Tag: computer vision

  • Simon Willison’s Weblog: Quoting Jason Liu

    Source URL: https://simonwillison.net/2025/Sep/6/jason-liu/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Jason Liu Feedly Summary: I am once again shocked at how much better image retrieval performance you can get if you embed highly opinionated summaries of an image, a summary that came out of a visual language model, than using CLIP embeddings themselves. If you tell…

  • Slashdot: Cornell Researchers Develop Invisible Light-Based Watermark To Detect Deepfakes

    Source URL: https://slashdot.org/story/25/08/12/2214243/cornell-researchers-develop-invisible-light-based-watermark-to-detect-deepfakes?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Cornell Researchers Develop Invisible Light-Based Watermark To Detect Deepfakes Feedly Summary: AI Summary and Description: Yes Summary: Researchers at Cornell University have developed an innovative watermarking system based on coded light, enhancing the detection of deepfakes through a method that requires no special hardware. This system offers a more…

  • Docker: How to Build, Run, and Package AI Models Locally with Docker Model Runner

    Source URL: https://www.docker.com/blog/how-to-build-run-and-package-ai-models-locally-with-docker-model-runner/ Source: Docker Title: How to Build, Run, and Package AI Models Locally with Docker Model Runner Feedly Summary: Introduction As a Senior DevOps Engineer and Docker Captain, I’ve helped build AI systems for everything from retail personalization to medical imaging. One truth stands out: AI capabilities are core to modern infrastructure. This…

  • Simon Willison’s Weblog: Image segmentation using Gemini 2.5

    Source URL: https://simonwillison.net/2025/Apr/18/gemini-image-segmentation/ Source: Simon Willison’s Weblog Title: Image segmentation using Gemini 2.5 Feedly Summary: Max Woolf pointed out this new feature of the Gemini 2.5 series in a comment on Hacker News: One hidden note from Gemini 2.5 Flash when diving deep into the documentation: for image inputs, not only can the model be…

  • Cloud Blog: Next 25 developer keynote: From prompt, to agent, to work, to fun

    Source URL: https://cloud.google.com/blog/topics/google-cloud-next/next25-developer-keynote-recap/ Source: Cloud Blog Title: Next 25 developer keynote: From prompt, to agent, to work, to fun Feedly Summary: Attending a tech conference like Google Cloud Next can feel like drinking from a firehose — all the news, all the sessions, and breakouts, all the learning and networking… But after a busy couple…

  • Slashdot: AlexNet, the AI Model That Started It All, Released In Source Code Form

    Source URL: https://slashdot.org/story/25/03/25/0135244/alexnet-the-ai-model-that-started-it-all-released-in-source-code-form?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: AlexNet, the AI Model That Started It All, Released In Source Code Form Feedly Summary: AI Summary and Description: Yes Summary: The release of the AlexNet source code by the Computer History Museum and Google marks a pivotal moment in AI history, showcasing the foundational work that significantly advanced…

  • Hacker News: Map Features in OpenStreetMap with Computer Vision

    Source URL: https://blog.mozilla.ai/map-features-in-openstreetmap-with-computer-vision/ Source: Hacker News Title: Map Features in OpenStreetMap with Computer Vision Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses Mozilla.ai’s development of the OpenStreetMap AI Helper Blueprint, which utilizes computer vision models to enhance the mapping process while maintaining human verification. This innovation highlights the potential of AI…