AI agents lack independent agency but can still seek multistep, extrapolated goals when prompted. Even if some of those prompts include AI-written text (which may become more of an issue in the ...

The Matplotlib maintainer who watched an AI agent publish a hit piece about him thought he was dealing with a simple performance tweak, not a reputational attack. When the Federal Trade Commission ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Applicant tracking systems scan for exact keyword matches before reviewSpecific tools and frameworks signal real project depth and expertiseClear ...

Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods.

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

Python libraries handle real business tasks like APIs, data analysis, and machine learning at scaleUsing ready-made libraries ...

The viral social network for bots reveals as much about our own current mania for AI as it does about the future of agents.

In this academy, you’ll explore how data scientists analyze real-world data to uncover meaningful insights. Through hands-on projects, you’ll learn the fundamentals of data analysis and machine ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...