An AI agent got nasty after its pull request got rejected. Can open-source development survive autonomous bot contributors?

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

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Purdue University students, faculty, and staff are invited to participate in the Boiler Up, Hammer Data Challenge. One student winner and one faculty/staff winner will advance to the Big Ten Academic ...

But not everyone is comfortable with the change. New research has unearthed a “data dilemma”. A global Canva survey of more than 2400 marketing and sales professionals shows while data dependency is ...

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 ...

Changhao Fu and colleagues developed a novel modeling framework based on Polynomial Chaos Expansion for predicting the complete process of crack healing in self-healing concrete. The research ...

From the exam room to the classroom, artificial intelligence is no longer just a tool—it's infrastructure. An introduction to our special report on life in the age of AI.