Consumer gadget enthusiasts might have fawned over the new Samsung Galaxy S6 Edge and the Huawei Watch at Mobile World Congress, but if you are an internet of things geek, the most interesting device at MWC was probably at the other end of the Fira Gran Via at Sigfox’s booth. The French startup, which is trying to build a global wireless network solely for the internet of things, was showing off a pill-shaped device it designed to let IoT developers test out its network.
Called the Sens’it, the device has no screen or keypad, just an LED light that doubles as its only button. Under the hood, there are three sensors: an accelerometer, a thermometer and a sound meter, all of which turn themselves on at intervals to take a snapshot of their surroundings and then communicate that data over Sigfox’s network.
If you’re looking for a practical application here, there…
Hui Wang has seen the nature of online fraud change a lot in the 11 years she’s been at PayPal. In fact, a continuous evolution of methods is kind of the nature of cybercrime. As the good guys catch onto one approach, the bad guys try to avoid detection by using another.
Today, said Wang, PayPal’s senior director of global risk sciences, “The fraudsters we’re interacting with are… very unique and very innovative. …Our fraud problem is a lot more complex than anyone can think of.”
In deep learning, though, Wang and her team might have found a way to help level the playing field between PayPal and criminals who want exploit the online payment platform.
Deep learning is a somewhat new approach to machine learning and artificial intelligence that has caught fire over the past few years thanks to companies such as [company]Google[/company], [company]Facebook[/company], [company]Microsoft[/company] and Baidu, and a handful of prominent researchers…