Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks ...

Statista and Grand View Research have compiled new market data that shows the global IT outsourcing market was expected to be worth between USD 780 billion and USD 800 billion in 2025, and it will ...

Great models die in deployment, so we built a golden path that turned weeks of ML friction into days — and unlocked nonstop ...

The blog recommended that users learn to train their own AI models by downloading the Harry Potter dataset and then uploading text files to Azure Blob Storage. It included example models based on a ...

The company disclosed today that its AI products’ annualized recurring revenue has increased from $1 billion in early December to $1.4 billion. Databricks’ overall run rate stands at $5.4 billion, a ...

While Anthropic’s Claude Code grabbed headlines, IBM has been deploying its own generative AI solution, Watsonx Code Assistant for Z, designed to modernize the very mainframes it built. Unlike general ...

Google rolled out Gemini 3.1 Pro yesterday, touting a 77.1% score on novel logic puzzles that models can't just memorize—more than double 3 Pro's result—and record marks for expert-level scientific ...

The unified JavaScript runtime standard is an idea whose time has come. Here’s an inside look at the movement for server-side JavaScript interoperability.

Explore three high-paying remote jobs offering eye-watering salaries of up to $300,000+ in 2026 that offer visa sponsorship. Plus, see if you have what it takes to apply.

In the quest to get as much training data as possible, there was little effort available to vet the data to ensure that it was good.

SQL will continue to serve as the lingua franca but the world of data will speak in graphs, vectors, LLMs too– and relational databases will stay but not in the same chair. Here’s why?