queriedhero

Learning with queried hints

Posted by Sreenivas Gollapudi, Senior Staff Research Scientist, and Kostas Kollias, Staff Research Scientist, Google Research, Algorithms & Optimization Team In many computing applications the system needs to make decisions to serve requests that arrive in an online fashion. Consider, for instance, the example of a navigation app that responds to driver requests. In such …

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Build a loyalty points anomaly detector using Amazon Lookout for Metrics

Today, gaining customer loyalty cannot be a one-off thing. A brand needs a focused and integrated plan to retain its best customers—put simply, it needs a customer loyalty program. Earn and burn programs are one of the main paradigms. A typical earn and burn program rewards customers after a certain number of visits or spend. …

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Braced From Space: Startup Keeps Watchful Eye on Gas Pipeline Leaks Across the Globe

As its name suggests, Orbital Sidekick is creating technology that acts as a buddy in outer space, keeping an eye on the globe using satellites to help keep it safe and sustainable. The San Francisco-based startup, a member of the NVIDIA Inception program, enables commercial and government users to optimize sustainable operations and security with …

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Deciphering Clinical Abbreviations with Privacy Protecting ML

Posted by Posted by Alvin Rajkomar, Research Scientist, and Eric Loreaux, Software Engineer, Google Research Today many people have digital access to their medical records, including their doctor’s clinical notes. However, clinical notes are hard to understand because of the specialized language that clinicians use, which contains unfamiliar shorthand and abbreviations. In fact, there are …

Scaling machine learning inference with NVIDIA TensorRT and Google Dataflow

A collaboration between Google Cloud and NVIDIA has enabled Apache Beam users to maximize the performance of ML models within their data processing pipelines, using NVIDIA TensorRTand NVIDIA GPUs alongside the new Apache Beam TensorRTEngineHandler.  The NVIDIA TensorRT SDK provides high-performance, neural network inference that lets developers optimize and deploy trained ML models on NVIDIA …

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Supersizing AI: Sweden Turbocharges Its Innovation Engine

Sweden is outfitting its AI supercomputer for a journey to the cutting edge of machine learning, robotics and healthcare. It couldn’t ask for a better guide than Anders Ynnerman (above). His signature blue suit, black spectacles and gentle voice act as calm camouflage for a pioneering spirit. Early on, he showed a deep interest in …

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5 Proven Ways How Chatbots Can Help Enterprise Businesses Scale

Enterprises. Think behemoths. The big guns. The giants in the industry. While there is no cut-and-dry explanation as to what exactly an enterprise is, one can safely assume that enterprise businesses are those whose revenues range from $1 million to a few billion dollars. The E.U. defines enterprise businesses as those that employ more than 250 people. …

RangeAugment: Efficient Online Augmentation with Range Learning

State-of-the-art automatic augmentation methods (e.g., AutoAugment and RandAugment) for visual recognition tasks diversify training data using a large set of augmentation operations. The range of magnitudes of many augmentation operations (e.g., brightness and contrast) is continuous. Therefore, to make search computationally tractable, these methods use fixed and manually-defined magnitude ranges for each operation, which may …

OpenAI and Microsoft Extend Partnership

We’re happy to announce that OpenAI and Microsoft are extending our partnership. This multi-year, multi-billion dollar investment from Microsoft follows their previous investments in 2019 and 2021, and will allow us to continue our independent research and develop AI that is increasingly safe, useful, and powerful. In pursuit of our mission to ensure advanced AI …