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 ...

Statsmodels helps analyze data using Python, especially for statistics, regression, and forecasting.The best Statsmodels courses in 2026 fo ...

Remote work is no longer a pandemic experiment. It is now a permanent part of how the global job market operates. There are now three times more remote jobs available in 2026 than back in 2020 in the ...

Agent skills shift AI agents toward procedural tasks with skill.md steps; progressive disclosure reduces context window bloat in real use.

Ruby is an incredibly easy language to learn, and there's a lot of evidence why it is simple to break into and start.

Seventeen-year-old Vishnu Kannan’s love for math and problem solving led him to become the founder of a tech startup, which ...

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.

Error logs and GitHub pull requests hint at GPT-5.4 quietly rolling out in Codex, signaling faster iteration cycles and continuous AI model deployment.

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

Researchers at Australian start-up Cortical Labs have taught human neurons grown on a chip to play the classic Doom game. In 2021, they had already used 800,000 neurons to play Pong. Now, with four ...

In a wild experiment, it turns out a few human neurons linked up to some custom silicon can actually play Doom.