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 ...

(Phys.org) -- A team of EPFL scientists has developed an algorithm that can identify the source of an epidemic or information circulating within a network, a method that could also be used to help ...

The Harvard PhD and data scientist talks about her new book and ponders how people’s fear and trust of math is akin to worshipping God “People keep suggesting that democracy is alive and well because ...

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 - ...

If you’re the parent of an elementary school-age child, chances are good (OK, about one in ten, although actual numbers are hard to pin down) that you’ve encountered Everyday Math. Chances are ...

FCPS recently sent home math brochures describing what students in each grade will be learning this year. Unfortunately, these documents give the inaccurate impression that FCPS is committed to ...

O'Neil's book is a primer on the ethical risks of Big Data and an algorithmically dependent world. It describes algorithms behaving badly, and advocates for society to do better You can save this ...

When there is wrongdoing in fields that are both complex and opaque, it often takes a whistle-blower to inform the public. That’s exactly what former quant trader turned social activist Cathy O’Neil ...