Videos

DeGirum Demonstration of Its PySDK Running on BrainChip Hardware for Real-time Edge AI

Stephan Sokolov, Software Engineer at DeGirum, demonstrates the company’s latest edge AI and vision technologies and products in BrainChip’s booth at the 2025 Embedded Vision Summit. Specifically, Sokolov demonstrates the power of real-time AI inference at the edge, running DeGirum’s PySDK application directly on BrainChip hardware. This demo showcases low-latency, high-efficiency performance as a script […]

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BrainChip Demonstration of LLM Inference On an FPGA at the Edge using the TENNs Framework

Kurt Manninen, Senior Solutions Architect at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Van Manninen demonstrates his company’s large language models (LLMs) running on an FPGA edge device, powered by BrainChip’s proprietary TENNs (Temporal Event-Based Neural Networks) framework. BrainChip enables real-time generative AI

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BrainChip Demonstration of Its Latest Audio AI Models in Action At the Edge

Richard Resseguie, Senior Product Manager at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Van Resseguie demonstrates the company’s latest advancements in edge audio AI. The demo features a suite of models purpose-built for real-world applications including automatic speech recognition, denoising, keyword spotting, and

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Humanoid Robots: Players, Technical Overview and Outlook

In the video below, IDTechEx senior technology analyst Yulin Wang talks you through the state-of-play of humanoid robots, covering: A comparison of weight versus payload capabilities of humanoid robots from multiple suppliers Industrial & non-industrial use cases of humanoid robots and the companies developing them A breakdown of key components in humanoid robots Tackling the

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Network Optix Demonstration of How the Company is Powering Scalable Data-driven Video Infrastructure

Tagir Gadelshin, Director of Product at Network Optix, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Gadelshin demonstrates how the company’s latest release, Gen 6 Enterprise, is enabling cloud-powered, event-driven video infrastructure for enterprise organizations at scale. Built on Nx EVOS, Gen 6 Enterprise supports

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Network Optix Demonstration of Seamless AI Model Integration with Nx AI Manager

Robert van Emdem, Senior Director of Data Science at Network Optix, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Van Emdem demonstrates how Nx AI Manager enables seamless deployment of AI models across a wide variety of hardware, including GPU, VPU, and CPU environments. van

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Network Optix Demonstration of Extracting AI Model Data with AI Manager

Marcel Wouters, Senior Backend Engineer at Network Optix, the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Wouters demonstrates how Nx AI Manager simplifies the extraction and use of data from AI models. Wouters showcases a live model detecting helmets and vests on a construction site and

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Network Optix Overview of the Company’s Technologies, Products and Capabilities

Bradley Milligan, North America Sales Coordinator at Network Optix, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Milligan shares how Network Optix is enabling scalable, intelligent video solutions for organizations and industries around the world, including by using Nx EVOS and Nx AI Manager. Learn

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“NPU IP Hardware Shaped Through Software and Use-case Analysis,” a Presentation from Ceva

Yair Siegel, Senior Director for Wireless and Emerging Markets at Ceva, presents the “NPU IP Hardware Shaped Through Software and Use-case Analysis” tutorial at the May 2025 Embedded Vision Summit. True innovation in tiny machine learning (tinyML) emerges from a synergy between software ingenuity, real-world application insights and leading-edge processor IP. In this presentation, Siegel

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“Voice Interfaces on a Budget: Building Real-time Speech Recognition on Low-cost Hardware,” a Presentation from Useful Sensors

Pete Warden, CEO of Useful Sensors, presents the “Voice Interfaces on a Budget: Building Real-time Speech Recognition on Low-cost Hardware” tutorial at the May 2025 Embedded Vision Summit. In this talk, Warden presents Moonshine, a speech-to-text model that outperforms OpenAI’s Whisper by a factor of five in terms of speed. Leveraging this efficiency, he shows

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