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The Verge
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Google will let you make AI podcasts from Gemini’s Deep Research
- Google's Gemini app now allows you to generate Audio Overviews based on Deep Research.
- Users can transform slides and documents into AI podcast-like conversations.
- Gemini, Google's agentic AI feature, can explore specific topics and generate detailed reports.
- After generating a report, users can listen to an Audio Overview based on the research.
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Arstechnica
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Italy demands Google poison DNS under strict Piracy Shield law
- Italy has ordered Google to poison its public DNS servers as part of the Piracy Shield law.
- The Court of Milan issued this ruling after a complaint that Google failed to block pirate websites related to illegal streaming of Serie A football matches.
- DNS poisoning, or blocking content via DNS, has been criticized for its messy and indiscriminate blocking of entire domains.
- Italian ISPs previously blocked the entire Google Drive domain due to copyright infringement concerns.
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Digitaltrends
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Google Messages could soon let you watch YouTube right in the chat
- Google Messages is bringing back the YouTube miniplayer feature.
- The miniplayer allows users to watch YouTube videos within the chat interface.
- Recent app teardowns indicate Google is working on an improved picture-in-picture player for YouTube in Messages.
- No official release date has been announced, and it is unclear if the feature can be disabled.
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Sdtimes
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Mar 21, 2025: AI updates from the past week — Anthropic web search, Gemini Canvas, new OpenAI audio models, and more
- Anthropic's Claude can now search the web to generate up-to-date and relevant responses, citing web sources for fact-checking.
- Google launches Canvas to facilitate collaboration with Gemini, offering an interactive space to create and refine code.
- OpenAI introduces new speech-to-text and text-to-speech models for enhanced voice agent capabilities, including improved transcription quality.
- Nvidia announces AI advancements at GTC, such as AI-Q Blueprint and Llama Nemotron open reasoning AI models.
- IBM Research reveals the Agent Communication Protocol (ACP) for standardized agent communication, enhancing interoperability and development simplicity.
- Oracle introduces AI Agent Studio for creating, extending, and managing AI agents within the Oracle Fusion Cloud Applications Suite.
- WSO2 updates AI-powered IDP Choreo with customizable CI pipelines, AI-driven cost insights, and other new features.
- Stravito enhances its generative AI assistant with Focus Mode for deep analysis, Snapshots for instant report summaries, and support for over 100 languages.
- These AI updates represent advancements in various aspects of AI technology, catering to developers and enterprises seeking innovative AI solutions.
- The developments aim to streamline processes, enhance collaboration, improve user experience, and enable more efficient use of AI in different applications.
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Medium
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Google Tensor G5: A Major Shift in Chip Manufacturing | VBM
- Google has partnered with TSMC to manufacture the Tensor G5, moving away from Samsung.
- The Tensor G5 will be fabricated using TSMC’s advanced 3nm-class process, promising improved performance and energy efficiency.
- Google's strategic shift to TSMC reflects their ambition to compete effectively with leaders like Apple and Qualcomm.
- Google I/O 2025 and Google Cloud Next 2025 are upcoming events showcasing the company's latest advancements in AI, Android, cloud computing, and more.
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Cloudblog
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Build GraphRAG applications using Spanner Graph and LangChain
- Spanner Graph integrates graph, relational, search, and AI capabilities for scalable data management, with GraphRAG leading in question-answering systems extraction.
- LangChain and Spanner Graph are demonstrated to build robust GraphRAG applications for extracting insights in interconnected data.
- RAG systems improve performance by querying external data during inference and integrating it for contextually relevant responses.
- GraphRAG enhances context retrieval by creating knowledge graphs from varied data sources for detailed responses in gen AI applications.
- LangChain simplifies building RAG apps by integrating data sources and models, while Spanner Graph provides scalability and reliability.
- Building a retail application using GraphRAG enables a contextualized understanding of data relationships like product specifications and customer preferences.
- Steps involve transforming data into a knowledge graph, generating vector embeddings for semantic search, storing the graph in Spanner Graph, and inspecting the graph.
- Retrieval of context in GraphRAG applications is demonstrated using SpannerGraphVectorContextRetriever for enhanced answers.
- GraphRAG stands out by providing richer, more informative answers compared to conventional RAG, as showcased with a beginner drone recommendation scenario.
- Combining Spanner Graph and LangChain accelerates GraphRAG development for intelligent applications with reliable data insights.
- To get started, the GitHub repository, reference notebook tutorial, and setup guide for Spanner Graph capabilities are recommended resources.
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Cloudblog
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106
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Mastering secure AI on Google Cloud, a practical guide for enterprises
- Organizations face challenges in implementing secure AI solutions due to data privacy and security concerns.
- A secure AI platform relies on infrastructure, data, security, and responsible AI (RAI) as key cornerstones.
- Protecting data integrity and ensuring privacy compliance are crucial for secure AI applications.
- Responsible AI emphasizes fairness, explainability, privacy, and accountability in AI systems.
- Key security considerations on Vertex AI include private networking, service control perimeters, and Firewall Rules.
- Using Cloud Load Balancer and integrated security tools like reCAPTCHA Enterprise and Model Armor enhances AI application security.
- Chrome Enterprise Premium implements a Zero Trust model for secure remote access to AI applications.
- Regular security assessments, IAM role enforcement, and penetration testing are recommended for Vertex AI deployments.
- Securing the AI/ML workflow on Vertex AI involves steps for development, code security, training, model protection, deployment, monitoring, and governance.
- Confidential Computing on Vertex AI encrypts data, ensures code integrity, and restricts data access for sensitive workloads.
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Cloudblog
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Building AI agents with Gen AI Toolbox for Databases and Dgraph
- Gen AI Toolbox for Databases, in partnership with Hypermode, expands its capabilities to support Dgraph, a fully open-source graph database for AI apps.
- Dgraph offers real-time performance, horizontal scalability, AI-native primitives, and flexible data modeling, making it ideal for recommendation systems and knowledge graphs.
- The integration between Dgraph and Toolbox simplifies configuration, offers production-ready infrastructure, and enhances enterprise-grade observability for application developers.
- A real-world use case is demonstrated where an ecommerce agent is built using a polyglot database approach involving AlloyDB for PostgreSQL, Dgraph for personalized recommendations, and LangChain for workflow orchestration.
- By modeling a product knowledge graph in Dgraph, developers can generate personalized recommendations using Dgraph Query Language (DQL) efficiently.
- Tools in Toolbox are defined using YAML, enabling parameterized database queries for seamless interaction with both PostgreSQL and Dgraph.
- LangChain framework is utilized to build the agent, connecting to the Toolbox server, loading the toolset, and implementing a chat interface using Gemini Pro LLM via Google's Vertex AI cloud service.
- Gen AI-powered shopping assistant created with Toolbox delivers natural language search capabilities, product information retrieval, personalized recommendations, and product reviews to enhance the user experience.
- Gen AI Toolbox for Databases simplifies database connectivity complexities, enabling developers to focus on delivering seamless user experiences with database-connected agents.
- Developers interested in building database-connected agents can explore Gen AI Toolbox with Dgraph support through various resources provided by Hypermode and Google.
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Cloudblog
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JetStream for GCE Disaster Recovery Orchestration: Protect and manage your critical workloads
- JetStream Software is partnering with Google Cloud to offer JetStream for Google Compute Engine Disaster Recovery Orchestration.
- The solution leverages Google Cloud's Asynchronous Replication for low RPO and RTO, ensuring data protection between regions.
- JetStream for GCE offers configuration management, failover and failback orchestration, continuous monitoring, and continuous replication for near-zero RTO.
- The solution allows organizations to conduct safe failover testing and is available on Google Cloud Marketplace.
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Cloudblog
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169
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Strengthening Google Developer Experts community with Google Cloud Champion Innovators
- Google is integrating the Google Cloud Champion Innovators (Champions) program into the Google Developer Experts (GDE) program.
- The GDE program has been a community for recognized experts in various Google technologies and developer-facing products for over 12 years.
- With the addition of Champions, the GDE program will grow to over 1,400 members, creating a single, powerful community.
- The integration aims to amplify the work of experts, enhance collaboration, and provide a stronger voice for developers within Google and the industry.
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Cloudblog
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363
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Introducing protection summary, a new Google Cloud Backup and DR feature
- Google Cloud Backup and DR introduces a new feature called protection summary.
- Protection summary provides a centralized view of backup configurations, identifies gaps in data protection, and enables action to improve resilience.
- It offers a consolidated, at-a-glance view of VM backup state, allowing easy identification of resources without backup configuration.
- The feature allows for the assessment and configuration of available backup options based on resource type.
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Siliconangle
1w
384
Image Credit: Siliconangle
It’s Jensen Huang’s AI world. We just live in it.
- Nvidia CEO Jensen Huang introduced new GPUs, AI supercomputers, and software at the GTC conference to enable AI factories and revenue growth.
- Nvidia made a $30 billion consortium investment and acquired synthetic data startup Gretel to strengthen its AI infrastructure.
- CoreWeave filed for a $2.7 billion IPO, showcasing continued demand for GPUs.
- Stealth AI use poses challenges for data security in companies.
- SoftBank acquired AI chipmaker Ampere Computing for $6.5 billion, aligning with the rising demand for AI chips.
- Google's $32 billion acquisition of cybersecurity startup Wiz indicates a focus on enhancing Google Cloud.
- The EU found Apple and Google in breach of antitrust rules, intensifying their campaign against U.S. Big Tech.
- Nvidia emphasized AI development at the GTC event, showcasing advancements in GPUs, AI models for robots, and silicon photonics switches.
- Nvidia's AI Factory concept focuses on generating AI models efficiently, necessitating powerful chips like the upcoming Blackwell Ultra and Rubin.
- The AI industry is seeing continued growth, with enterprises transitioning from AI prototypes to full production, although challenges in AI adoption persist.
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TechCrunch
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Inside the Google-Wiz acquisition and the deal’s biggest winners
- Google has acquired cloud security startup Wiz for $32 billion.
- Sequoia is the VC with the highest total payout, while Cyberstarts, an Israeli VC, had the largest percentage win.
- The Equity podcast also covers other topics, including Nvidia's GTC conference, the Klarna IPO, HR companies Rippling and Deel, and Waymo's deal with the San Francisco Airport.
- Stay tuned for the next episode of Equity, TechCrunch's flagship podcast.
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Gizchina
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115
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Google Pixel Phones Silently Get a Big GPU Boost Via Android Update
- Google Pixel phones have received a significant GPU boost through a recent Android update.
- Pixel users have reported higher GPU scores in benchmarks, showing improvements in performance.
- The boost in GPU performance is likely due to new GPU drivers in recent Android updates.
- This improvement in GPU power without hardware upgrades is a win for Pixel users.
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Cloudblog
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The three pillars of data-driven government
- Governments are working through growing pains in adapting Data & AI strategies to improve public services.
- Three core pillars for data-driven government: defining a government Data Access Platform (DAP), assembling a central DAP empowerment team, and enabling DAP-empowered ministry/government agency.
- The DAP should provide user-friendly access to government data, clear access routes, and robust governance protocols.
- Government agencies should focus on building analytic capabilities, ensuring data quality and security, integrating with the DAP, and developing in-house tools and workflows.
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