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

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

Learn how to use Python as a vector calculator for electric fields. This video shows how to represent charges and position vectors, compute field direction and magnitude, and solve problems faster ...

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 ...

Overview Data science roles are expanding as AI tools handle more routine work.Foundation models are replacing task-by-task ...

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.

UC San Diego is trying to solve a math problem. The university said a growing number of students are starting their freshman year lacking high school math proficiency. KPBS reporter Jacob Aere says ...

Going to the database repeatedly is slow and operations-heavy. Caching stores recent/frequent data in a faster layer (memory) ...

If you use consumer AI systems, you have likely experienced something like AI "brain fog": You are well into a conversation when suddenly the AI seems ...