InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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QCon AI New York 2025 Schedule Published, Highlights Practical Enterprise AI
The QCon AI New York 2025 schedule is now live for its Dec 16-17 event. Focused on moving AI from PoC to production, the program offers a practical roadmap for senior engineers & tech leaders. It addresses the real-world challenges of building, scaling, and deploying reliable, enterprise-grade AI systems, helping organizations overcome the hurdles of productionizing their AI initiatives.
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GitHub Introduces New Embedding Model to Improve Code Search and Context
GitHub has introduced a new embedding model for Copilot, now integrated into Visual Studio Code. The model is designed to improve how Copilot understands programming context, retrieves relevant code, and suggests completions.
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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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Google DeepMind Launches Gemini 2.5 Computer Use Model to Power UI-Controlling AI Agents
Google DeepMind has recently released the Gemini 2.5 Computer Use model, a specialized variant of its Gemini 2.5 Pro system designed to enable AI agents to interact directly with graphical user interfaces. The new model allows developers to build agents that can click, type, scroll, and manipulate interactive elements on web pages.
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IBM Releases Granite-Docling-258M, a Compact Vision-Language Model for Precise Document Conversion
IBM Research has recently introduced Granite-Docling-258M, a new open-source vision-language model (VLM) designed for high-fidelity document-to-text conversion while preserving complex layouts, tables, equations, and lists.
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11 Sessions Not to Miss at QCon San Francisco 2025
As QCon San Francisco (Nov 17-21, 2025) approaches, the conference's program committee and track hosts are sharing their top picks from this year's lineup. Their selections span a wide range of topics, from AI-accelerated development and platform engineering to resilience patterns and career growth, all with QCon's signature focus on real-world case studies and lessons learned.
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Thinking Machines Releases Tinker API for Flexible Model Fine-Tuning
Thinking Machines has released Tinker, an API for fine-tuning open-weight language models. The service is designed to reduce infrastructure overhead for developers, providing managed scheduling, GPU allocation, and checkpoint handling. By abstracting away cluster management, Tinker allows fine-tuning through simple Python calls.
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Claude Sonnet 4.5 Ranked Safest LLM from Open-Source Audit Tool Petri
Claude Sonnet 4.5 has emerged as the best-performing model in ‘risky tasks’, narrowly edging out GPT-5 in early evaluations by Petri --- Anthropic’s new open-source AI auditing tool.
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Dreamer 4: Learning to Achieve Goals from Offline Data through Imagination Training
Researchers from DeepMind have described a new approach for teaching intelligent agents to solve complex, long-term tasks by training them exclusively on video footage rather than through direct interaction with the environment. Their new agent, called Dreamer 4, demonstrated the ability to mine diamonds playing Minecraft after being trained on videos, without ever actually playing the game.
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Vercel Introduces Drains for Unified Data Export
Vercel has released Vercel Drains, a system for exporting observability data from its platform into external services. The feature unifies logs, distributed traces, web analytics events, and performance metrics into a single streaming mechanism.
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Agoda Leverages ChatGPT in the CI/CD Process for SQL Stored Procedure Optimization
Agoda started utilizing ChatGPT to optimize SQL stored procedures (SP) as part of their CI/CD process. After introducing the automated LLM-assisted step, the company observed shortened stored procedure optimization times, which lightened the load on DB developers. Agora works on making ChatGPT more accessible for SP optimization outside of the CI/CD pipeline.
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Anthropic Reveals Three Infrastructure Bugs behind Claude Performance Issues
Anthropic recently published a postmortem revealing that three distinct infrastructure bugs intermittently degraded the output quality of its Claude models in recent weeks. While the company states it has now resolved those issues and is modifying its internal processes to prevent similar disruptions, the community highlights the challenges of running the service across three hardware platforms.
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Microsoft Announces Open-Source Agent Framework to Simplify AI Agent Development
Microsoft has announced the preview release of Microsoft Agent Framework, an open-source software development kit designed to simplify the creation and deployment of artificial intelligence agents for developers across all skill levels, as reported in official blog posts from the company's development teams.
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Microsoft Tests Microfluidic Cooling for Next-Generation AI Chips
Microsoft has announced progress on a new chip cooling approach that could help address one of the biggest bottlenecks in scaling AI infrastructure: heat. The company’s researchers have successfully demonstrated in-chip microfluidic cooling, a system that channels liquid coolant directly into etched grooves on the back of silicon chips.
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Perplexity Launches Search API to Power Next-Gen AI Applications
Perplexity has introduced the Search API, opening up access to the same infrastructure that underpins its public answer engine. With coverage of hundreds of billions of webpages and infrastructure tuned for AI-heavy workloads, the new API is aimed at developers who want real-time, reliable search results for building their own agents, applications, and retrieval-augmented pipelines.