Abstract: Though quite challenging, training a deep neural network for automatically solving Math Word Problems (MWPs) has increasingly attracted attention due to its significance in investigating how ...

In the 2020s, the best players in the NBA have mostly been European. As the likes of LeBron James and Stephen Curry entered the twilight of their careers, Nikola Jokic, Giannis Antetokounmpo, and Luka ...

The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...

David Spade slammed a mall's tree-lighting ceremony for omitting the word "Christmas." In the Sunday episode of Spade and Dana Carvey's "Fly on the Wall" podcast, the 61-year-old "Grown Ups" actor ...

For elementary students, math problem-solving often feels like a puzzle without all the pieces. They know there’s a solution somewhere, but they can’t quite see how it all fits together. Behind every ...

A new method vastly improves on the existing approach for single-cell genetic sequencing, enabling scientists to read the genomes of individual cells and viral particles in the environment more ...

Growth charts for children with rare genetic disorders - giving healthcare professionals and families clearer guidance on how a child is developing - have been created by an international team, led by ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.

Catastrophizing is fixating on the worst possible outcome of a situation, even if unlikely. The author shares personal experiences with catastrophizing, particularly regarding a recent health ...

Do you sense something problematic about the word “problematic”? The way it’s used has changed a great deal in recent years, so much that it can now seem a little shifty. The journey that brought us ...