(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 ...

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 ...

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 - ...

Scientists say using math to sort through DNA could help investigators put stubborn cold cases to rest. The approach combines the relatively new field of forensic genetic genealogy—solving crime by ...

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 ...

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 ...

Cathy O’Neil believes there is a dark side to numbers. A mathematician by training, she earned her doctorate at Harvard and went on to become a tenure-track professor at Barnard College. In 2007, ...