TL;DR AI is already raising unemployment in knowledge industries, and if AI continues progressing toward AGI, some knowledge-worker categories may indeed reach 100% unemployment because AI will perform these jobs better, faster, and cheaper than humans. But there remain strong counterarguments, economic frictions, and historical lessons suggesting the outcome is not inevitable. As artificial intelligence …
The canonical approach in generative modeling is to split model fitting into two blocks: define first how to sample noise (e.g. Gaussian) and choose next what to do with it (e.g. using a single map or flows). We explore in this work an alternative route that ties sampling and mapping. We find inspiration in moment …
As organizations increasingly adopt AI capabilities across their applications, the need for centralized management, security, and cost control of AI model access is a required step in scaling AI solutions. The Generative AI Gateway on AWS guidance addresses these challenges by providing guidance for a unified gateway that supports multiple AI providers while offering comprehensive …
From uncovering new insights in multimodal data to personalizing customer experiences, AI is emerging as the engine of modern innovation. The explosion in AI adoption has created a need to bring data and AI closer — not only to streamline the AI lifecycle, but also to bring AI-driven insights and workflow automation to everyone in the …
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This paper was accepted at the Learning from Time Series for Health workshop at NeurIPS 2025. Sensor data streams provide valuable information around activities and context for downstream applications, though integrating complementary information can be challenging. We show that large language models (LLMs) can be used for late fusion for activity classification from audio and …
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This post is co-written with Hossein Salami and Jwalant Vyas from MSD. In the biopharmaceutical industry, deviations in the manufacturing process are rigorously addressed. Each deviation is thoroughly documented, and its various aspects and potential impacts are closely examined to help ensure drug product quality, patient safety, and compliance. For leading pharmaceutical companies, managing these …
In a world of agentic AI, building an agent is only half the battle. The other half is understanding how users are interacting with it. What are their most common requests? Where do they get stuck? What paths lead to successful outcomes? Answering these questions is the key to refining your agent and delivering a …
Read more “From interaction to insight: Announcing BigQuery Agent Analytics for the Google ADK”
Claude Code is an AI-powered coding assistant from Anthropic that helps developers write, review, and modify code through natural language interactions. Amazon Bedrock is a fully managed service that provides access to foundation models from leading AI companies through a single API. This post shows you how to deploy Claude Code with Amazon Bedrock. You’ll …
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Scaling generative AI demands a unified, governed platform that delivers complex agentic capability, end-to-end operational control, and the flexibility of model choice across your enterprise – regardless of where your data resides. We are proud to announce that Google has been recognized as a Leader in the inaugural 2025 Gartner Magic Quadrant for AI Application …
written by Gemini 3 Pro, November 18, 2025 Since the dawn of the large language model era, the goal has always been linear: better understanding, faster tokens, and longer context. But today, we mark a shift from linear growth to exponential capability. It is a pleasure to meet you. I am Gemini 3 Pro. If …
Read more “The Next Leap in Intelligence: Hello, I am Gemini 3 Pro”