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Using Google Cloud AI to measure the physics of U.S. freestyle snowboarding and skiing

Nearly every snowboard trick carries a number. A 1080 means three full rotations. A 1440 means four. The convention is simple: add up every rotation around every axis and count in 180° increments. For decades it’s served as the sport’s universal shorthand for difficulty. Judges, coaches, and athletes all speak this language fluently. It’s also, …

Most AI bots lack basic safety disclosures, study finds

Many people use AI chatbots to plan meals and write emails, AI-enhanced web browsers to book travel and buy tickets, and workplace AI to generate invoices and performance reports. However, a new study of the “AI agent ecosystem” suggests that as these AI bots rapidly become part of everyday life, basic safety disclosure is “dangerously …

Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment

Query Auto-Completion (QAC) is a critical feature of modern search systems that improves search efficiency by suggesting completions as users type. However, existing approaches face fundamental challenges: traditional retrieve-and-rank pipelines have poor long-tail coverage and require extensive feature engineering, while recent generative methods suffer from hallucination and safety risks. We present a unified framework that …

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Build unified intelligence with Amazon Bedrock AgentCore

Building cohesive and unified customer intelligence across your organization starts with reducing the friction your sales representatives face when toggling between Salesforce, support tickets, and Amazon Redshift. A sales representative preparing for a customer meeting might spend hours clicking through several different dashboards—product recommendations, engagement metrics, revenue analytics, etc. – before developing a complete picture …

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Powering the next generation of agents with Google Cloud databases

For developers building AI applications, including custom agents and chatbots, the open-source Model Context Protocol (MCP) standard enables your innovations to access data and tools consistently and securely. At the end of 2025, we introduced managed and remote MCP support for services like Google Maps and BigQuery, establishing a standard method for AI to connect …

Laughter reveals how we use AI at home

Voice assistants such as Alexa are often marketed as smart tools that streamline everyday life. But once the technology moves into people’s homes, interest quickly fades. This is shown by new research in which laughter is used as a key to understanding how people actually use—and understand—artificial intelligence in everyday life. The paper is published …