Data Mining
Data mining has emerged as the crucial technology that transforms raw data into actionable insights, helping businesses make better decisions, predict future trends, and gain competitive advantages in increasingly crowded markets. Introduction In today’s digital economy, data has become the new oil. But unlike oil, which requires drilling and refining, data requires a different kind of extraction: data mining . Everyday, organizations generate massive amounts of information from customer interactions, business operations, social media, and countless other sources. The challenge isn’t collecting data anymore — it’s making sense of it all . Data mining has emerged as the crucial technology that transforms raw data into actionable insights, helping businesses make better decisions, predict fu
Could not retrieve the full article text.
Read on Towards AI →Sign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
geminimodelneural network
March 2026 sponsors-only newsletter
<p>I just sent the March edition of my <a href="https://github.com/sponsors/simonw/">sponsors-only monthly newsletter</a>. If you are a sponsor (or if you start a sponsorship now) you can <a href="https://github.com/simonw-private/monthly/blob/main/2026-03-march.md">access it here</a>. In this month's newsletter:</p> <ul> <li>More agentic engineering patterns</li> <li>Streaming experts with MoE models on a Mac</li> <li>Model releases in March</li> <li>Vibe porting</li> <li>Supply chain attacks against PyPI and NPM</li> <li>Stuff I shipped</li> <li>What I'm using, March 2026 edition</li> <li>And a couple of museums</li> </ul> <p>Here's <a href="https://gist.github.com/simonw/8b5fa061937842659dbcd5bd676ce0e8">a copy of the February newsletter</a> as a preview of what you'll get. Pay $10/mont
How to Build Production Ready AgentScope Workflows with ReAct Agents, Custom Tools, Multi-Agent Debate, Structured Output and Concurrent Pipelines
In this tutorial, we build a complete AgentScope workflow from the ground up and run everything in Colab. We start by wiring OpenAI through AgentScope and validating a basic model call to understand how messages and responses are handled. From there, we define custom tool functions, register them in a toolkit, and inspect the auto-generated […] The post How to Build Production Ready AgentScope Workflows with ReAct Agents, Custom Tools, Multi-Agent Debate, Structured Output and Concurrent Pipelines appeared first on MarkTechPost .
Lichen as the common ancestor of all life on earth
I posit that the last universal common ancestor (LUCA) of all life on earth was a lichen, and that this simplifies a lot of the origin of life complexity. Let me explain why. All life is, of course, descended from one original organism. The last universal common ancestor (aka LUCA) is just that – the last point on a tree that has any surviving branches today. It’s not quite synonymous with “the first living organism”, but it’s probably close, since life differentiates quickly. It’s probably a single-celled microbe, since all of the early cladistic distinctions (bacteria, archaea, protists...) are microbes, so in the hunt for LUCA, we begin in the realm of cellular biology. “Mainstream” biology will tell you that this LUCA was an extremely minimal critter, probably sort of a cobbled-togethe
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Products
How to Build Production Ready AgentScope Workflows with ReAct Agents, Custom Tools, Multi-Agent Debate, Structured Output and Concurrent Pipelines
In this tutorial, we build a complete AgentScope workflow from the ground up and run everything in Colab. We start by wiring OpenAI through AgentScope and validating a basic model call to understand how messages and responses are handled. From there, we define custom tool functions, register them in a toolkit, and inspect the auto-generated […] The post How to Build Production Ready AgentScope Workflows with ReAct Agents, Custom Tools, Multi-Agent Debate, Structured Output and Concurrent Pipelines appeared first on MarkTechPost .
Lichen as the common ancestor of all life on earth
I posit that the last universal common ancestor (LUCA) of all life on earth was a lichen, and that this simplifies a lot of the origin of life complexity. Let me explain why. All life is, of course, descended from one original organism. The last universal common ancestor (aka LUCA) is just that – the last point on a tree that has any surviving branches today. It’s not quite synonymous with “the first living organism”, but it’s probably close, since life differentiates quickly. It’s probably a single-celled microbe, since all of the early cladistic distinctions (bacteria, archaea, protists...) are microbes, so in the hunt for LUCA, we begin in the realm of cellular biology. “Mainstream” biology will tell you that this LUCA was an extremely minimal critter, probably sort of a cobbled-togethe
How I Built an Autonomous AI Agent That Runs My Entire Digital Agency
<p><em>Claude Code + MCP servers + scheduled tasks = an agent that manages projects, writes content, analyzes data, and reports back — while I sleep.</em></p> <p>I run <a href="https://inithouse.com" rel="noopener noreferrer">Inithouse</a>, a digital agency with ~14 live products — all MVPs hunting for product-market fit. Think Lean Startup on steroids: rapid experiments, measure everything, kill what doesn't work.</p> <p>The problem? One human can't manage 14 products simultaneously. So I built an autonomous AI agent that does it for me.</p> <p>Here's the full technical breakdown.</p> <h2> The Architecture </h2> <p>The system runs on <strong>Claude Code</strong> (Anthropic's CLI agent) with <strong>MCP (Model Context Protocol) servers</strong> as connectors to external services. The agent
Bug Hunter: I Turned Every Website Into A Debugging Horror Game
<p><em>This is a submission for the <a href="https://dev.to/challenges/aprilfools-2026">DEV April Fools Challenge</a></em></p> <h2> What I Built </h2> <p>I built <strong>Bug Hunter</strong>, a Chrome extension that spawns crawling bugs on top of real websites so you can "debug" them by smashing them.</p> <p>It solves absolutely nothing in real life, which makes it perfect for this challenge.</p> <p>Open any page, start Bug Hunter, pick a tool, and hunt.<br><br> Smash bugs to lower your stress meter and boost score.<br><br> Miss too many and the page becomes a full-blown infestation.</p> <p>Delightfully useless? Yes.<br><br> Strangely therapeutic? Also yes.</p> <h2> Demo </h2> <p> <iframe src="https://www.youtube.com/embed/rvBXobETSqg"> </iframe> </p> <h2> Code </h2> <div class="ltag-github
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!