Towards AI

Author(s): Praveen Bhavani Originally published on Towards AI. Principal Component Analysis (PCA) is one of the most widely used techniques for dimensionality reduction and feature extraction. PCA transforms correlated variables into a smaller set of uncorrelated variables called principal components, while preserving as much information (variance) as possible. PCA is fundamenta...

Author(s): yooiken Originally published on Towards AI. Build a Zero-Cost Web Automation Pipeline With OpenRouter, OpenClaw, and MediaUse I have become less interested in whether a cheap model can “browse the web” and more interested in whether it can run a boring workflow correctly every morning. That is a different problem. Most low-cost or free LLMs fail at web automation beca...

Last Updated on June 8, 2026 by Editorial Team Author(s): Chew Loong Nian – AI ENGINEER Originally published on Towards AI. I Gave Qwen3.7-Plus a Screenshot and It Found the Exact Pixel to Click for $0.40 I uploaded a messy AWS console screenshot and asked one question: which pixel do I click to launch an instance? The model came back with click at (x=1147, y=283). I overl...

Last Updated on June 8, 2026 by Editorial Team Author(s): Suchit Majumdar Originally published on Towards AI. Beyond the Prompt: Why Autonomous AI Agents Are Replacing the Chatbot In May 2025, Sebastian Siemiatkowski — the same Klarna CEO who fifteen months earlier had told the world that one OpenAI-powered assistant was doing the work of 700 customer service agents — quietly st...

Last Updated on June 8, 2026 by Editorial Team Author(s): Chew Loong Nian – AI ENGINEER Originally published on Towards AI. Why this matters right now A Chinese lab just shipped a terminal coding agent that does almost everything Claude Code does, released the entire thing under the MIT license, and pointed it at a model that costs $0.60 per million output tokens. Claude C...