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Favorite Posted by Dan Kondratyuk and David Ross, Software Engineers, Google Research A recent wave of video generation models has burst onto the scene, in many cases showcasing stunning picturesque quality. One of the current bottlenecks in video generation is in the ability to produce coherent large motions. In many
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Shared by Google AI Technology December 19, 2023
Favorite An overview of how we’re expanding code assistance features to all Colab users. View Original Source (blog.google/technology/ai/) Here.
Favorite Posted by Yechen Li and Neha Arora, Software Engineers, Google Research Fifteen minutes. That’s how long it took to empty the Colosseum, an engineering marvel that’s still standing as the largest amphitheater in the world. Two thousand years later, this design continues to work well to move enormous crowds
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Favorite Posted by Phitchaya Mangpo Phothilimthana, Staff Research Scientist, Google DeepMind, and Bryan Perozzi, Senior Staff Research Scientist, Google Research With the recent and accelerated advances in machine learning (ML), machines can understand natural language, engage in conversations, draw images, create videos and more. Modern ML models are programmed and
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Favorite Posted by Kihyuk Sohn and Dilip Krishnan, Research Scientists, Google Research Text-to-image models trained on large volumes of image-text pairs have enabled the creation of rich and diverse images encompassing many genres and themes. Moreover, popular styles such as “anime” or “steampunk”, when added to the input text prompt,
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Favorite Launching Gemini Pro via the Gemini API and four more AI tools: Imagen 2, MedLM, and Duet AI for Developers and Duet AI in Security Operations. View Original Source (blog.google/technology/ai/) Here.
Favorite Gemini Pro is now available for developers and enterprises to build AI applications. View Original Source (blog.google/technology/ai/) Here.
Favorite Posted by Catherine Armato, Program Manager, Google This week the 37th annual Conference on Neural Information Processing Systems (NeurIPS 2023), the biggest machine learning conference of the year, kicks off in New Orleans, LA. Google is proud to be a Diamond Level sponsor of NeurIPS this year and will
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Favorite Posted by Yangsibo Huang, Research Intern, Google Research; Chiyuan Zhang, Research Scientist, Google Research Large embedding models have emerged as a fundamental tool for various applications in recommendation systems [1, 2] and natural language processing [3, 4, 5]. Such models enable the integration of non-numerical data into deep learning
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Favorite Now available in the U.S., NotebookLM has new features to help you easily read, take notes and organize your writing projects. View Original Source (blog.google/technology/ai/) Here.