3 key reasons why your organization needs Responsible AI

Responsibility is a learned behavior. Over time we connect the dots, understanding the need to meet societal expectations, comply with rules and laws, and to respect the rights of others. We see the link between responsibility, accountability and subsequent rewards. When we act responsibly, the rewards are positive; when we don’t, we can face negative …

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Unsupervised and semi-supervised anomaly detection with data-centric ML

Posted by Jinsung Yoon and Sercan O. Arik, Research Scientists, Google Research, Cloud AI Team Anomaly detection (AD), the task of distinguishing anomalies from normal data, plays a vital role in many real-world applications, such as detecting faulty products from vision sensors in manufacturing, fraudulent behaviors in financial transactions, or network security threats. Depending on …

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Optimize your machine learning deployments with auto scaling on Amazon SageMaker

Machine learning (ML) has become ubiquitous. Our customers are employing ML in every aspect of their business, including the products and services they build, and for drawing insights about their customers. To build an ML-based application, you have to first build the ML model that serves your business requirement. Building ML models involves preparing the …

Neural network trained using a diverse dataset outperforms conventionally trained algorithms

Artificially intelligent neural networks, trained by images and videos available on the internet, can recognize faces, objects, and more. But there’s a serious drawback. Teaching machine learning algorithms how to identify people or items by relying solely on the visual library of faces and objects found online underrepresents socioeconomic and demographic groups.

4 Surprises From Analyzing Holiday E-commerce Campaigns

Holiday e-commerce campaigns can be … weird. The language and narratives that tend to thrive in retail campaigns can let you down at key calendar moments like Valentine’s Day, Mother’s Day, and Black Friday. Tried-and-true approaches don’t always produce the highest performance. We saw that loud and clear when we examined e-commerce campaigns looking for …

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Google Research, 2022 & beyond: Algorithms for efficient deep learning

Posted by Sanjiv Kumar, VP and Google Fellow, Google Research (This is Part 4 in our series of posts covering different topical areas of research at Google. You can find other posts in the series here.) The explosion in deep learning a decade ago was catapulted in part by the convergence of new algorithms and …