The Building Responsible AI Data & Solutions (BRAIDS) team within #GoogleResearch aims to simplify adoption of RAI practices through the utilization of scalable tools, high-quality data, streamlined processes and novel research. Learn about their work ↓
@googleai
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Google Researchers Showcase AI Breakthroughs Across Multiple Domains
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The demos from Research@Korea also showcased Google Researchers’ work across important topics like ML fairness, Genomics, Materials Science, Generative AI in Search, and Quantum. Dive deeper into the work of our researchers here → https://
goo.gle/48Wi2e9 -
Google Researchers Present Latest Advances in ML and AI
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Yesterday’s Research@ Seoul event was a success — Google Researchers led lightning talks on ML fairness, Genomics, Materials Science, Generative AI in Search, & Quantum. We're grateful to them for presenting their work & fueling progress in the field!
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Mirasol: Multimodal AI Model for Audio, Video, Text
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Introducing Mirasol, a multimodal model for learning across audio, video, & text that decouples the modeling into separate autoregressive models to process the inputs according to the characteristics of their modalities, for state-of-the-art performance →https://t.co/PjFHFnSyvl pic.twitter.com/uUtXSB2MdX
— Google AI (@GoogleAI) 14 novembre 2023Introducing Mirasol, a multimodal model for learning across audio, video, & text that decouples the modeling into separate autoregressive models to process the inputs according to the characteristics of their modalities, for state-of-the-art performance →
https://
goo.gle/40AFKJf -
Google Research Develops ASR Models for African Languages
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Thousands of languages are spoken in Africa, but the vast majority are not well documented online. Learn more about how the Google Research team in Ghana has been collecting data to train #automaticspeechrecognition (ASR) models for local languages ↓
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MS Signals: AI-Powered Symptom Tracking for Multiple Sclerosis
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Today we describe our exploratory work to build MS Signals, a symptom tracking app for multiple sclerosis that's based on the FDA MyStudies platform, which we expanded and enhanced to create a more streamlined and accessible experience. Check it out at https://
goo.gle/3FWNOdT -
Google Opens Research Scholar Program for Early-Career Professors
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Applications are open for the Research Scholar Program, an effort that aims to strengthen long-term collaboration w/ the academic community by supporting early-career professors pursuing research in fields relevant to Google. Learn more & apply by Nov 30 ↓
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Building Responsibility Into AI/ML Pipeline From Data to Feedback
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The Context in AI Research (CAIR) team develops novel methods in the context of the entire AI/ML pipeline, from data to end-user feedback. Learn more about how we build responsibility into each step—data collection, model design, deployment and feedback. https://
goo.gle/46c9JZ4 -

Quantum Leakage Control Advances Error Correction in Processors
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Qubits in quantum devices can leak energy to higher states, corrupting nearby qubits and acutely limiting the scalability of quantum processors. Our new approach reduces leakage and converts it to an error that quantum error correction can fix. More → https://
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AltUp: Efficient Transformer Scaling Without Increased Computation
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Introducing AltUp, a method that takes advantage of increasing scale in Transformer networks w/out increasing the computation cost — it’s easy to implement, widely applicable to Transformer architectures, and requires minimal hyperparameter tuning. More → https://
goo.gle/475j3iW