InfoQ Homepage Google Content on InfoQ
-
Google Cloud's AI Protection: a Solution to Securing AI Assets
Google Cloud introduces AI Protection, a solution to safeguard against generative AI threats. Managing AI risks through vulnerability assessments, security policies, and proactive threat management enhances asset protection. Integrating with Google’s Security Command Center offers a centralized view of IT posture and advanced security intelligence for robust AI system defense.
-
Google Introduces AI Co-Scientist System to Aid Scientific Research
Google has announced the development of an AI co-scientist system designed to assist scientists in generating hypotheses and research proposals. Built using Gemini 2.0, the system aims to accelerate scientific and biomedical discoveries by emulating the scientific method and fostering collaboration between humans and AI.
-
Google Enhances Data Privacy with Confidential Federated Analytics
Google has announced Confidential Federated Analytics (CFA), a technique designed to increase transparency in data processing while maintaining privacy. Building on federated analytics, CFA leverages confidential computing to ensure that only predefined and inspectable computations are performed on user data without exposing raw data to servers or engineers.
-
Google Introduces Widgets Quality Tiers
Google will start classifying all Android widgets in three quality tiers based on their adherence to best practices and widget guidelines, helping creators improve the user experiences of their widgets.
-
Google DeepMind Enhances AMIE for Long-Term Disease Management
Google DeepMind has extended the capabilities of its Articulate Medical Intelligence Explorer (AMIE) beyond diagnosis to support longitudinal disease management. The system is now designed to assist clinicians in monitoring disease progression, adjusting treatments, and adhering to clinical guidelines across multiple patient visits.
-
Google Enhances AlloyDB Vector Search with Inline Filtering and Enterprise Observability
Google enhanced its AlloyDB service with inline filtering and enterprise observability for vector search. This fully-managed PostgreSQL-compatible database now allows direct filtering during queries, offering improved speed and efficiency. Enhanced monitoring features provide deep insights, addressing scaling vector search operations challenges.
-
Google Cloud Launches Gen AI Toolbox for Databases
Google Cloud has announced the public beta launch of Gen AI Toolbox for Databases, an open-source server developed in collaboration with LangChain. This new tool is designed to help developers seamlessly integrate production-grade, agent-based generative AI applications with databases while ensuring secure access, scalability, and observability.
-
Google Cloud Introduces Quantum-Safe Digital Signatures in Cloud KMS to Future-Proof Data Security
Google has introduced quantum-safe digital signatures in its Cloud Key Management Service, adhering to NIST post-quantum cryptography standards. This vital update counters the imminent threats of quantum computing on traditional encryption methods, enabling organizations to integrate resilient, future-proof security measures seamlessly.
-
Google Gemini's Long-term Memory Vulnerable to a Kind of Phishing Attack
AI security hacker Johann Rehberger described a prompt injection attack against Google Gemini able to modify its long-term memories using a technique he calls delayed tool invocation. The researcher described the attack as a sort of social engineering/phishing attack triggered by the user interacting with a malicious document.
-
Google Releases Spanner Graph into General Availability
Google Cloud's Spanner Graph is now generally available, featuring enhancements like Graph Notebook, GraphRAG integration, and advanced schema management. This unified database combines graph, relational, and AI capabilities, ensuring high availability and scalability. Ideal for real-time analysis, it transforms use cases like fraud detection and recommendation engines.
-
Gemini 2.0 Family Expands with Cost-Efficient Flash-Lite and Pro-Experimental Models
Announced last December, the Gemini 2.0 family of models now has a new member, Gemini 2.0 Flash-Lite, which Google says is cost-optimized for large scale text output use cases and is now available in preview. Along with Flash-Lite, Google also announced Gemini 2.0 Pro.
-
Google's Vertex AI in Firebase SDK Now Ready for Production Use
Three months after its launch in beta, the Vertex AI in Firebase SDK is now ready for production, says Google engineer Thomas Ezan, who further explores three dimensions that are essential for its successful deployment to production: abuse prevention, remote configuration, and responsible AI use.
-
Google Releases Experimental AI Reasoning Model
Google has introduced Gemini 2.0 Flash Thinking Experimental, an AI reasoning model available in its AI Studio platform.
-
Android Studio Ladybug Update Adds Gemini Support, New Debugging Features, and More
In its recent update to Android Studio Ladybug (2024.2.2), Google has added new Gemini Code Transforms to modify, refactor, or create code, debugging and testing tools, and developer experience improvements. Additionally, the IDE adopts the latest IntelliJ 2024.2 platform release.
-
Google Expands Gemini Code Assist with Support for Atlassian, GitHub, and GitLab
Google recently announced support for third-party tools in Gemini Code Assist, including Atlassian Rovo, GitHub, GitLab, Google Docs, Sentry, and Snyk. The private preview enables developers to test the integration of widely-used software tools with the personal AI assistant directly within the IDE.