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Mar 26 medium.com 2 min read

How JPMorgan Uses AI to Save 360,000 Legal Hours a Year

JPMorgan Chase implemented an AI platform called COiN (Contract Intelligence) using NLP and machine learning to automate legal document analysis, saving over 360,000 hours annually and reducing compliance errors by 80%. …

AI · Development Editorial Team
Mar 25 gov.uk 3 min read

UK AI Adoption Research: Current State and Barriers to Business Implementation

Comprehensive research by the UK Department for Science, Innovation & Technology reveals that only 16% of UK businesses currently use AI, with natural language processing being the most common application. The study …

AI · Data Editorial Team
Mar 19 anthropic.com 4 min read

How We Built Our Multi-Agent Research System

Anthropic shares the engineering challenges and lessons learned from building Claude’s Research feature, a multi-agent system that uses multiple AI agents working in parallel to explore complex topics more …

AI · Architecture Editorial Team
Mar 18 arxiv.org 4 min read

Language Model Teams as Distributed Systems: A Framework for Multi-Agent Coordination

This research proposes using distributed systems theory as a principled framework for designing and evaluating LLM teams, demonstrating that coordination challenges like consistency conflicts, communication overhead, and …

AI · Architecture Editorial Team
Mar 18 towardsdatascience.com 5 min read

Generating Consistent Imagery with Gemini: A Practical Guide to Building a Prompt-Based Generation Pipeline

A comprehensive guide to using Gemini 2.5 Flash Image (Nano Banana) for generating consistent imagery from archive photos, demonstrating how to build a prompt-based pipeline that preserves character features across …

AI · Development Editorial Team
Mar 17 link.springer.com 3 min read

DRAGON-AI: Using Large Language Models and RAG for Automated Ontology Generation

DRAGON-AI is a novel method that employs Large Language Models and Retrieval Augmented Generation to automatically generate ontology components including relationships, definitions, and logical axioms. The system …

AI · Data Editorial Team
Mar 17 journals.lib.washington.edu 4 min read

The Integration of Artificial Intelligence and Ontologies: Transforming Knowledge Representation and Application

This comprehensive review examines the bidirectional relationship between AI techniques and ontologies, exploring how machine learning contributes to automated ontology construction while ontologies enhance AI system …

AI · Data Editorial Team
Mar 15 youtu.be 4 min read

Exploiting Shadow Data in AI Models: Illuminating the Dark Corners of AI Security

A comprehensive exploration of how private data can be extracted from AI systems through various attack vectors including fine-tuned models, RAG systems, and vector embeddings. Demonstrates practical attacks against LLMs …

AI · Security Editorial Team
Mar 15 youtu.be 6 min read

The Dark Factory: Why Most Developers Are Getting Slower While AI Writes 90% of Code

While frontier teams like StrongDM operate fully autonomous ‘dark factories’ where AI writes and ships code without human intervention, most developers using AI tools are actually getting 19% slower. This …

Development · AI Editorial Team
Mar 15 arxiv.org 3 min read

GenCAD: Transforming Images into Editable CAD Models with AI-Powered Generation

GenCAD introduces a novel AI framework that uses transformer-based contrastive learning and diffusion models to generate parametric CAD command sequences from image inputs, enabling the creation of editable 3D shapes for …

AI · Development Editorial Team
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