As AI moves from promising experiments to landing core business impact, the most critical question is no longer “What can it do?” but “How well does it do it?”. Ensuring the quality, reliability, and safety of your AI applications is a strategic imperative. To guide you, evaluation must be your North Star—a constant process that …
Read more “How good is your AI? Gen AI evaluation at every stage, explained”
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
Your membership gets you more than free two-day shipping. Here’s what you may be missing ahead of Amazon Prime Day 2025.
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.
✨ 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 …
Imbalanced datasets, where a majority of the data samples belong to one class and the remaining minority belong to others, are not that rare.
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.
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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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 …
Read more “Model Once, Represent Everywhere: UDA (Unified Data Architecture) at Netflix”
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 …
Read more “Accelerating Articul8’s domain-specific model development with Amazon SageMaker HyperPod”