Darktrace researchers say hackers used AI and LLMs to create malware to exploit the React2Shell vulnerability to mine ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

Google has introduced Agentic Vision for Gemini 3 Flash, a new capability that improves how the model understands and responds to image-based prompts.

Visualize the magnetic field generated by a current-carrying loop using Python simulation. This video demonstrates how electric current creates magnetic field lines, making core electromagnetism ...

In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...