Moving beyond tutorials into real-world coding challenges can rapidly boost your skills, confidence, and adaptability. By facing messy data, unexpected bugs, and incomplete instructions, you learn to ...

From greedy shortcuts to dynamic programming guarantees, algorithm design techniques are the backbone of efficient problem-solving in computer science. Understanding when and how to apply each ...

This post was updated Jan. 30 at 9:46 p.m. Problem solving was in full swing during the Association for Computing Machinery at UCLA’s inclusivity-focused coding event Jan. 25. Around 100 students ...

OpenAI has launched GPT-5.5, its latest artificial intelligence model, boasting improved reasoning capabilities and more ...

Machine learning and deep learning have become an important part of many applications we use every day. There are few domains that the fast expansion of machine learning hasn’t touched. Many ...

What happens when you put Ohio’s bright young minds in a room with real world problems and a deadline? Some truly amazing tech. 300 students will soon unleash their creativity at the 7th annual Tech ...

OpenAI says it has already put GPT-5.5’s coding skills to use internally. The LLM helped optimize the software that manages ...

Puzzles are the crux of data science. So argue authors of “Radical Uncertainty” John Kay and Mervyn King, who categorize all modern problems as resolvable uncertainty or radical uncertainty. According ...

As large language models (LLMs) continue to improve at coding, the benchmarks used to evaluate their performance are steadily becoming less useful. That's because though many LLMs have similar high ...