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Google Unveils Project Suncatcher, Envisioning AI Models Running in Space
Google has unveiled Project Suncatcher, a research initiative exploring how solar powered satellite constellations equipped with Tensor Processing Units TPUs could one day enable large scale artificial intelligence computation in space.
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Go's New Green Tea Garbage Collector May Improve Performance up to 40%
Go 1.25 introduces a new experimental garbage collector that delivers up to 40% faster than the current implementation, bringing a significant performance improvement for GC-heavy workloads.
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Google Cloud Introduces Chaos Engineering Framework and Recipes for Distributed Systems
Google Cloud's Expert Services Team has released a detailed guide on chaos engineering for cloud-based distributed systems. It highlights that the intentional creation of failures is essential for developing resilient architectures. The initiative provides open-source recipes and helpful guidance for applying controlled disruption testing in Google Cloud environments.
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Android GenAI Prompt API Enables Natural Language Requests with Gemini Nano
The ML Kit GenAI Prompt API, now available in alpha, enables Android developers to send natural language and multimodal requests to Gemini Nano running on-device, extending the text summarization and image description capabilities introduced with the initial GenAI release.
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Google Cloud KMS Launches Post-Quantum KEM Support to Combat "Harvest Now, Decrypt Later" Threat
Google Cloud's Key Management Service now supports post-quantum Key Encapsulation Mechanisms (KEMs), addressing future threats from quantum computing. This update empowers organizations to prepare against "Harvest Now, Decrypt Later" attacks while ensuring long-term data confidentiality.
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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.