InfoQ Homepage Artificial Intelligence Content on InfoQ
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/articles/spotting-image-differences-visual-software-testing-ai/en/smallimage/spotting-image-differences-visual-software-testing-ai-thumbnail-1749461791635.jpg)
Spotting Image Differences in Visual Software Testing with AI
Current AI, including multimodal models, fails at robust visual regression testing, missing structural changes that pixel-based tools flag as false positives. This article proposes a CNN-based solution to compare image segments, tolerating minor displacements. For larger distortions, a multi-scale algorithm realigns the images before comparison, isolating the true differences.
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Developer Joy: a Better Way to Boost Developer Productivity
In this article, Holly and Trisha explore why joy isn’t a distraction from productivity: it’s the secret ingredient. From debugging brain waves in the middle of a jog to cutting out test flakiness, they explain how to reclaim developer satisfaction and boost output by embracing curiosity, minimizing friction, and giving ourselves a break.
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/articles/practical-design-patterns-modern-ai-systems/en/smallimage/practical-design-patterns-modern-ai-systems-thumbnail-1747122253617.jpg)
Beyond the Gang of Four: Practical Design Patterns for Modern AI Systems
In this article, author Rahul Suresh discusses emerging AI patterns in the areas of prompting, responsible AI, user experience, AI-Ops, and optimization, with code examples for each design pattern.
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/articles/lcm-paradigm-shift-ai-reasoning/en/smallimage/lcm-paradigm-shift-ai-reasoning-thumbanil-1747043782723.jpg)
Large Concept Models: a Paradigm Shift in AI Reasoning
Differently from LLMs, Large Concept Models (LCMs) use structured knowledge to grasp relationships between concepts, enhancing the decision-making process and providing a transparent reasoning audit trail. Using LCMs with LLMs can facilitate building AI systems that can analyze complex scenarios and effectively communicate insights, driving towards developing more reliable and explainable AI.
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/articles/best-practices-energy-efficient-ai-ml-systems/en/smallimage/best-practices-energy-efficient-ai-ml-systems-thumbnail-1746711047911.jpg)
Best Practices to Build Energy-Efficient AI/ML Systems
In this article, author Lakshmithejaswi Narasannagari discusses the sustainable innovations in AI/ML technologies, how to track carbon footprint in all stages of ML systems lifecycle and best practices for model development and deployment.
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InfoQ Culture and Methods Trends Report - 2025
This report summarizes how the InfoQ Culture and Methods editorial team sees the ongoing and emergent trends in the culture and methods space.
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Domain-Driven RAG: Building Accurate Enterprise Knowledge Systems through Distributed Ownership
Retrieval augmented generation (RAG) can help reduce LLM hallucination. Learn how applying high-quality metadata and distributing ownership of documents and prompts to domain experts can further increase accuracy in RAG applications. An additional layer of intelligence can use metadata to focus RAG searches on a specific domain for even better results.
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/articles/ocr-ai-document-processing/en/smallimage/ocr-ai-document-processing-thumbnail-1745914250509.jpg)
Beyond OCR: How AI is Transforming Document Processing for Enterprise Applications
In this article, author Jitender Jain discusses AI driven document processing techniques for an intelligent, adaptive approach to document processing, to interpret documents in context and not just by visual structure.
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InfoQ Software Architecture and Design Trends Report - 2025
The InfoQ Trends Reports offer InfoQ readers a comprehensive overview of key topics worthy of attention. The reports also guide the InfoQ editorial team towards cutting-edge technologies in our reporting. In conjunction with the report and trends graph, our accompanying podcast features insightful discussions among the editors digging deeper into some of the trends.
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/articles/distributed-cloud-privacy-ai/en/smallimage/Distributed-Cloud-Computing-Enhancing-Privacy-with-AI-Driven-Solutions-thumbnail-1745331120613.jpg)
Distributed Cloud Computing: Enhancing Privacy with AI-Driven Solutions
Distributed cloud, PETs, and AI enable secure, private data processing. This integration enhances collaboration, security, and compliance across marketing, finance, and healthcare, addressing the growing need for data protection.
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/articles/multimodal-rag-advanced-information-retrieval/en/smallimage/multimodal-rag-advanced-information-retrieval-thumbnail-1743669544294.jpg)
Bridging Modalities: Multimodal RAG for Advanced Information Retrieval
In this article, the authors discuss how multi-model retrieval augmented generation (RAG) techniques can enhance AI by integrating multiple modalities like text, images, and audio for deeper contextual understanding, with help of a practical example of a healthcare application.
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/articles/beyond-chatbots-domain-specific-genai/en/smallimage/beyond-chatbots-domain-specific-genai-thumbnail-1743423910267.jpg)
Beyond Chatbots: Architecting Domain-Specific Generative AI for Operational Decision-Making
This article explores the use of domain-specific Generative AI, models that understand operational constraints, real-world dynamics, and business rules to generate executable strategies, not just text descriptions. These models require significantly smaller datasets and fewer parameters, making them cost-effective while enabling AI-driven core business decision intelligence at scale.