Decode the AI buzzwords you see daily. Learn 10 essential terms, such as model, tokens, prompt, context window, and ...

Satya Nadella's message boldly claimed the AI discovery phase is over and demanded society focus on real-world integration.

The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...

In this video, we will about training word embeddings by writing a python code. So we will write a python code to train word embeddings. To train word embeddings, we need to solve a fake problem. This ...

Overview Python projects in 2026 emphasize hands-on learning through real-world use cases rather than purely academic examples.Beginner projects focus on logic ...

Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of ...

Security researchers uncovered a range of cyber issues targeting AI systems that users and developers should be aware of — ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

AI data trainer roles have moved from obscure contractor gigs to a visible career path with clear pay bands and defined ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

The CodeRabbit report found that AI-generated code falls short of meatbag-made code across the major issue categories. The bots created more logic and correctness errors (1.75x), more code quality and ...