Had they included just one of Tony Hoare’s achievements, many scientific careers would be considered prestigious enough. His had a long list, unfortunately closed by his passing away at the age of 92 ...

This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a safety test, it can still hallucinate dangerous misinformation in other ...

OpenAI Group PBC and Mistral AI SAS today introduced new artificial intelligence models optimized for cost-sensitive use cases. OpenAI is rolling out two algorithms called GPT-5.4 mini and GPT 5.4 ...

A computer science degree used to be seen as a clear path to a well-paying career. Is it still worth it in an age of AI?

The most widely adopted computer language in history, COBOL is now causing a host of problems. It's also dangerously difficult to remove.

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, ...

Functional programming prevents unintended data changes, reducing errors in large systems. Pure functions improve testing accuracy because outputs depend only on inputs. Languages like Haskell and ...

Biologists and chemists have a new programming language to uncover previously unknown environmental pollutants at breakneck speed -- without requiring them to code. Biologists and chemists have a new ...

Newer languages might soak up all the glory, but these die-hard languages have their place. Here are eight languages developers still use daily, and what they’re good for. The computer revolution has ...

Did you know that, between 1976 and 1978, Microsoft developed its own version of the BASIC programming language? It was initially called Altair BASIC before becoming Microsoft BASIC, and it was ...

Zig is a popular systems-oriented language that is serious about replacing C. Here's what you need to know about Zig. The Zig programming language continues its gradual advance into the world of ...

Computer science involves much more than writing code. It blends technical knowledge —like programming, algorithms and data systems — with soft skills, such as communication and problem-solving.