Navigating Imbalanced Datasets with Pandas and Scikit-learn
Imbalanced datasets, where a majority of the data samples belong to one class and the remaining minority belong to others, are not that rare.
How we’re supporting better tropical cyclone prediction with AI
We’re launching Weather Lab, featuring our experimental cyclone predictions, and we’re partnering with the U.S. National Hurricane Center to support their forecasts and warnings this cyclone season.
Palantir Advocates for Balanced Data Privacy Legislation in RFI Response
Editor’s Note: This blog post highlights Palantir’s response to a Request for Information from the House Energy and Commerce Committee’s Privacy Working Group, which is exploring the creation of a national data privacy law. For more information about Palantir’s contributions to AI Policy, visit our website here. Introduction In April, Palantir submitted a response to a …
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Model Once, Represent Everywhere: UDA (Unified Data Architecture) at Netflix
By Alex Hutter, Alexandre Bertails, Claire Wang, Haoyuan He, Kishore Banala, Peter Royal, Shervin Afshar As Netflix’s offerings grow — across films, series, games, live events, and ads — so does the complexity of the systems that support it. Core business concepts like ‘actor’ or ‘movie’ are modeled in many places: in our Enterprise GraphQL Gateway powering internal apps, in …
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Accelerating Articul8’s domain-specific model development with Amazon SageMaker HyperPod
This post was co-written with Renato Nascimento, Felipe Viana, Andre Von Zuben from Articul8. Generative AI is reshaping industries, offering new efficiencies, automation, and innovation. However, generative AI requires powerful, scalable, and resilient infrastructures that optimize large-scale model training, providing rapid iteration and efficient compute utilization with purpose-built infrastructure and automated cluster management. In this …
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Cloud CISO Perspectives: How Google secures AI Agents
Welcome to the first Cloud CISO Perspectives for June 2025. Today, Anton Chuvakin, security advisor for Google Cloud’s Office of the CISO, discusses a new Google report on securing AI agents, and the new security paradigm they demand. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud …
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Meta’s new world model lets robots manipulate objects in environments they’ve never encountered before
A robot powered by V-JEPA 2 can be deployed in a new environment and successfully manipulate objects it has never encountered before.Read More
The Meta AI App Lets You ‘Discover’ People’s Bizarrely Personal Chats
Launched in April, the Meta AI platform offers a “discover” feed that includes user queries containing medical, legal, and other seemingly sensitive information.
Less is more: Efficient pruning for reducing AI memory and computational cost
Deep learning and AI systems have made great headway in recent years, especially in their capabilities of automating complex computational tasks such as image recognition, computer vision and natural language processing. Yet, these systems consist of billions of parameters and require great memory usage as well as expensive computational cost.
Gaze-LLE: Gaze Target Estimation via Large-Scale Learned Encoders
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