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Bringing Atmospheric Data Down to Earth | Mapping the Ionosphere with Android Devices
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Open Buildings: Using AI to put everyone on the map
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Using AI to track wildfire boundaries | Chile, February 2024
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AI for Eye Care: A fireside chat on AI in clinical workflows
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Can we hear disease before we see it?
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A Conversation on Language AI
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Language AI at Google
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Project Vaani
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How AI is improving climate prediction | Research Bytes: NeuralGCM
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Google Research Vs. Inequity in Media | How AI is an Ally for Representation
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Google Research Vs. Inequity in Media | How AI is an Ally for Representation
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Quantum Resource Estimation: Paving the Way for Fusion Energy and Beyond
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Supercharge your Programming in Colab with AI-Powered tools
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Mapping the Brain
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Mapping the Brain
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AI for maternal and child health
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Language inclusion with LLMs
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Research@ Bangalore: A conversation with Jeff Dean
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Advancing efficient ML
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How LLMs might help scale world class healthcare to everyone
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Responsible AI for generative models: Designing for responsibility
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How AI is Improving Global Access to Reliable Flood Forecasts
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Interview with Cordelia Schmid, a Principal Scientist at Google and Director at INRIA
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Ray Kurzweil on calculators as context
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Ray Kurzweil on how he got his start in computing
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Research Retrospectives: An interview with David Ha, Co-founder and CEO of Sakana AI
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Ray Kurzweil on the exponential growth of computing power
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Ray Kurzweil on LLM hallucinations
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Research@ Recap
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Introducing Lumiere: A space-time diffusion model for video generation
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Fighting extreme heat in urban environments
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Quantum Computing - Hype vs. reality | Field Notes
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Can AI decode the music you're listening to? | Field Notes
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Google Research Vs. Climate Inequity
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What drives Google Research?
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Building an ML model to accurately estimate the reflectivity of roofs
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Rookie the Raccoon - An AI Generated movie by VideoPoet, a Large Language Model
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Colab & HausaNLP | Bridging language gaps in AI
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What is Responsible AI? | Research Bytes
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Reconstructing music from brain activity
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Mapping the brain
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Ask Big Questions - Google Research
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Breaking the language barrier
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Research@ NYC: Search Generative Experience
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Research@ NYC: Languages
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Research@ NYC: ELIXR
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Research@ NYC: TextFX
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Research@ NYC: PAIR Guidebook
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Research@ NYC: Brain2Music
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Research@ NYC: A Fireside Chat with Corinna Cortes & Katherine Chou
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Research@ NYC: Colab
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Research@ NYC: Cool Roofs
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Research@ NYC: Notebook LM
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Research@ NYC: Mapping the Brain
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Project Relate - Personalized Speech Recognition
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Project Relate - Communication made easier
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African Language Expansion
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Measuring ecosystem resilience with ML
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Google Research Vs. Biodiversity Crisis
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Google Research Vs. Genomic Bias
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Chirp: Automatic Speech Recognition for 100+ Languages | Research Bytes
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Introducing Codey | Research Bytes
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How do you train a robot to move with dog-like agility? | Field Notes
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Making Videos Accessible with Universal Translator
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African Languages Series: Get to know Yoruba, one of the main languages of Nigeria
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Med-PaLM 2, our expert-level medical LLM | Research Bytes
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Introducing PaLM 2, Google’s next generation large language model | Research Bytes
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African Languages Series: Discover Kiswahili, a language spoken in more than 14 countries
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African Languages Series: All about Akan, the main native language of the Akan people of Ghana
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African Languages Series: What you should know about Amharic, the most spoken language in Ethiopia
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African Languages Series: Importance of language technology for underrepresented languages
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Research Retrospectives: an interview with Zoubin Ghahramani, VP of Google Research
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Predicting protein function with ProtNLM
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How to use JAX?
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Text-to-video models explained
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Who uses JAX?
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Text-to-image generation explained
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What is JAX?
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Generating video from textual descriptions with Phenaki
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How to get started with the Google FloodHub
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What is the Google FloodHub?
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Simulating wildfires before they happen
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How AI is helping to fight wildfires
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Scaling Language-Image Learning in 100 Languages with PaLI
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Picturing the world with Parti
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Imagining with Imagen
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How Imagen & Parti make the artistic process more accessible
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Making learning robots more helpful with language
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Introducing language models to robotics
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Grounding language in robotic affordances
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For helper robots, the smallest things can be the hardest to grasp