A spate of high-profile thefts at automated teller machines (ATM) has sparked alarm and sent law enforcement officials in a tizzy. But a British cybersecurity firm reckons swindlers can be stopped in their tracks with the help of machine learning and a bit of math. ATMs have long been a target for criminals, although the style of attacks has evolved...