(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 ...

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 ...

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 ...

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 ...

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, ...

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 - ...

Last week, it seemed that OpenAI—the secretive firm behind ChatGPT—had been broken open. The company’s board had suddenly fired CEO Sam Altman, hundreds of employees revolted in protest, Altman was ...