An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...

OpenAI’s Codex Security enters research preview, aiming to help teams find, validate, and patch code vulnerabilities with ...

Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

Living human neurons were trained to play Doom, extending the long-running engineering benchmark into biological computing.

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

REC-R1 is a general framework that bridges generative large language models (LLMs) and recommendation systems via reinforcement learning. Check the paper here.

It's time to join the Pythonistas.

print("hello world, I'm learning Python"!) ...

Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...

Abstract: Source code similarity measurement, which involves assessing the degree of difference between code segments, plays a crucial role in various aspects of the software development cycle. These ...