VLA optimization on Qualcomm Dragonwing™ IQ-9075, powered by NetsPresso®. Using an Action Head-only optimization approach, Nota AI achieves 7x faster Action Head speed (218ms → 31ms) and 1.6x faster end-to-end

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NCore: An Open-Source Multi-Sensor Data Platform for Neural 3D Reconstruction and Physical AI

NCore’s interactive 3D viewer showing camera frustums with images, lidar point clouds, 3D cuboid bounding boxes, and rig trajectory from an autonomous vehicle sequence.   This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Autonomous vehicles, robotics, and broader physical AI research all depend on multi-sensor recordings—cameras,

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Nota AI Demonstration of NetsPresso® Agentic Optimization Platform

Thibault Castells, Research Engineer at Nota AI, demonstrates the company’s latest edge AI and vision technologies at the 2026 Embedded Vision Summit. Specifically, Castells demonstrates newly updated NetsPresso®, Nota AI’s AI model optimization platform, which now features an agentic optimization loop that automates the entire optimization pipeline. NetsPresso® supports optimization across edge and server environments,

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NAMUGA Demonstration of the Stella120 and 180 – Wide-Angle Solid-State LiDAR Modules

Arthur You, Global Sales Manager at NAMUGA, demonstrates the company’s LiDAR: Stella120 and 180 wide-angle solid-state LiDAR modules at the 2026 Embedded Vision Summit. The demonstration showcases long-range sensing capabilities, wide field-of-view coverage and high-resolution environmental perception enabled by NAMUGA’s solid-state LiDAR technology. Designed for next-generation robotics, smart mobility, and industrial automation applications, the modules

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Product Engineering Trends 2026

The next era of product engineering will be defined by 10 shifts reshaping industry leadership   This article was originally published at HCLTech’s website. It is reprinted here with the permission of HCL Tech. At HCLTech, we believe product engineering has entered a more consequential era; an environment where AI, compute, energy, resilience, regulation and sovereignty

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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.

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Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

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Phone: +1 (925) 954-1411
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