AutoGluon-TimeSeries is the latest addition to AutoGluon, which helps you easily build powerful time series forecasting models with as little as three lines of code. Time series forecasting is a common task in a wide array of industries as well as scientific domains. Having access to reliable forecasts for supply, demand, or capacity is crucial …
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AWS re:Invent season is upon us again! Just a few days to go until re:Invent takes place for the 11th year in Las Vegas, Nevada. The Artificial Intelligence and Machine Learning team at AWS has been working hard to offer amazing content, an outstanding AWS DeepRacer experience, and much more. In this post, we give …
Developing autonomous driving technology is a battle with data, both from a volume and data format point of view. Sources include point cloud 3D data obtained from LIDAR, video data obtained from multiple cameras, GPS position information, millimeter-wave radar, steering and various sensor information. Even in a busy city, less than 1% of the raw …
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Cloud Spanner is a fully managed relational database that provides industry-leading consistency and availability at any scale. Organizations of all sizes in industries like financial services, retail, and games rely on Spanner to run their mission critical applications, but efficiently running line-of-business applications is often not enough. They want to react to business or customer …
Suggestions for establishing a culture of data responsibility Introduction Part of building and deploying privacy-protective technology is also fostering a community of responsibility around its development and use. This idea is central to the mission of Palantir’s Privacy & Civil Liberties Engineering team. It is also a guiding principle that drives us to share our …
Read more “Palantir’s Response to the FTC on ‘Commercial Surveillance and Data Security’ Rulemaking”
by Christos G. Bampis, Li-Heng Chen and Zhi Li When you are binge-watching the latest season of Stranger Things or Ozark, we strive to deliver the best possible video quality to your eyes. To do so, we continuously push the boundaries of streaming video quality and leverage the best video technologies. For example, we invest in …
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By Boris Chen, Kelli Griggs, Amir Ziai, Yuchen Xie, Becky Tucker, Vi Iyengar, Ritwik Kumar Special thanks to Anna Pulido, Luca Aldag, Shaun Wright and Sarah Soquel Morhaim Creating Media with Machine Learning episode 1 Introduction At Netflix, part of what we do is build tools to help our creatives make exciting videos to share with the world. …
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Posted by Mahima Pushkarna, Senior Interaction Designer, and Andrew Zaldivar, Senior Developer Relations Engineer, Google Research As machine learning (ML) research moves toward large-scale models capable of numerous downstream tasks, a shared understanding of a dataset’s origin, development, intent, and evolution becomes increasingly important for the responsible and informed development of ML models. However, knowledge …
Read more “The Data Cards Playbook: A Toolkit for Transparency in Dataset Documentation”
Today, we announce the public availability of Amazon’s state-of-the-art Alexa Teacher Model with 20 billion parameters (AlexaTM 20B) through Amazon SageMaker JumpStart, SageMaker’s machine learning hub. AlexaTM 20B is a multilingual large-scale sequence-to-sequence (seq2seq) language model developed by Amazon. You can use AlexaTM 20B for a wide range of industry use-cases, from summarizing financial reports …
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Yara is the world’s leading crop nutrition company and a provider of environmental and agricultural solutions. Yara’s ambition is focused on growing a nature-positive food future that creates value for customers, shareholders, and society at large, and delivers a more sustainable food value chain. Supporting our vision of a world without hunger and a planet …