Just add humans: Oxford medical study underscores the missing link in chatbot testing
Patients using chatbots to assess their own medical conditions may end up with worse outcomes than conventional methods, according to a new Oxford study.Read More
24 Amazon Prime Perks You Might Not Be Using (2025)
Your membership gets you more than free two-day shipping. Here’s what you may be missing ahead of Amazon Prime Day 2025.
Explainable AI: New framework increases transparency in decision-making systems
A new explainable AI technique transparently classifies images without compromising accuracy. The method, developed at the University of Michigan, opens up AI for situations where understanding why a decision was made is just as important as the decision itself, like medical diagnostics.
Volumetric 3D in ComfyUI , node available !
✨ Introducing ComfyUI-8iPlayer: Seamlessly integrate 8i volumetric videos into your AI workflows! https://github.com/Kartel-ai/ComfyUI-8iPlayer/ Load holograms, animate cameras, capture frames, and feed them to your favorite AI models. The future of 3D content creation is here!Developed by me for Kartel.ai 🚀Note: There might be a few bugs, but I hope people can play with it! #AI …
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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