AI content generation is about feeding your AI models with semantic and contextual information. The result is a platform that can ‘understand’ what an item is, and how it should be used. AI creates content using semantic knowledge in any form of content including video, 3d, VR and more.
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Latest Artificial Intelligence Content News
Leave the Class Path in the Rearview Mirror
Introducing composable, module system native and agent friendly command line tools for modern Java developmentBy Danny Thomas, JVM Ecosystem TeamRecent work on the Java language to pave the on-ramp has made it easier than ever to start a Java program and evolve it using the full language and platform. At…
Amazon SageMaker Inference: 2026 year-to-date launches in review
Generative AI inference is uniquely hard: models are tens to hundreds of gigabytes, latency requirements are measured in tokens per second, cold starts can span multiple minutes as containers and weights transfer, GPU capacity is constrained, and traditional monitoring tools expose none of the token-level signals that matter in production.…
Changing the game: Using agentic AI to secure infrastructure code
AI is accelerating software development at an unprecedented pace. But as code generation scales, so do the challenges of securing the code, especially emerging AI-based vulnerability exploitations. To meet these challenges, the Google AI and Infrastructure team is transforming how we approach security. In this article, we discuss new AI-native…
Apple Watch Ultra 4 Review: The Series 12 Is Closing the Gap
The Ultra 4 gets smarter about health tracking and lasts longer between charges. But for most people, the Series 12 gets close enough.