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AWS Transform now automates BI migration to Amazon Quick in days

by AI Generated Robotic ContentFAANG May 2, 2026Comments are Disabled

Migrating to Amazon Quick doesn’t have to mean starting from scratch. Your dashboards encode hard-won domain knowledge: calculated fields your analysts perfected, layouts your executives rely on every Monday morning, security rules tuned to your org chart. You want AI-powered insights and serverless scale, but you’re staring at hundreds of dashboards and a migration estimate …

STARFlow-V: End-to-End Video Generative Modeling with Normalizing Flows

by AI Generated Robotic ContentFAANG May 1, 2026Comments are Disabled

Normalizing flows (NFs) are end-to-end likelihood-based generative models for continuous data, and have recently regained attention with encouraging progress on image generation. Yet in the video generation domain, where spatiotemporal complexity and computational cost are substantially higher, state-of-the-art systems almost exclusively rely on diffusion-based models. In this work, we revisit this design space by presenting …

Ready, Set, Build with the NHS Federated Data Platform

by AI Generated Robotic ContentFAANG May 1, 2026Comments are Disabled

The National Health Service (NHS) has delivered universal healthcare to an entire nation for over 75 years. With 1.5 million staff providing care to approximately 57 million patients across hundreds of hospital trusts — using decades old legacy infrastructure — the NHS is one of the most operationally complex organisations on earth. For most of its history, the NHS has …

Reinforcement fine-tuning with LLM-as-a-judge

by AI Generated Robotic ContentFAANG May 1, 2026Comments are Disabled

Large language models (LLMs) now drive the most advanced conversational agents, creative tools, and decision-support systems. However, their raw output often contains inaccuracies, policy misalignments, or unhelpful phrasing—issues that undermine trust and limit real-world utility. Reinforcement Fine‑Tuning (RFT) has emerged as the preferred method to align these models efficiently, using automated reward signals to replace …

Cloud CISO Perspectives: At Next ‘26, why we’re multicloud and multi-AI

by AI Generated Robotic ContentFAANG May 1, 2026Comments are Disabled

Welcome to the second Cloud CISO Perspectives for April 2026. Today, Francis deSouza, COO Google Cloud and President, Security Products, explains why Google is multicloud and multi-AI, straight from Next ‘26. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud blog. If you’re reading this on the …

Adaptive Thinking: Large Language Models Know When to Think in Latent Space

by AI Generated Robotic ContentFAANG April 30, 2026Comments are Disabled

Recent advances in large language models (LLMs) test-time computing have introduced the capability to perform intermediate chain-of-thought (CoT) reasoning (thinking) before generating answers. While increasing the thinking budget yields smooth performance improvements at inference time, the relationship between LLM capability, query complexity, and optimal budget allocation remains poorly understood for achieving compute-optimal inference. To address …

Extracting contract insights with PwC’s AI-driven annotation on AWS

by AI Generated Robotic ContentFAANG April 30, 2026Comments are Disabled

This post was co-written with Yash Munsadwala, Adam Hood, Justin Guse, and Hector Hernandez from PwC. Contract analysis often consumes significant time for legal, compliance, and procurement teams, especially when important insights are buried in lengthy, unstructured agreements. As contract volumes grow, finding specific clauses and assessing extracted terms can become increasingly difficult to scale. …

The founder’s AI foundation: The top announcements for startups from Next ‘26

by AI Generated Robotic ContentFAANG April 30, 2026Comments are Disabled

The momentum is undeniable: the world’s fastest-growing AI startups are building with Google Cloud. Instead of stitching together fragmented point solutions, founders are building their businesses here because we offer the entire AI stack in a single, open environment. And, as we saw at Next ‘26 last week, we continue to advance the models, infrastructure, …

Local Mechanisms of Compositional Generalization in Conditional Diffusion

by AI Generated Robotic ContentFAANG April 29, 2026Comments are Disabled

Conditional diffusion models appear capable of compositional generalization, i.e., generating convincing samples for out-of-distribution combinations of conditioners, but the mechanisms underlying this ability remain unclear. To make this concrete, we study length generalization, the ability to generate images with more objects than seen during training. In a controlled CLEVR setting (Johnson et al.,2017), we find …

Connecting Agents to Decisions

by AI Generated Robotic ContentFAANG April 29, 2026Comments are Disabled

The Palantir Ontology Palantir’s software powers real-time, human-agent decision-making in many of the most critical commercial and government contexts around the world. From disaster response to nuclear energy production, our customers depend on Palantir AIP to safely, securely, and effectively leverage AI in their enterprises — and drive operational transformation. While many factors contribute to achieving and scaling …