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Announcing new BigQuery inference engine to bring ML closer to your data

Organizations worldwide are excited about the potential of Artificial Intelligence and Machine Learning capabilities. However, according to HBR, only 20% see their ML models go into production because ML often is deployed separately from their core data analytics environment. To bridge this increasing gap between data and AI, organizations need to build massive data pipelines, …

Neural Transducer Training: Reduced Memory Consumption with Sample-wise Computation

The neural transducer is an end-to-end model for automatic speech recognition (ASR). While the model is well-suited for streaming ASR, the training process remains challenging. During training, the memory requirements may quickly exceed the capacity of state-of-the-art GPUs, limiting batch size and sequence lengths. In this work, we analyze the time and space complexity of …

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Palantir Polska: Często zadawane pytania

(Scroll down for English translation below) W przestrzeni publicznej pojawia się wiele pytań dotyczących działalności Palantira. Biorąc pod uwagę duże zainteresowanie naszą firmą, zebraliśmy pytania, które stawiane są najczęściej i tym wpisem na blogu, chcielibyśmy na nie odpowiedzieć. Czym jest Palantir? Palantir Technologies to międzynarodowa firma technologiczna założona w 2003 roku w Dolinie Krzemowej. Obecnie …

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PRESTO – A multilingual dataset for parsing realistic task-oriented dialogues

Posted by Rahul Goel and Aditya Gupta, Software Engineers, Google Assistant Virtual assistants are increasingly integrated into our daily routines. They can help with everything from setting alarms to giving map directions and can even assist people with disabilities to more easily manage their homes. As we use these assistants, we are also becoming more …

5 big things you can do at Google Data Cloud & AI Summit this week

Data is at the heart of digital transformation and organizations are looking to find new opportunities to transform customer experiences, boost revenue, and reduce costs. In a new study conducted by Harvard Business Review Analytic Services for Google Cloud, 91% percent of leaders say that democratizing access to data is imperative to business success, and …

Continuous Pseudo-Labeling from the Start

Self-training (ST), or pseudo-labeling has sparked significant interest in the automatic speech recognition (ASR) community recently because of its success in harnessing unlabeled data. Unlike prior semi-supervised learning approaches that relied on iteratively regenerating pseudo-labels (PLs) from a trained model and using them to train a new model, recent state-of-the-art methods perform ‘continuous training’ where …

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Detecting novel systemic biomarkers in external eye photos

Posted by Boris Babenko, Software Engineer, and Akib Uddin, Product Manager, Google Research Last year we presented results demonstrating that a deep learning system (DLS) can be trained to analyze external eye photos and predict a person’s diabetic retinal disease status and elevated glycated hemoglobin (or HbA1c, a biomarker that indicates the three-month average level …

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How AI can improve digital security

AI is having a transformative moment and causing profound shifts in what’s possible with technology. It has the power to unlock the potential of communities, companies, and countries around the world, bringing meaningful and positive change that could improve billions of peoples’ lives. Similarly, as these technologies advance, they have the potential to vastly improve …

ChatGPT plugins

We’ve implemented initial support for plugins in ChatGPT. Plugins are tools designed specifically for language models with safety as a core principle, and help ChatGPT access up-to-date information, run computations, or use third-party services.