By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

This video is a tutorial on how to enter diagnostic mode on a Whirlpool or Maytag washer with this style console, as its ...

Google and Microsoft's new WebMCP standard lets websites expose callable tools to AI agents through the browser — replacing costly scraping with structured function calls.

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Using OpenAI tools as his research collaborator, Anshul Bhatt mastered complex code and turned ambitious ideas into working ...

Introduction: Why Coupon Reliability Has Become a Data Problem As online shopping grows around the world, finding good deals has gotten messy. Shoppers now see ...

Learn how frameworks like Solid, Svelte, and Angular are using the Signals pattern to deliver reactive state without the ...

AI isn't a single capability, and "using AI" isn't a strategy. The strategy is to know what we're building, why it matters ...

A critical take on Matt Shumer’s viral AI manifesto, examining labor market disruption, hype cycles and the real path to responsible AI adoption.

Roles that require using judgment, taking risk ownership, and architectural thinking yield the highest bonuses, according to data from Foote Partners.

College is expensive. Going back for four years isn’t realistic when you’re already juggling bills, kids, or a job you’ve ...