The DIY Revolution: ETH Zurich’s CyberRunner – A Breakthrough in Robotics for Everyone
The research team at ETH Zurich has achieved a groundbreaking success in the field of...
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Tag: open source
AI Pipeline – AI Pipeline Image App Setup and Operation Part 1-2
In the previous chapter, you learned about the SWAGGER API, which can be used to test the neural...
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AI Pipeline – Tensorflow Object Detection Training GUI – SWAGGER API testing the neural network
After the previous article explained how to train a neural network with your own training data,...
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AI Pipeline – Tensorflow Object Detection Training GUI – Usage
In the previous article you have configured and installed the Training Suite on your computer. In...
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AI Pipeline – Tensorflow Object Detection Training GUI Run
The BMW Tensorflow Object Detection Training GUI is already installed on your computer and you...
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AI Pipeline – Tensorflow-Object-Detection-Training-GUI Installation
The BMW Tensorflow Object Detection Training GUI is the heart of the No-Code AI pipeline. It is...
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AI Pipeline – Labeltool Lite Handling
This article is about how to use the Labeltool Lite. In the previous article you have prepared the...
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AI Pipeline – Labeltool Lite Preparation
After the successful installation of the Labelingtool Lite, as described in the previous article,...
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AI Pipeline – Labeltool Lite Installation
After you have updated your Ubuntu installation and installed the additional software packages, it...
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AI Pipeline – Software Installation of the No-Code AI Pipeline
After you have already worked through the introduction to the topic of which hardware do I need...
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AI Pipeline – Hardware Example Configurations
With the first part around the topic hardware now follows the second part which presents concrete...
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AI Pipeline – Hardware Basics
The knowledge and hardware requirements for using the No-Code AI pipeline are not particularly...
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- Automating Enchanted Children’s Stories with AI & n8n
Imagine receiving a beautifully crafted children’s story by email—complete with vivid chapter illustrations and even a product recommendation that fits the tale perfectly. At AI-Box, we’re excited to share how our innovative n8n workflow turns this vision into reality. A Workflow That Writes, Illustrates, and Markets Our solution harnesses the power of multiple AI tools… Read more: Automating Enchanted Children’s Stories with AI & n8n - NVIDIA’s RTX 5090 Performance Issue: Missing Render Units Discovered
NVIDIA’s Blackwell GPUs are currently facing significant issues due to a hardware defect that results in missing Render Output Units (ROPs), which negatively impacts gaming performance. This problem has been reported across various models, with the RTX 5090 being particularly affected. Customers are advised to check their ROP count using tools like GPU-Z or HWiNFO… Read more: NVIDIA’s RTX 5090 Performance Issue: Missing Render Units Discovered - Email-to-Art: Automate AI Image Generation with n8n, ComfyUI & FLUX.1-dev
Imagine receiving an email and having it magically transformed into a vibrant piece of AI-generated artwork—all in under a minute! In this post, I’ll share how I built a no-code workflow that uses n8n, ComfyUI, and FLUX.1-dev to turn a simple email into stunning digital art. Whether you’re into automation, AI art, or simply exploring… Read more: Email-to-Art: Automate AI Image Generation with n8n, ComfyUI & FLUX.1-dev - How to Install and Use OpenAI’s Whisper Locally for Automatic Transcription and Translation
Imagine having an effortless way to convert your favorite podcasts, YouTube videos, or conference recordings into readable text—or instantly translate them from one language to another without lifting a finger. Whether you’re a content creator, researcher, or simply someone looking to save time, OpenAI’s Whisper is a game-changer. Whisper excels at automatic translation and transcription… Read more: How to Install and Use OpenAI’s Whisper Locally for Automatic Transcription and Translation - Real-Time Landmine Detection: Robotic Integration of FLIR Camera Module, RGB Camera, and YOLO Neural Network
The first robot which I used to search for land mines / metal in the ground was build 2015 by myself in my workshop. In 2023 I started with the training of neural nets to detect anti-personal land mines like the PFM-1. Then I paused the project and restarted it in April 2024 after beeing… Read more: Real-Time Landmine Detection: Robotic Integration of FLIR Camera Module, RGB Camera, and YOLO Neural Network
This works using an very old laptop with old GPU >>> print(torch.cuda.is_available()) True >>> print(torch.version.cuda) 12.6 >>> print(torch.cuda.device_count()) 1 >>>…
Hello Valentin, I will not share anything related to my work on detecting mines or UXO's. Best regards, Maker
Hello, We are a group of students at ESILV working on a project that aim to prove the availability of…