Learning science consistently shows us that true learning requires active engagement. This is fundamental to how Gemini helps you learn. Going beyond simple text and sta…
Here are Google’s latest AI updates from November 2025
Author(s): Samvardhan Singh Originally published on Towards AI. Learn how to build a Custom Node for Automated AI Infrastructure Monitoring and Neural Network Training Pipeline Diagnostics If you’re not a medium member, access this article for free here. image by authorThis article explores n8n, a powerful open-source workflow automation platform, detailing its architecture and capabilities for building custom nodes to enhance automated AI infrastructure monitoring and neural network training diagnostics. The article emphasizes n8n’s extensibility and modular development […]
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California’s recent wildfires were fought by over 780 inmate firefighters who received rigorous taxpayer-funded training. But until recent reforms, many of these trained firefighters faced insurmountable barriers to employment after release—state licensing laws blocked them from the very careers they’d prepared for. lead , Cato scholar Stephen Slivinski examines this issue in a new Washington Post opinion piece, revealing how occupational licensing laws create employment barriers for 70 million Americans with criminal records. The evidence is clear: employment is […]
Artificial intelligence is changing the way businesses store and access their data. That’s because traditional data storage systems were designed to handle simple commands from a handful of users at once, whereas today, AI systems with millions of agents need to continuously access and process large amounts of data in parallel. Traditional data storage systems now have layers of complexity, which slows AI systems down because data must pass through multiple tiers before reaching the graphical processing units […]
This article introduces the Gaussian Mixture Model as a natural extension of k-Means, by improving how distance is measured through variances and the Mahalanobis distance. Instead of assigning points to clusters with hard boundaries, GMM uses probabilities learned through the Expectation–Maximization algorithm – the general form of Lloyd’s method. Using simple Excel formulas, we implement EM step by step in 1D and 2D, and we visualise how the Gaussian curves or ellipses move during training. The means shift, […]
Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical researchers take when running a new study involving biomedical images. For instance, to determine how the size of the brain’s hippocampus changes as patients age, the scientist first outlines each hippocampus in a series of brain scans. For many structures and image types, this is often a manual process that can be extremely time-consuming, especially if the regions […]
A robot searching for workers trapped in a partially collapsed mine shaft must rapidly generate a map of the scene and identify its location within that scene as it navigates the treacherous terrain. Researchers have recently started building powerful machine-learning models to perform this complex task using only images from the robot’s onboard cameras, but even the best models can only process a few images at a time. In a real-world disaster where every second counts, a search-and-rescue […]
As expected and following multiple reports, OpenAI officially announced the GPT-5.2 model. For those unaware, it’s a product that the company fast-tracked out of the heat it’s facing from the success of the latest models from Google and Anthropic. Not to forget, the GPT-5.2 is OpenAI’s second biggest update since the company officially launched GPT-5 in August. GPT-5.2 is here with improved raw performance results In the announcement, OpenAI describes GPT-5.2 as its “most capable model series yet […]