Matrix multiplication is at the heart of many machine learning breakthroughs, and it just got faster—twice. Last week, DeepMind announced it discovered a more efficient way to perform matrix ...

Follow this section to personalize your feed and get instant alerts. WHY FOLLOW? Update your preferences in Account Settings Personalized Content Follow this tag to personalize your feed and get ...

In the so-called MINT subjects—mathematics, computer science, natural sciences and technology—up to 40 percent of students drop out of their studies in the introductory phase. A research team from the ...

When people ask me why I, an applied mathematician, study diabetes, I tell them that I am motivated for both scientific and human reasons. Type 2 diabetes runs in my family. My grandfather died of ...

Grade school math students are likely familiar with teachers admonishing them not to just guess the answer to a problem. But a new proof establishes that, in fact, the right kind of guessing is ...

One of the most classic algorithmic problems deals with calculating the shortest path between two points. A more complicated variant of the problem is when the route traverses a changing network - ...

Algorithms are increasingly prevalent in everything we do, from getting insurance to applying to jobs (if the algorithm doesn't pick your application from a big pile, good luck). While it may seem ...

Computers fail at even simple math more often than many of us realize and that flaw is rooted in the architecture of the machines themselves. Using machine learning, Google might have discovered a way ...

Two brothers in Singapore have built a data-encryption company on pure mathematics, betting that a problem no algorithm can ...

When they start college, students face many challenges, but one of the hardest is figuring out how to pay for things. With things like tuition, books, housing, and daily costs to think about, learning ...