Instead of struggling with top companies whose details are available everywhere. I thought of starting out with startups on my list. So, I got 35 from my list of companies and easily got their ...

Young coding whizzes Neth Dharmasiri and Chinmay Lal believe learning the language behind computer software shouldn't depend ...

Researchers found a LinkedIn phishing campaign delivering a remote access trojan via DLL sideloading, WinRAR SFX files, and ...

Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...

I'm not a programmer, but I tried four vibe coding tools to see if I could build anything at all on my own. Here's what I did and did not accomplish.

Continuous tech-debt monitoring & governance Tech debt removal is typically reactive and ad-hoc exercise. AI can help run periodic scans, update debt scores, and feed insights into tech governance ...

A Competitive Takeout Program designed to help organizations escape the high cost and complexity of legacy metadata ...

To generate unconditional samples, please run the UnconditionalDiffusionTraining_and_Generation/scripts/inference.py script python UnconditionalDiffusionTraining_and ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

MCP (Model Context Protocol) is an emerging standard for AI tools and resources. The standard is compatible with normal REST API servers, but adds extra metadata to describe tools, resources, and ...