Artificial intelligence (AI) has a growing number of applications in the security and military areas. It facilitates manoeuvres in the field, and can save lives when things go wrong. It also boosts the performance of armies by providing robot allies to combat forces. According to some experts, Lethal Autonomous Weapons Systems (LAWS) are creating a "Third Revolution" in warfare, after gunpowder and nuclear weapons. It is time we start worrying about the day when armies of robots are capable of conducting hostilities with full autonomy, without humans to command them.
The Army offered a $100,000 prize for a solution to an increasingly tough problem for commanders in the field: In a battlefield dense with electromagnetic signals, is there a better way to distinguish friendly transmissions from hostile attacks? There is, according to a team of eight engineers from Aerospace Corporation, based in El Segundo, Calif. They won the prize by correctly detecting and classifying the greatest number of radio frequency signals using a combination of signal processing and artificial intelligence algorithms. The competition, known as the "Blind Signal Classification Challenge," was sponsored by the Army's Rapid Capabilities Office, a small organization that looks for ways to apply commercial technology to solve military problems. When the challenge kicked off in April, the Army gave all 49 competitors a large amount of recordings of various types of radio signals to use as "training data" so they could develop their algorithms.
Artificial intelligence will inevitably be one of those leap-ahead technologies that enable Soldiers to survive on the battlefield and win, said Vice Chief of Staff of the Army Gen. James C. McConville. McConville spoke here at the National Defender Investigator Association-sponsored Army Science & Technology Symposium and Showcase, Aug. 21. Artificial intelligence involves software algorithms that enable a computational device to learn as it processes information and to change courses of action automatically based on parameters set by the machine's designer. AI can process data at extremely high speeds as well. AI programs can also sift through enormous amounts of data, determine which data are important, simplify the data and present options to operators or commanders.
I GET KNOCKED DOWN, BUT I GET UP AGAIN. Robots are an increasingly important weapon in the military's arsenal, but they aren't much use to soldiers if they are rendered useless if they're easily toppled over. To avoid that issue, researchers from the U.S. Army Research Laboratory (ARL) and the Johns Hopkins University Applied Physics Laboratory (APL) developed a software program that can analyze a robot's ability to right itself from any overturned position. The software, which would act as a sort of diagnostic tool for falls, would help the military figure out how to fix a robot so it falls less. They could also use it on a robot they haven't yet purchased to determine if it's sure on its feet.
Battlefield V is being delayed, and won't come out until 20 November. Developer DICE said that the extra time would allow the game to be improved, and for late feedback to be integrated within the game. But rumours have swirled around other problems for the release. The game was running right into the launch date of the new Call of Duty and Red Dead Redemption 2, a fact that had been blamed for reported low sales of the second world war game. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph.
Based on feedback from Soldiers at an Army training course, ARL researcher Dr. Chad Kessens began to develop software to analyze whether any given robot could get itself "back on its feet" from any overturned orientation. "One Soldier told me that he valued his robot so much, he got out of his vehicle to rescue the robot when he couldn't get it turned back over," Kessens said. "That is a story I never want to hear again." Researchers from Navy PMS-408 (Expeditionary Missions) and its technical arm, the Indian Head Explosive Ordnance Disposal Technology Division, agree. They teamed up with JHU/APL and the prime contractor, Northrop Grumman Remotec, to develop the Advanced Explosive Ordnance Disposal Robotic System, or AEODRS, a new family of EOD robotic systems featuring a modular opens systems architecture.
Researchers are developing software that will help military robots be more independent. The new software aims to ensure that a robot can always get itself back up after a fall, no matter what its orientation. The ability for robots to get back on their own feet means soldiers wouldn't have to risk their own lives to come to the aid of autonomous systems. Army researchers are developing new software that aims to ensure that a robot can always get itself back up after a fall, no matter what its orientation. The latest effort from the US Army Research Lab and Johns Hopkins University Applied Physics Lab builds on feedback from soldiers at an Army training course.
By rendering artificial cognition to computers, AI has broadened the scope of application for machines. Machines are, as a result, not only performing tasks, they're making decisions. Applications like data aggregation from nation-wide databases, practice tools for training troops, bioinformatics, and the security options that AI technology offers can be optimized with these intelligent computers. It is due to this competency the technology offers, that scientists have started applying AI in the defense sector to make up for the limitations that humans have. With giant leaps in the domains of AI and robotics, drones, robots, and intensive hacking systems for a country's defense are no longer limited to sci-fi movies.
Machine learning and artificial intelligence have been the talk of the town for the past few years--and the hype isn't slowing down anytime soon. I believe 2019 is going to be the year for businesses who have waited to finally jump on board to witness a goldmine of advancements for their industry. What could we potentially see next year? Let's dig deeper into AI and machine learning predictions for the coming months. When dealing with a technology as advanced as machine learning, there simply isn't an industry that would not benefit.
Errol Morris feels that Thomas Kuhn saved him from a career he was not suited for--by having him thrown out of Princeton. In 1972, Kuhn was a professor of philosophy and the history of science at Princeton, and author of The Structure of Scientific Revolutions, which gave the world the term "paradigm shift." As Morris tells the story in his recent book, The Ashtray, Kuhn was antagonized by Morris' suggestions that Kuhn was a megalomaniac and The Structure of Scientific Revolutions was an assault on truth and progress. To say the least, Morris, then 24, was already the iconoclast who would go on to make some of the most original documentary films of our time. After launching the career he was suited for with The Gates of Heaven in 1978, a droll affair about pet cemeteries, Morris earned international acclaim with The Thin Blue Line, which led to the reversal of a murder conviction of a prisoner who had been on death row. In 2004, Morris won an Academy Award for The Fog of War, a dissection of former Secretary of Defense Robert McNamara, a major architect of the Vietnam War. His 2017 film, Wormwood, a miniseries on Netflix, centers on the mystery surrounding a scientist who in 1975 worked on a biological warfare program for the Army, and suspiciously fell to his death from a hotel room. The Ashtray--Morris explains the title in our interview below--is as arresting and idiosyncratic as Morris' films.