InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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QCon London 2026: Practitioner-Led Tracks on Connectivity & Production AI Engineering
QCon London 2026 returns March 16–19 with 15 tracks for senior leads. Key sessions cover system integration via MCP, AI engineering, and debugging distributed systems. Explore modern security, Staff+ insights, and performance optimization with peer-led and practical discussions.
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Solving Fragmented Mobile Analytics: Uber’s Platform-Led Approach
Uber Engineering outlines its platform-led mobile analytics redesign, standardizing event instrumentation across iOS and Android to improve cross-platform consistency, reduce engineering effort, and provide reliable insights for product and data teams.
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Google Introduces Conductor, a Context-Driven Development Extension for Gemini CLI
Google has released Conductor, a new preview extension for Gemini CLI that introduces a structured, context-driven approach to AI-assisted software development. The extension is designed to address a common limitation of chat-based coding tools: the loss of project context across sessions.
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Google Releases Gemma Scope 2 to Deepen Understanding of LLM Behavior
Gemma Scope 2 is a suite of tools designed to interpret the behavior of Gemini 3 models, enabling researchers to analyze emergent model behaviors, audit and debug AI agents, and devise mitigation strategies against security issues like jailbreaks, hallucinations and sycophancy.
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FACTS Benchmark Suite Introduced to Evaluate Factual Accuracy of Large Language Models
A new industry benchmark aimed at systematically evaluating the factual accuracy of LLMs has been released with the launch of the FACTS Benchmark Suite. Developed by the FACTS team in collaboration with Kaggle, the suite expands earlier work on factual grounding and introduces a broader, multi-dimensional framework for measuring how reliably language models produce factually correct responses.
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Inside the Development Workflow of Claude Code's Creator
Claude Code's creator Boris Cherny described how he uses it at Anthropic, highlighting practices such as running parallel instances, sharing learnings, automating prompting, and rigorously verifying results to compound productivity over time.
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NVIDIA Releases Open Models, Datasets, and Tools across AI, Robotics, and Autonomous Driving
NVIDIA has released a set of open models, datasets, and development tools covering language, agentic systems, robotics, autonomous driving, and biomedical research. The update expands several existing NVIDIA model families and makes accompanying training data and reference implementations available through GitHub, Hugging Face, and NVIDIA’s developer platforms.
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MongoBleed Vulnerability Allows Attackers to Read Data from MongoDB's Heap Memory
MongoDB recently patched CVE-2025-14847, a vulnerability affecting multiple supported and legacy MongoDB Server versions. According to the disclosure, the flaw can be exploited remotely by unauthenticated attackers with low complexity, potentially leading to the exfiltration of sensitive data and credentials.
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Meta Applies Mutation Testing with LLM to Improve Compliance Coverage
Meta applies large language models to mutation testing through its Automated Compliance Hardening system, generating targeted mutants and tests to improve compliance coverage, reduce overhead, and detect privacy and safety risks. The approach supports scalable, LLM-driven test generation and continuous compliance across Meta’s platforms.
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DeepSeek-V3.2 Outperforms GPT-5 on Reasoning Tasks
DeepSeek released DeepSeek-V3.2, a family of open-source reasoning and agentic AI models. The high compute version, DeepSeek-V3.2-Speciale, performs better than GPT-5 and comparably to Gemini-3.0-Pro on several reasoning benchmarks.
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Intel DeepMath Introduces a Smart Architecture to Make LLMs Better at Math
Intel has announced DeepMath, a lightweight agent built on Qwen3-Thinking that specializes in solving mathematical problems. To address common limitations of LLMs in math reasoning, DeepMath generates small Python scripts that support and enhance its problem-solving process.
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Google’s Eight Essential Multi-Agent Design Patterns
Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential pipelines to human-in-the-loop architecture. The guide provides concrete explanations of each pattern along with sample code for Google's Agent Development Kit.
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DuckDB's WebAssembly Client Allows Querying Iceberg Datasets in the Browser
DuckDB has recently introduced end-to-end interaction with Iceberg REST Catalogs directly within a browser tab, requiring no infrastructure setup. The new feature leverages DuckDB-Wasm, a WebAssembly port of DuckDB that runs in the browser, allowing users to query, read, and write Iceberg tables in a serverless manner.
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Microsoft Research Develops Novel Approaches to Enforce Privacy in AI Models
A team of AI researchers at Microsoft introduces two novel approaches for enforcing contextual integrity in large language models: PrivacyChecker, an open-source lightweight module that acts as a privacy shield during inference, and CI-CoT + CI-RL, an advanced training method designed to teach models to reason about privacy.
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Swiggy Rolls out Hermes V3: from Text-to-SQL to Conversational AI
Swiggy has released Hermes V3, a GenAI-powered text-to-SQL assistant that enables employees to query data in plain English. The Slack-native system combines vector retrieval, conversational memory, agentic orchestration, and explainability to improve SQL accuracy and support multi-turn analytical queries.