GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...

If I were learning AI from scratch, I’d focus first on building solid fundamentals in Python, math, and problem-solving ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

Working from home is great. Working from home and earning around $50 an hour is the dream, especially when you’re staring at ...

Carina Hong, 24, raised $64 million to build an AI mathematician that discovers new theorems and solves century-old problems.

Family vacations are thrilling as they bring in new places, stunning views, and memories that count. Nevertheless, every ...

Overview: The lesser-known Python libraries, such as Rich, Typer, and Polars, solve practical problems like speed, clarity, and workflow without added complexit ...

Send a note to Doug Wintemute, Kara Coleman Fields and our other editors. We read every email. By submitting this form, you agree to allow us to collect, store, and potentially publish your provided ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work with ...