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This guest post is co-written by Lydia Lihui Zhang, Business Development Specialist, and Mansi Shah, Software Engineer/Data Scientist, at Planet Labs. The analysis that inspired this post was originally written by Jennifer Reiber Kyle. Amazon SageMaker geospatial capabilities combined with Planet’s satellite data can be used for crop segmentation, and there are numerous applications and …

Read more “Build a crop segmentation machine learning model with Planet data and Amazon SageMaker geospatial capabilities”

For several years, businesses have used Google Cloud’s Document AI to achieve faster, more accurate document processing, and improve the ways they process invoices, customer forms, and deliver services that rely on documents. Generative AI is transforming enterprise document processing by letting users input natural language prompts to classify, extract, and get deeper insights from …

Read more “Mobilize your unstructured data with generative AI”

Posted by Zhengqi Li and Noah Snavely, Research Scientists, Google Research A mobile phone’s camera is a powerful tool for capturing everyday moments. However, capturing a dynamic scene using a single camera is fundamentally limited. For instance, if we wanted to adjust the camera motion or timing of a recorded video (e.g., to freeze time …

Read more “DynIBaR: Space-time view synthesis from videos of dynamic scenes”

Posted by Zhengqi Li and Noah Snavely, Research Scientists, Google Research A mobile phone’s camera is a powerful tool for capturing everyday moments. However, capturing a dynamic scene using a single camera is fundamentally limited. For instance, if we wanted to adjust the camera motion or timing of a recorded video (e.g., to freeze time …

Read more “DynIBaR: Space-time view synthesis from videos of dynamic scenes”