All news with #gemini tag

🤖 The new Jules extension for Gemini CLI lets developers delegate routine engineering tasks—like bug fixes, dependency updates, and vulnerability patches—to an autonomous background agent. Jules runs asynchronously and can work on multiple GitHub issues in parallel, preparing fixes in isolated environments for review. It also composes with other extensions to automate security remediation, crash investigation, and unit test creation, returning ready-to-review branches so you can stay focused on higher-value work.

📚 Google Cloud has consolidated all technical documentation onto a new, dedicated platform to improve discoverability and support AI-driven experiences. By centralizing content on a unified site and integrating Gemini into authoring tools, Google aims to accelerate content creation and deliver context-aware assistance. The site offers faster performance, AI-powered translation across 12 languages, and preserves existing URL patterns to minimize disruption.

🔁 This Google Cloud post explains how enterprises can integrate Oracle Database with cloud-native analytics and AI by moving transactional data into BigQuery. It recommends ingestion patterns such as low-latency Change Data Capture via Datastream, batch staging to Cloud Storage, and notes ODBC/JDBC for interactive queries but not continuous replication. Once data resides in BigQuery, organizations can leverage Gemini-powered features, BigQuery ML, and AI agents (via the Agent Developer Kit) for natural-language exploration, assisted coding, multimodal analysis, and automated workflows across retail and education use cases.

🔍 The episode of The Agent Factory reviewed practical AI agents for data engineering and data science, highlighting demos that combine Gemini, BigQuery, Colab Enterprise, and Spanner-based graph queries. It showcased a BigQuery Data Engineering Agent that generates pipelines, time dimensions, and data-quality assertions from SQL, and a Data Science Agent that runs end-to-end anomaly detection in Colab. The post also covered CodeMender for autonomous code security fixes and a creative Spanner+ADK comic demo illustrating multi-region concepts.

🎨 Google showcased how five agencies used Gemini 2.5 Pro and complementary generative media models to produce ambitious ad campaigns that blend nostalgia, personalization, and scalable visual storytelling. Projects ranged from a retro AI radio for Slice to personalized "postcard" ads for Virgin Voyages, AI co-hosts and party themes for Smirnoff, crowdsourced mascots for Visit Orlando, and cinematic short film work with Moncler. Results highlighted rapid production, measurable engagement lifts, and cross-product workflows across Imagen, Veo, Lyria, and Vertex AI. The post invites brands to explore these tools for creative scale and efficiency.

🔬 Researchers at the Max Planck Institute of Biochemistry and Google Cloud created a Proteomics Lab Agent using the Agent Development Kit and Gemini models to provide personalized, multimodal AI guidance for mass spectrometry experiments. The agent analyzes recorded steps to generate publication-ready protocols, detect procedural errors, and capture tacit expertise into a searchable knowledge base. Open-sourced on GitHub, it aims to reduce troubleshooting time and improve reproducibility across labs.

🚀 Google has released the Google Gen AI .NET SDK, bringing unified access to Gemini on Google AI and Vertex AI for C#/.NET developers. The SDK is available via NuGet (dotnet add package Google.GenAI) and supports client creation with an API key or with project/location settings for Vertex AI. Examples demonstrate unary and streaming text generation, image generation, and configurable response schemas and generation settings. Google provides the API reference, GitHub source (googleapis/dotnet-genai) and a DemoApp with samples to help developers get started.

🔍 SmarterX uses Google Cloud to build custom LLMs that help retailers, manufacturers, and logistics companies manage regulatory compliance across product lifecycles. Using BigQuery, Cloud Storage, Gemini, and Vertex AI, the company ingests, normalizes, and indexes unstructured regulatory and product data, applies RAG and grounding, and trains customer-specific models. The integrated platform empowers subject matter experts to evaluate, correct, and deploy model updates without heavy engineering overhead.

🧠 In episode 73 of The AI Fix, hosts Graham Cluley and Mark Stockley explore a sweep of recent AI developments, from the rise of AI-generated content to high-profile figures relying on chatbots. They discuss research suggesting Google Gemini exhibits behaviours resembling pathological gambling and report on a Gemma-style model uncovering a potential cancer therapy pathway. The show also highlights legal and security concerns— including a lawyer criticised for repeated AI use, generals consulting chatbots, and techniques for poisoning LLMs with only a few malicious samples.

🏆 Google Cloud announced it was named a Leader in the 2025 IDC MarketScape for Worldwide GenAI Life-Cycle Foundation Model Software, spotlighting the Gemini model family and the Vertex AI platform. The post highlights Gemini 2.5’s expanded “thinking” capabilities and new cost controls such as thinking budgets and thought summaries for improved auditability. It also underscores native multimodality, creative variants like Nano Banana, developer tooling including the Gemini CLI, and enterprise features for customization, grounding, security, and governance.

🛠️ Google Cloud demonstrates how the Gemini CLI and GKE Inference Quickstart integrate via the Model Context Protocol (MCP) to streamline selecting, benchmarking, and deploying LLMs on GKE. The post outlines installation steps, example prompts to discover cost and performance trade-offs, and how manifests can be generated for target accelerators. This approach reduces manual tuning and provides data-driven recommendations to optimize cost-per-token while preserving performance.

📱 Stephen Balkam of FOSI argues that instead of blanket bans, families benefit from thoughtful restrictions, ongoing dialogue and tools that preserve teen agency. He highlights solutions such as Family Link and YouTube’s supervised experience and proposes that AI assistants (for example, Gemini or ChatGPT) could configure age-, app- and device-specific controls. He urges coordinated action from policymakers, teachers and parents and calls for impartial digital literacy and AI education frameworks.

🎬 This guide introduces Veo 3.1, Google Cloud's improved generative video model available in preview on Vertex AI, and explains how to move beyond "prompt and pray" toward deliberate creative control. It highlights core capabilities—high-fidelity 720p/1080p output, variable clip lengths, synchronized dialogue and sound effects, and stronger image-to-video fidelity. The article presents a five-part prompting formula and detailed techniques for cinematography, soundstage direction, negative prompting, and timestamped scenes. It also describes advanced multi-step workflows that combine Gemini 2.5 Flash Image to produce consistent characters and controlled transitions, and notes SynthID watermarking and certain current limitations.

🔒 Google for Education highlights built-in security, responsible AI, and partnerships to create safer digital learning environments for schools, classrooms, and families. Admins benefit from automated 24/7 monitoring, encryption, spam filtering, and security alerts; Google reports zero successful ransomware attacks on Chromebooks to date. Gemini for Education and NotebookLM provide enterprise-grade data protections with admin controls and age-specific safeguards, while family resources and a $25M Google.org clinics fund extend protection and workforce development.

🔒 Google for Education outlines built-in security, responsible AI, and community investments for Cybersecurity Awareness Month 2025. The post highlights admin controls and automated protections—24/7 monitoring, encryption, and security alerts—and notes zero reported successful ransomware attacks on Chromebooks to date. It emphasizes Gemini for Education and NotebookLM with enterprise-grade data protections and stricter policies for students under 18. The company also supports workforce development through a $25 million Google.org fund and 25 cybersecurity clinics.

🔒 Google Security Operations has been named a Leader in the 2025 Gartner Magic Quadrant for SIEM, recognized for both Ability to Execute and highest Completeness of Vision. The AI-driven platform leverages Gemini to automate data analysis, assist investigations with natural language, and orchestrate responses, combining curated detections, SOAR, and case-centric workflows. Customers report measurable outcomes — up to 240% ROI over three years, 50% faster MTTR, and 65% faster MTTI — driven by automation and an emerging agentic SOC vision.

🔐 Gemini Code Assist on GitHub for enterprises delivers AI-powered code reviews across GitHub Enterprise Cloud and privately hosted GitHub Enterprise Server. Organization-level controls let platform teams define a central style guide, set comment severity, and enforce baseline checks while preserving repo-level customization. Built on Google Cloud security and privacy commitments, the public preview includes higher pull-request quotas and stateless prompt handling to protect customer code.

🚀 Google Cloud announced enhancements to NetApp Volumes, adding unified iSCSI block and file storage to support SAN migrations and NetApp FlexCache for high-performance local caching in hybrid environments. The service integrates with Gemini Enterprise as a data store for retrieval-augmented generation, and includes large-capacity volumes, SnapMirror replication, and auto-tiering to optimize performance and costs.

🤖 Google Cloud Marketplace offers a vetted path for organizations to deploy, buy, or build AI agents that integrate with Gemini Enterprise, simplifying procurement and deployment. Listings are pre-validated for A2A integration and allow consolidated billing, while administrators can enforce governance using IAM and Private Marketplace controls. For partners, the Marketplace provides global reach, co-selling, and flexible monetization (subscription, usage-based, private offers, outcome-based) plus automated provisioning via Pub/Sub and the Cloud Commerce Partner Procurement API.

🚀 Gemini Enterprise is presented as Google’s unified, enterprise-grade AI front door that integrates advanced models, a no-code workbench, pre-built and customizable agents, secure data connectors, centralized governance, and an open partner ecosystem. The chat-first interface works across Google Workspace and Microsoft 365 and adds multimodal agents for text, image, video, and speech. Google highlights developer tooling, open agent protocols, agent monetization, and customer deployments to accelerate end-to-end workflow automation and auditable governance.