Category: FAANG

(Editor’s Note: This is the first in a series that shares insights from our journey enforcing FIDO2 authentication via hardware authenticators (YubiKeys) across all of Palantir. While Palantir has enforced mandatory strong multi-factor authentication for well over a decade, hardware-backed authentication using FIDO2 represents the strongest form of modern authentication available.) Threat Model Palantir has …

Read more “Hardware Selection and Logistics (Passwordless Authentication Series, #1)”

Posted by Mohammad Saleh, Software Engineer, Google Research, Brain Team, and Yinan Wang, Software Engineer, Google Workspace Information overload is a significant challenge for many organizations and individuals today. It can be overwhelming to keep up with incoming chat messages and documents that arrive at our inbox everyday. This has been exacerbated by the increase …

Read more “Conversation Summaries in Google Chat”

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 …

Read more “Easy and accurate forecasting with AutoGluon-TimeSeries”

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 …

Read more “Your guide to AI/ML at AWS re:Invent 2022”

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 …

Read more “How to run a large scale ML workflow on Dataflow ML for autonomous driving”

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 …

Read more “Easily integrate machine learning models into applications with Vertex AI integration for Cloud Spanner”

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 …

Read more “For your eyes only: improving Netflix video quality with neural networks”

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. …

Read more “Match Cutting at Netflix: Finding Cuts with Smooth Visual Transitions”

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”