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, ...

Overview: Structured online platforms provide clear, step-by-step learning paths for beginners.Real progress in data science comes from hands-on projects and co ...

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

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 ...

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 ...

India is a global AI adoption leader, ranking second only to the US in enterprise AI/ML transactions. A new report highlights significant security challenges despite this growth. Agentic AI is being ...

Given the speed with which agentic AI functions, it is vital for the board to define authority and assign responsibility ...

According to the report, Indian enterprises logged a staggering 82.3 billion AI/ML transactions between June and December 2025.

How will you know your AI agent is ready to launch? Here’s the release-readiness checklist every devops team needs.