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Google Research Open-Sources the Coral NPU Platform to Help Build AI into Wearables and Edge Devices
Coral NPU is an open-source full-stack platform designed to help hardware engineers and AI developers overcome the limitations that prevent integrating AI in wearables and edge devices, including performance, fragmentation, and user trust.
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Google Introduces LLM-Evalkit to Bring Order and Metrics to Prompt Engineering
Google has introduced LLM-Evalkit, an open-source framework built on Vertex AI SDKs, designed to make prompt engineering for large language models less chaotic and more measurable. The lightweight tool aims to replace scattered documents and guess-based iteration with a unified, data-driven workflow.
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Pixnapping: Side-Channel Vulnerability Allows Android Apps to Capture Sensitive Screen Data
A newly discovered class of attacks targets Android devices, allowing malicious apps to steal on-screen information from other apps using a technique known as pixel stealing. Dubbed Pixnapping, the attack leverages previously known side-channel vulnerabilities and affects virtually all apps, including Signal, Google Authenticator, Venmo, and many others.
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AWS Launches Amazon Quick Suite, an Agentic AI Workspace
AWS has launched Amazon Quick Suite, a new AI-powered workspace designed to connect company data, automate workflows, and perform actions across business applications.
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The New Data Commons MCP Server Unlocks a Wealth of Public Datasets for AI Developers
Google has recently introduced the Data Commons Model Context Protocol (MCP) Server, a tool that enables AI developers and researchers to easily access the public dataset collection available through Data Commons.
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New DNS Armor Service Helps Google Cloud Workloads Preemptively Block Cyber Threats
Google Cloud's DNS Armor, in partnership with Infoblox, offers a vital layer of security against DNS-based threats for Google Cloud workloads. Utilizing advanced threat detection and machine learning, it identifies and mitigates risks like malware and data exfiltration, ensuring robust protection without impacting performance. Deployable as a managed service providing seamless control for users.
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DeepMind Releases Gemini Robotics-ER 1.5 for Embodied Reasoning
Google DeepMind introduced Gemini Robotics-ER 1.5, a new embodied reasoning model for robotic applications. The model is available in preview through Google AI Studio and the Gemini API.
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Google Stax Aims to Make AI Model Evaluation Accessible for Developers
Google Stax is a framework designed to replace subjective evaluations of AI models with an objective, data-driven, and repeatable process for measuring model output quality. Google says this will allow AI developers to tailor the evaluation process to their specific use cases rather than relying on generic benchmarks.
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Google's Agent Development Kit for Java Adds Integration with LangChain4j
The latest release of the Agent Development Kit for Java, version 0.2.0, marks a significant expansion of its capabilities through the integration with the LangChain4j LLM framework, which opens it up to all the large language models supported by the framework.
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Google Introduces VaultGemma: An Experimental Differentially Private LLM
VaultGemma is a 1B-parameter Gemma 2-based LLM that Google trained from scratch using differential privacy (DP) with the aim of preventing the model from memorizing and later regurgitating training data. While still a research model, VaultGemma could enable applications cases in healthcare, finance, legal, and other regulated sectors.
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Google Brings Optimized Resource Shrinking in Latest Android Gradle Plugin
The latest version of the Android Gradle Plugin (AGP) introduces an optimized resource-shrinking approach that unifies code optimization and resource shrinking, achieving up to 50% reduction in app size for apps that share significant resources and code across different form factor, says Google.
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Google DeepMind Launches EmbeddingGemma, an Open Model for On-Device Embeddings
Google DeepMind has introduced EmbeddingGemma, a 308M parameter open embedding model designed to run efficiently on-device. The model aims to make applications like retrieval-augmented generation (RAG), semantic search, and text classification accessible without the need for a server or internet connection.
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Google Spanner Unifies OLTP and OLAP with Columnar Engine
Google Spanner now features a columnar engine, allowing its distributed database to handle both OLTP and OLAP workloads on a single platform. This hybrid architecture eliminates the need for separate data warehouses and ETL pipelines. The engine's columnar storage and vectorized execution accelerate analytical queries up to 200x on live data, which is especially beneficial for AI applications.
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Android Studio Narwhal Extends Gemini AI Capabilities
The latest Android Studio Narwhal 3 Feature Drop introduces enhancements aimed at boosting developer productivity, including support for resizable Compose previews, new app Backup & Restore tools, and expanded Gemini capabilities such as automatic code generation from UI screenshots.
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Google Launches Gemini 2.5 Flash Image with Advanced Editing and Consistency Features
Google released Gemini 2.5 Flash Image (nicknamed nano-banana), its newest image generation and editing model. The system introduces several upgrades over earlier Flash models, including character consistency across prompts, multi-image fusion, precise prompt-based editing, and integration of world knowledge for semantic understanding.