This session will cover how to optimize remote sensing data analysis using Ray, Kubeflow, and Google Cloud Platform (GCP). Learn how to leverage distributed computing, orchestration workflows, and xarray for efficient processing of geospatial data from Unmanned Aerial Systems (UAVs), LiDAR (Light Detection and Ranging), and Ground Penetrating Radar (GPR). Attendees will gain practical insights into building scalable, cloud-native pipelines that accelerate data processing and deliver faster, more actionable insights.

Gemini is the most capable and general model Google has ever built. It was built from the ground up to be multimodal, which means it can generalize and seamlessly understand, operate across, and combine different types of information, including text, code, images, and video. This talk dives into the exciting world of Gemini, a cutting-edge foundation model developed by Google. Discover how Gemini seamlessly integrates text and image processing, enabling you to:\n- Analyze and understand the content of images, videos, and audio files\n- Perform cross-modal tasks like image captioning and visual question-answering\n- Explore the potential of multimodality for various applications, from creative content generation to advanced information retrieval.

Gemini is the most capable and general model Google has ever built. It was built from the ground up to be multimodal, which means it can generalize and seamlessly understand, operate across, and combine different types of information, including text, code, images, and video. This talk dives into the exciting world of Gemini, a cutting-edge foundation model developed by Google. Discover how Gemini seamlessly integrates text and image processing, enabling you to:\n- Analyze and understand the content of images, videos, and audio files\n- Perform cross-modal tasks like image captioning and visual question-answering\n- Explore the potential of multimodality for various applications, from creative content generation to advanced information retrieval.

Gemini is the most capable and general model Google has ever built. It was built from the ground up to be multimodal, which means it can generalize and seamlessly understand, operate across, and combine different types of information, including text, code, images, and video. This talk dives into the exciting world of Gemini, a cutting-edge foundation model developed by Google. Discover how Gemini seamlessly integrates text and image processing, enabling you to: - Analyze and understand the content of images, videos, and audio files - Perform cross-modal tasks like image captioning and visual question-answering - Explore the potential of multimodality for various applications, from creative content generation to advanced information retrieval.