After Duke Anderson is released from prison after ten years for taking the rap for a scion of a Mafia family, he cashes in a debt of honor with the mob to bankroll a caper. A thief (Duke Anderson) just released from ten years in jail, takes up with his old girlfriend (Ingrid) in her posh apartment. He makes plans to rob the entire building. What he doesn't know is that his every move is recorded on audio and video tape, although he is not the subject of any surveillance.
WEST SACRAMENTO CA (IFS) -- What if, an investigation was going on in the Trump Tower, but on another person or group of people all together different, and the Trump people just by happenstances -- crossed into the line of fire or line of investigation -- by coincidence, and their presence and information crossed pollinated.
Major General Michael Flynn registered today as a foreign agent with the Depart of Justice. Even though he was dismissed as the NSC's number one man by President Trump for lying to Vice President Pence. That's a very weak excuse, but a good one -- a little to late. - KHS
In the television show Person of Interest the Machine uses government surveillance data to predict individuals who will be involved in a crime, whether as a perpetrator or a victim. How close are we to a real-life version of the Machine? Current statistical modeling systems suggest we're not far off.
The US Navy has its own modeling system, called RiftLand. RiftLand, which is being developed by computer science professor Claudio Cioffi-Revilla at George Mason University, focuses on East Africa around the Great Rift Valley. Using data from charitable organizations, academic groups, and governments, RiftLand seeks to bring clarity to the complexities of the region, where many of the countries are dealing with civil conflict. In a place where central governments are not the driving force, RiftLand has to make its predictions based on very specific details about much smaller groups — which groups provide certain types of services, which groups value those services, which groups are likely to experience hostilities toward one another, and which groups are likely to owe other groups favors.
Meanwhile, systems like MIT's Condor, Aptima's Epidemiological Modelling of the Evolution of MEssages (E-MEME), and Lockheed Martin's Worldwide Integrated Crisis Early Warning System (W-ICEWS) analyze blogs, tweets, Facebook, news media, and other websites to measure the social barometer. And yes, politicians and governments are using these sentiment analyses to predict the likelihood of protests and demonstrations.
As impressive (and perhaps frightening) as these systems are becoming, they still rely on a strong human element. People must understand how other people operate — their values and interests — and how their behavior can be influenced. So the Machine could someday be real — provided a human is constantly teaching it what all that surveillance data really means.
By Nadja Popovich and Jan Diehm