December 2023
Build with multimodal Gemini. Discover the latest in ML research, applications, and more.
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Catch up on the latest in machine learning and AI
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Explore sessions from the WiML Symposium 2023 to learn all the latest developer updates, including the future of open ML frameworks, generative AI tools, and more.
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Build with the new Gemini multimodal model
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Grab your API key and try out Gemini’s text and image reasoning capabilities with Google AI Studio, available in
38 languages across 180+ countries
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Half-precision inference with XNNPack doubles on-device inference performance
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Deploy AI-powered features to older and lower tier devices using floating-point inference in TensorFlow Lite’s XNNPack backend for ARM CPUs. Explore the benchmarks on computer vision tasks.
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Training a TensorFlow Decision Forests model using gradient boosted trees
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Gradient boosting is one of the most powerful decision forest algorithms, often outperforming random forests. Start with a simple model and correct errors by adding new trees.
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Improving simulations of clouds with graph computation and XLA
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Learn how TPUs are enabling new computational experiments and substantially enlarging the sample of large eddy simulations (LES) to train parameterizations of clouds for global climate models.
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Enabling AR tools on mobile for Google Shopping
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Check out AR Beauty Try On, a new feature in Google Search powered by MediaPipe, TensorFlow Lite, and WebGL infrastructure. Mobile users can now try on beauty products without the native Search app.
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Stay Connected
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Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
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