Abstract: Solving mathematical (math) word problems (MWP) automatically is a challenging research problem in natural language processing, machine learning, and education (learning) technology domains, ...

Abstract: Complex math functions, such as exponential and tanh, are widely applied in machine learning inference tasks like recurrent neural networks (RNNs). Even though a few works have provided ...

Let’s cut to the chase: the only reason why people read financial publication articles is to look for an edge in the market. But with the latest developments in artificial intelligence able to ...

We like to think that we're pretty good at math, especially after years of schooling. But every once in a while, a simple third-grade math problem manages to trip us up and make us question our ...

When the digital revolution first hit classrooms in the early 2010s—and more schools began issuing laptops or tablets to students for individual use—online learning seemed to promise a faster, easier ...

Trigonometric identities are powerful tools for simplifying complex equations in math and science. Three core groups—reciprocal, quotient, and Pythagorean—form the foundation. Effective strategies ...

What if the secrets to the universe’s most perplexing mathematical riddles were no longer locked away, but instead cracked open by an artificial mind? In a new development, OpenAI’s o3-mini model has ...

Time to test your brain! Are you a puzzle person? Most of these hard math problems aren’t straightforward arithmetic. They challenge you to look at problems a different way, testing your logic and ...

STARKVILLE, Miss.—Mississippi State Instructor II Kim Walters is using her Math in Your World class to teach students that math is more than problems in a textbook––it’s a practical tool with everyday ...

A mathematician at UNSW Sydney has introduced a groundbreaking new approach to one of algebra’s oldest unsolved problems. A mathematician has developed an algebraic solution to an equation that was ...