The U.S. Coast Guard has seen an uptick in the number of fake distress calls it has received in recent months and is looking to counter the problem with voice recognition technology, the Verge reported. Tasked with law enforcement and search and rescue missions in both domestic and international waters, fielding prank calls has become costly for the Coast Guard since it has to respond by deploying aircraft and clearing airspace for its mission. In response to the pranks, which have been happening nearly every day in recent months, the Coast Guard is planning to adopt voice recognition software to identify the phony callers. The fake calls come in through the Coast Guard's VHF radio channel, essentially the maritime version of 911. Unlike a typical phone call, the radio communications do not have any identifying information like a phone number -- and tracking the source of the transmission presents a number of challenges.
Hoax callers are a special kind of jerk. At best they can cause their targets emotional distress. At worst they can cause or incite property destruction and even divert scarce resources from real emergencies where they are needed to save lives. Technology can sometimes be applied to catch the criminal. Doing so casts technology specialists in the detective role by letting them trace calls to find their origins.
Robots just helped shed light on a maritime tragedy. The US Coast Guard, National Transportation Safety Board and Woods Hole Oceanographic have used both an autonomous underwater vehicle (AUV) and a fiber-controlled craft to find the voyage data recorder of the El Faro, a cargo ship that sank near the Bahamas during Hurricane Joaquin last October. That's no mean feat when its remains are 15,000 feet deep, and the recorder is roughly the size of a coffee can. The recovery should not only help explain the exact circumstances of the El Faro's final moments, but provide some closure to the families of the 33 crew members that lost their lives.
An, Bo (University of Southern California) | Shieh, Eric (University of Southern California) | Tambe, Milind (University of Southern California) | Yang, Rong (University of Southern California) | Baldwin, Craig (United States Coast Guard) | DiRenzo, Joseph (United States Coast Guard) | Maule, Ben (United States Coast Guard) | Meyer, Garrett (United States Coast Guard)
While three deployed applications of game theory for security have recently been reported, we as a community of agents and AI researchers remain in the early stages of these deployments; there is a continuing need to understand the core principles for innovative security applications of game theory. PROTECT is premised on an attacker-defender Stackelberg game model and offers five key innovations. First, this system is a departure from the assumption of perfect adversary rationality noted in previous work, relying instead on a quantal response (QR) model of the adversary's behavior --- to the best of our knowledge, this is the first real-world deployment of the QR model. Fourth, our experimental results illustrate that PROTECT's QR model more robustly handles real-world uncertainties than a perfect rationality model.