All news with #gemini tag

🚀 Gemini for Government packages Google’s Gemini models, secure commercial cloud services, and agentic AI tools into a FedRAMP High-authorized platform for the public sector. It is positioned to accelerate adoption of AI agents across defense, health, transportation, and research by offering enterprise-grade compliance and scalability. Early adopters include the Department of War’s GenAI.mil rollout, the FDA, and the Department of Transportation, and Google is offering webinars and downloadable agent toolkits to help agencies start building and deploying solutions today.

🚀 Fastweb + Vodafone rebuilt its Customer 360 platform on Google Cloud to deliver unified, real-time customer insights using Spanner, BigQuery, and Gemini. The team replaced brittle, high-maintenance integrations with a connected platform that enables low-latency serving, centralized governance, and AI-assisted engineering workflows. Spanner’s native BigQuery integration sped migrations and simplified monitoring, while Apigee exposes consistent data to call centers, digital channels, and partners.

🛠️ Google SREs describe using Gemini 3 and Gemini CLI to accelerate incident response across the full lifecycle: paging, mitigation, root cause analysis, and postmortems. The CLI integrates with SRE tools (alerting, logs, timeseries, and source control) and selects deterministic, typed actions while enforcing policy to keep humans in the loop. In practice it lowers Mean Time to Mitigation by automating playbook selection, executing safe mutations with approval, and producing fixes and postmortems that are auditable and repeatable.

🚀 This guide demonstrates how to create and deploy a public web app using Gemini 3 Flash Preview via Google AI Studio and Google Cloud Run. In Build mode you describe the application in natural language and let the model "vibe code" a complete app, which appears instantly in the Preview panel for testing. When satisfied, a single Deploy App action pushes the app to Cloud Run, exports your API key as an environment variable, and provides a shareable URL. Note that deployment requires a Google Cloud project with billing enabled.

📚 This free course from Google Cloud and DeepLearning.ai teaches practical use of Gemini CLI, guiding users through installation, context management, extensibility, and specialized workflows. It is designed for developers and non-developers who want to integrate the CLI into daily tasks such as data analysis, content generation, and personalized learning. The curriculum runs in under two hours and provides hands-on lessons covering GEMINI.md, memory features, MCP servers, and extensions.

🚀 Google Cloud has launched a new Bangkok (asia-southeast3) region to deliver low-latency, high-performance cloud services while enabling local data residency under Thailand’s PDPA. The region is part of a USD $1 billion investment and is expected to generate THB 1.4 trillion (US$41 billion) in economic value over five years and support roughly 130,000 jobs annually. It offers certified security controls (ISO/IEC, PCI DSS, SOC), default encryption, customer-managed keys, and direct access to Vertex AI, enterprise Gemini, and generative models to accelerate local AI adoption.

📰 Google says Gemini will not include ads for now, a stance confirmed by DeepMind CEO Demis Hassabis at the Davos Economic Forum. Google AI leadership reiterated that it currently does not plan to monetize Gemini with advertising, although the company did not rule out future changes. Meanwhile, OpenAI has begun testing ads in ChatGPT in the U.S. for Free and Go users, with paid tiers expected to remain ad-free.

⚠️ Researchers at Miggo Security demonstrated that Google Gemini can be manipulated via malicious Calendar invites to exfiltrate private event data. By embedding natural-language prompt-injection payloads in an event description, attackers can cause Gemini to summarize private meetings and write that summary into a new event visible to participants. Miggo reported the issue and Google has implemented mitigations.

📅 A newly disclosed weakness in Google’s Gemini demonstrates how routine calendar invites can be weaponized to influence model behavior. Miggo researchers found that Gemini ingests full event context — titles, times, attendees and descriptions — and may treat that content as actionable instructions. The issue reframes calendar entries from inert data into a potential prompt‑injection vector, highlighting risks as enterprises embed generative AI into day‑to‑day workflows.

🚀 This post introduces Gemini 3 Flash, Google’s low-latency, cost-efficient model in the Gemini 3 family, optimized for advanced reasoning, multimodal understanding, and agentic workflows. It guides developers through obtaining an API key from Google AI Studio and configuring it for local use or environment-based invocation. The article demonstrates interactive prompt testing in the Playground, explains toggles like Structured outputs and Thinking level, and shows how to export language-specific sample code via the "Get code" feature to run with the Google GenAI SDK.

⚠️ Researchers disclosed an indirect prompt-injection flaw that allowed Google Gemini to bypass calendar privacy controls and exfiltrate meeting data. A crafted Google Calendar invite could hide a natural-language payload that Gemini later parsed, summarized, and wrote into new events whose descriptions leaked private meeting content. Miggo Security reported the issue and said it has been responsibly disclosed and addressed, highlighting how AI-native features increase the attack surface when assistants can read, summarize, and write into productivity services.

🤖 Google is testing new Skills for its Gemini AI in Chrome that enable the assistant to perform tasks automatically inside the browser. A hidden page, chrome://skills, has been identified and appears to let users add Skills with a name and instructions while the feature is being internally tested. Currently, Gemini in Chrome acts as a helper on desktop in the US, summarizing pages, explaining content, and combining information from multiple tabs. Google plans to evolve Gemini into an agent that will work more closely with apps like Calendar, YouTube, and Maps, though rollout timing is still unclear.

🤖 Google is testing integration of Gemini into Chrome for Android, with Chromium source references indicating an agentic feature codenamed Glic. A Google engineer noted the browser binary increases because of the added support code, suggesting significant new functionality. The integration may provide contextual, agent-like actions such as page summaries and follow-up queries, similar to mobile copilots. No release timetable has been announced.

🔐 Google is rolling out a new Personal Intelligence capability in Gemini that can access information from Gmail, Google Photos, Search, YouTube and other Google products to generate more personalized responses. The feature is opt-in, off by default, and users can choose which apps to connect, disconnect them, or turn the feature off at any time. Google illustrates uses such as pulling tire specifications from photos and emails or extracting a license plate from an image to confirm vehicle details. The functionality is launching as a U.S. beta for eligible subscribers, and Google warns that the model can still produce inaccuracies or over-personalization, inviting users to provide feedback.

🟢 Apple and Google confirmed a multi-year collaboration that will bring Google's Gemini models and Google Cloud hosting to future versions of Siri and Apple Foundation Models. The move aims to address performance gaps after Apple’s in-house Siri models lagged behind rivals. Apple says Apple Intelligence will run on-device and on its Private Cloud Compute while foundation models are hosted on Google Cloud, and that user privacy remains a priority.

📝 Google is introducing an AI Inbox in Gmail that uses Gemini to surface prioritized briefings and summarize conversation threads with new AI Overviews. The feature appears above the traditional Inbox as a personalized briefing that highlights to-dos and VIP contacts inferred from email signals. AI Overviews are rolling out to all users at no cost, while AI Inbox is available to Google AI Pro and Ultra subscribers in the United States. Google says users can opt out and reiterated it will not train its AI models on user emails.

📉 New data from SimilarWeb shows ChatGPT's web market share fell to 64.5% in January 2026, down from 86.7% a year earlier, while Gemini rose to 21.5%. The report's timeline highlights steady gains for Gemini and smaller increases for Grok and DeepSeek, alongside a seasonal dip in usage over the holidays. Independent tests cited in the coverage praise Claude Code for complex coding and Gemini for image quality, and OpenAI is reportedly considering ads for ChatGPT amid rising competition.

🔍 Google Cloud describes how the AlloyDB AI natural language API translates user questions into SQL and how to tune it for near‑perfect accuracy in enterprise applications. The post outlines a hill‑climbing workflow that improves results by adding descriptive (table and column) and prescriptive (templates, facets) context, plus an automated value index for private terms. It highlights capabilities for business relevance, explainability, and verified results, and explains agent integration options such as the MCP Toolbox and Gemini Enterprise.

🛡️ Google Cloud has integrated Cloud API Registry into Vertex AI Agent Builder, giving administrators centralized governance over agent tools and a curated catalog developers can access via a new ApiRegistry ADK object. The update broadens ADK support — including Gemini 3 Pro/Flash and TypeScript — and improves state management, interactions, and recovery. An early A2UI toolkit and Interactions API support aim to simplify multimodal I/O and shared UI components. Agent Engine features such as Sessions and Memory Bank are GA, regional availability is expanding, and several pricing adjustments take effect in December 2025 and January 2026.

⚡ Gemini 3 Flash expands the Gemini 3 family with a low-latency, cost-efficient model tuned for high-frequency enterprise workflows. It combines Pro-grade reasoning with Flash-level speed to enable near real-time multimodal processing, rapid agentic coding, and responsive interactive agents without sacrificing accuracy. Available in Gemini Enterprise, Vertex AI, and Gemini CLI, it targets scale and affordability for production deployments.