How much math knowledge do you need for machine learning and deep learning? Some people say not much. Others say a lot. Both are correct, depending on what you want to achieve. There are plenty of ...

Last year, I started writing about my experiences taking courses on machine learning and artificial intelligence. One of the big, unexpected problems I ran into was calculus and linear algebra. I've ...

A new AI startup tells Axios that proofs created by its algorithms have now been published in several peer-reviewed academic journals. Why it matters: AI proponents have for years been saying that the ...

When you’ve been fighting black-hat hackers for decades, you learn a thing or two about them. Obviously, they are bad, and they like to play with code. But most importantly, they’re continually ...

A computer chip modeled after the human brain just solved the kind of math that keeps fighter jets from shaking apart in ...

For a long time, computer scientists struggled to develop artificial intelligence that could solve difficult symbolic math. At best, it could solve high school math problems—and not even well enough ...

Then to optimize over that linear model they’ll show you gradient descent, and again you’ll note, “Well, that’s just calculus!” Support vector machines? Merely convex optimization. Naive Bayes? Just ...

The task ahead is not to give machines a conscience. It is to design systems where failures are predictable, constrained, and ...

The women behind "Moebius Noodles: Adventurous Math for the Playground Crowd" are back with another fun math game they call Function Machines. I introduced Maria Droujkova and Yelena McManaman last ...