Today on the blog, read all about how automatically repairing non-building code increases productivity and appears to introduce no detectable negative impact on code safety, provided that high quality training data and responsible monitoring are employed →https://goo.gle/4b9Hm0w
Google Research
Technology, Information and Internet
Ask big questions. Build impossible answers.
About us
From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. We aspire to make discoveries that impact everyone, and sharing our research and tools to fuel progress in the field is fundamental to our approach.
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https://research.google/
External link for Google Research
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- Technology, Information and Internet
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Updates
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🎉 Congratulations to Hossein Talebi and Peyman Milanfar, the 2023 IEEE SPS Best Paper Award recipients! Their paper, "NIMA: Neural Image Assessment," earned them the prestigious award this week during IEEE ICASSP 2024 in Korea. Explore their findings here → https://goo.gle/3UrQurO
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Today we describe how federated analytics, differential privacy, and our partnerships with linguists enabled our keyboard application, Gboard, to improve its vocabulary, boosting Gboard’s performance while keeping your typed words private. Learn more at: https://goo.gle/4aYYjuA
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Augmenting communication with real-time captioning systems could be useful for helping people distinguish speech in noisy environments. Today we illustrate how a joint sound separation + ASR model can benefit from training with hybrid datasets that have large amounts of simulated audio complemented by small amounts of real recordings. Learn more at https://goo.gle/3UjvH9Y
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The ScaNN vector search library was open-sourced in 2020 to highlight innovations in vector search algorithms, critical for many #ML applications. Today, learn how SOAR introduces redundancy to ScaNN’s vector index to improve vector search efficiency → https://goo.gle/3vUKkao
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The minimum cut problem is a structural question about the connectivity of a graph and one of the key problems in algorithmic graph theory, with many practical applications. Read about the first deterministic, nearly-linear algorithm that works for general graphs →https://goo.gle/3xFQBY3
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The 2024 IEEE ICASSP meeting (https://lnkd.in/dqJ_uSu5) is in full swing! Curious what Google researchers are doing in the fields of acoustics, speech, and signal processing? Learn about our many research projects, talks, papers & Google booth activities at https://goo.gle/49AdhGm
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Happy World Quantum Day! Celebrate with us in this global initiative dedicated to raising awareness about quantum science and technology! Learn more about our work in quantum computing → quantumai.google
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In BASNet and GSENet, we task a neural network model to separate audio signals from two microphones based on their delay contrast or gain contrast, respectively. Learn how the models take two audio channels as input and output a single channel. → https://goo.gle/4aUR2Mv
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Being able to interpret an ML model’s hidden representations is key to understanding its behavior. Today we introduce Patchscopes, a new framework that aims to unify a variety of previous methods for interpreting the inner workings of LLMs by leveraging their inherent language abilities to provide intuitive, natural language explanations of their own internal hidden representations. Read more → https://goo.gle/4aS5epd
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