Tag: image analysis

  • Slashdot: Apple’s Upgraded AI Models Underwhelm On Performance

    Source URL: https://apple.slashdot.org/story/25/06/10/1646256/apples-upgraded-ai-models-underwhelm-on-performance?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Apple’s Upgraded AI Models Underwhelm On Performance Feedly Summary: AI Summary and Description: Yes Summary: The text discusses the performance of Apple’s recent AI models in comparison to competitors, revealing that they lag behind those from Google, Alibaba, OpenAI, and Meta. This assessment has implications for the company’s position…

  • Cloud Blog: Multimodal agents tutorial: How to use Gemini, Langchain, and LangGraph to build agents for object detection

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/build-multimodal-agents-using-gemini-langchain-and-langgraph/ Source: Cloud Blog Title: Multimodal agents tutorial: How to use Gemini, Langchain, and LangGraph to build agents for object detection Feedly Summary: Here’s a common scenario when building AI agents that might feel confusing: How can you use the latest Gemini models and an open-source framework like LangChain and LangGraph to create…

  • Simon Willison’s Weblog: qwen2.5vl in Ollama

    Source URL: https://simonwillison.net/2025/May/18/qwen25vl-in-ollama/#atom-everything Source: Simon Willison’s Weblog Title: qwen2.5vl in Ollama Feedly Summary: qwen2.5vl in Ollama Ollama announced a complete overhaul of their vision support the other day. Here’s the first new model they’ve shipped since then – a packaged version of Qwen 2.5 VL which was first released on January 26th 2025. Here are…

  • Cloud Blog: Expanding BigQuery geospatial capabilities with Earth Engine raster analytics

    Source URL: https://cloud.google.com/blog/products/data-analytics/a-closer-look-at-earth-engine-in-bigquery/ Source: Cloud Blog Title: Expanding BigQuery geospatial capabilities with Earth Engine raster analytics Feedly Summary: At Google Cloud Next 25, we announced a major step forward in geospatial analytics: Earth Engine in BigQuery. This new capability unlocks Earth Engine raster analytics directly in BigQuery, making advanced analysis of geospatial datasets derived from…

  • Simon Willison’s Weblog: Quoting Eliot Higgins, Bellingcat

    Source URL: https://simonwillison.net/2025/Apr/26/elliot-higgins/#atom-everything Source: Simon Willison’s Weblog Title: Quoting Eliot Higgins, Bellingcat Feedly Summary: We’ve been seeing if the latest versions of LLMs are any better at geolocating and chronolocating images, and they’ve improved dramatically since we last tested them in 2023. […] Before anyone worries about it taking our job, I see it more…

  • 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…

  • Slashdot: ChatGPT Models Are Surprisingly Good At Geoguessing

    Source URL: https://yro.slashdot.org/story/25/04/17/1941258/chatgpt-models-are-surprisingly-good-at-geoguessing?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: ChatGPT Models Are Surprisingly Good At Geoguessing Feedly Summary: AI Summary and Description: Yes Summary: The text discusses a concerning trend related to the use of OpenAI’s new models, o3 and o4-mini, for deducing locations from images, raising potential privacy issues. The models’ advanced image analysis capabilities combined with…

  • Hacker News: Gemma3 – The current strongest model that fits on a single GPU

    Source URL: https://ollama.com/library/gemma3 Source: Hacker News Title: Gemma3 – The current strongest model that fits on a single GPU Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the features and capabilities of the Gemma 3 models developed by Google, which are built on Gemini technology and designed for multimodal tasks. Their…

  • Slashdot: Google Is Forming a New Team To Build AI That Can Simulate the Physical World

    Source URL: https://tech.slashdot.org/story/25/01/07/0031204/google-is-forming-a-new-team-to-build-ai-that-can-simulate-the-physical-world?utm_source=rss1.0mainlinkanon&utm_medium=feed Source: Slashdot Title: Google Is Forming a New Team To Build AI That Can Simulate the Physical World Feedly Summary: AI Summary and Description: Yes Summary: Google DeepMind is forming a new team focused on developing AI models that simulate the physical world, led by Tim Brooks. This initiative aims to build…