114 related articles

Analysis of a Vermont chain pharmacy deploying AI for prescription review, inventory forecasting, and workforce relief—exploring opportunities, privacy risks, and HIPAA compliance challenges.

Deep dive into the PIRL reinforcement learning framework: how to smoothly transition from open-loop exploration to closed-loop RL, mitigating the exploration-exploitation dilemma and improving sample efficiency.

Deep analysis of Mondragon Corporation—the world's largest worker cooperative: its organizational structure, governance principles, operating model, and implications for decentralized collaboration.

Loop Engineering is a paradigm shift in AI usage. Learn how to build automated loops where agents explore, execute, and verify tasks autonomously, with a hands-on e-commerce case study.

Some AI companies are mass-purchasing physical books for destructive scanning and pulping to obtain training data, even targeting rare antiquarian volumes. This article analyzes the technical motivations, legal gray areas, and cultural preservation controversies.

Some AI companies are mass-purchasing physical books for destructive scanning and pulping—even rare and antiquarian volumes—to obtain training data, sparking heated cultural preservation debates.

A comprehensive guide to AI Agent architecture and development, covering automated marketing, intelligent customer service, and investment analysis scenarios with single and multi-agent collaboration.

Google faces legal action over alleged illegal retention of customer data. Analysis of compliance boundaries, historical privacy penalties, individual advocacy challenges, and how users can protect their data rights.

Explore how deliberately violating DDR4 timing rules enables running PrismML's Bonsai AI model inside DRAM, covering the principles, energy benefits, and challenges of processing-in-memory.

A systematic guide to AI Agent development covering core modules, framework selection, tool calling, data preparation, and production deployment to help developers build production-ready Agent applications.

Cursor users selecting Grok 4.5 find subagents secretly calling expensive Opus 5, consuming 11% quota per prompt. Analysis of model decoupling, cost transparency, and user strategies.

Perplexity Android widget showing random garbled images? Learn why OxygenOS upgrades cause widget rendering issues and how to fix them by removing, clearing cache, and disabling battery optimization.

How Pinterest engineers built Medic for Apache Spark — a multi-agent auto-diagnosis tool — covering the evolution from a single ReAct agent, observability, log denoising, and end-to-end testing.

Office CLI is an open-source GitHub Trending tool that lets AI Agents create Word, Excel, and PowerPoint files directly — with preview rendering and auto-checks, no Microsoft Office required.

Claude Code isn't just a chat AI—it can directly read projects, modify code, and run commands. This article compares Claude Code with regular AI across five dimensions to help you decide if it's worth trying.

Claude Code isn't just a chat AI—it can directly read projects, modify code, and run commands. This article compares Claude Code with ordinary AI across five dimensions: interaction, context, execution, memory, and tool calling.
Open Deep Research: A Complete Guide t…
A deep dive into LangChain's open-source project open_deep_research: an AI deep research agent built on LangGraph, supporting flexible multi-model and multi-search tool configuration, with 12,000+ stars.

Model performance gaps are closing. Real competitive advantage lies in portable AI agent architecture. Learn how to build a workspace that works across Claude Code, Codex, and beyond — no vendor lock-in.

Why do chatbots fail at long-horizon workflows? We compare Manus, Perplexity Comet, Claude, ChatGPT and more across task type, total cost, and automation level.

How to handle Agent infinite loops? This guide covers three-layer loop detection, four strategy-switching techniques, root cause analysis, and multi-layer fallbacks for building stable, production-grade Agent systems.