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Secretive agency uses AI, human 'forecasters' to predict the future
A U.S. government intelligence agency develops cutting-edge tech to predict future events.
- The Intelligence Advanced Research Projects Activity (IARPA), a research arm of the U.S. government intelligence community, is focused on predicting the future.
- The organization uses teams of human non-experts and AI machine learning to forecast future events.
- IARPA also conducts advanced research in numerous other fields, funding rotating programs.
As far as secretive government projects go, the objectives of IARPA may be the riskiest and most far-reaching. With its mission to foster "high-risk, high-payoff" programs, this research arm of the U.S. intelligence community literally tries to predict the future. Staffed by spies and Ph.D.s, this organization aims to provide decision makers with real, accurate predictions of geopolitical events, using artificial intelligence and human "forecasters."
IARPA, which stands for Intelligence Advanced Research Projects Activity, was founded in 2006 as part of the Office of the Director of National Intelligence. Some of the projects that it has funded focused on advancements in quantum computing, cryogenic computing, face recognition, universal language translators, and other initiatives that would fit well in a Hollywood action movie plot. But perhaps its main goal is to produce "anticipatory intelligence." It's a spy agency, after all.
"Minority report" pre-cog
Dreamworks/20th Century Fox
In the interest of national security, IARPA wants to identify major world events before they happen, looking for terrorists, hackers or any perceived enemies of the United States. Wouldn't you rather stop a crime before it happens?
Of course, that's when we get into tricky political and sci-fi territory. Much of the research done by IARPA is actually out in the open, utilizing the public and experts in advancing technologies. It is available for "open solicitations," forecasting tournaments, and has prize challenges for the public. You can pretty much send your idea in right now. But what happens to the R&D once it leaves the lab is, of course, often for only the NSA and the CIA to know.
The National Security Agency expert James Bamford wrote that the agency is ultimately looking to create a system where huge amounts of data about people's lives would be mined in real-time, for the purpose of preventing actions detrimental to the nation. In his article for the Pittsburgh Post-Gazette, Bamford wrote that IARPA's goal is to create very powerful automated computer systems, managed through artificial intelligence, which would be "capable of cataloging the lives of everyone everywhere, 24/ 7." Such programs would be able to instantaneously access data streams belonging to citizens, whether from social media or anywhere else. As Bamford writes, being able to analyze "every Facebook post, tweet and YouTube video; every tollbooth tag number; every GPS download, web search and news feed; every street camera video; every restaurant reservation on Open Table — largely eliminates surprise from the intelligence equation."
Of course, one would suspect much of this is going on already. IARPA's Mercury program, for example, concentrates on data mining millions of private overseas communications that are gathered by the National Security Agency. While it can certainly be argued that such a program is a national security necessity, working to spot terrorists and elements that can lead to social unrest, the potential for misuse and infringement on privacy rights has alerted observers.
A fascinating recent project funded by IARPA is called SAGE, which stands for Synergistic Anticipation of Geopolitical Events. As you may expect from such a lofty title, the researchers involved in this endeavor are looking to predict the future. This project is aimed at utilizing non-experts – humans who would use AI machine learning to make qualified statements about what would happen.
Led by Aram Galstyan, director of the Artificial Intelligence Division at the USC Viterbi Information Sciences Institute (ISI), the project has been successful in making concrete predictions, like knowing when North Korea would launch its missile tests. SAGE works by utilizing large sets of human non-expert predictors, pooling their powers by working together, making them "more accurate and faster than a single human subject expert," as explains a USC press release. However, the information these humans or "forecasters" use to make predictions is gathered through a variety of machine learning technologies.
The topics looked at by the predictors include such questions as "Will any G7 nation engage in an acknowledged national military attack against Syria [by a given date]?" They may also want to figure out exactly how much oil Venezuela might produce in a specific month.
Leaders among the forecasters, or those who make the most accurate predictions, are ranked and highlighted with badges.
This AI-assisted crowd-sourced Nostradamus has worked out quite well, according to Fred Morstatter, a USC computer scientist. "We believe that's the case because the numbers we're seeing indicate we are outpacing a system that uses only humans," he remarked.
SAGE's hybrid model functions by offering humans information derived by the machines in charts that show trends, along with specific predictions by the AI. "SAGE works because humans have one side of the coin, and machines have the other side," said Morstatter. And on yet another side you would have the National Intelligence apparatus.
Do you have a good idea for future-oriented national security research? You can actually apply to be a IARPA program manager. Current managers, who rotate every 3 to 5 years, are working on a vast variety of fields, including forecasting, linguistics, underwater technology, aerospace propulsion, atomic physics, artificial intelligence, biometrics, neuroscience, and optics. Check out the list of existing programs.
A Mercury-bound spacecraft's noisy flyby of our home planet.
- There is no sound in space, but if there was, this is what it might sound like passing by Earth.
- A spacecraft bound for Mercury recorded data while swinging around our planet, and that data was converted into sound.
- Yes, in space no one can hear you scream, but this is still some chill stuff.
First off, let's be clear what we mean by "hear" here. (Here, here!)
Sound, as we know it, requires air. What our ears capture is actually oscillating waves of fluctuating air pressure. Cilia, fibers in our ears, respond to these fluctuations by firing off corresponding clusters of tones at different pitches to our brains. This is what we perceive as sound.
All of which is to say, sound requires air, and space is notoriously void of that. So, in terms of human-perceivable sound, it's silent out there. Nonetheless, there can be cyclical events in space — such as oscillating values in streams of captured data — that can be mapped to pitches, and thus made audible.
Image source: European Space Agency
The European Space Agency's BepiColombo spacecraft took off from Kourou, French Guyana on October 20, 2019, on its way to Mercury. To reduce its speed for the proper trajectory to Mercury, BepiColombo executed a "gravity-assist flyby," slinging itself around the Earth before leaving home. Over the course of its 34-minute flyby, its two data recorders captured five data sets that Italy's National Institute for Astrophysics (INAF) enhanced and converted into sound waves.
Into and out of Earth's shadow
In April, BepiColombo began its closest approach to Earth, ranging from 256,393 kilometers (159,315 miles) to 129,488 kilometers (80,460 miles) away. The audio above starts as BepiColombo begins to sneak into the Earth's shadow facing away from the sun.
The data was captured by BepiColombo's Italian Spring Accelerometer (ISA) instrument. Says Carmelo Magnafico of the ISA team, "When the spacecraft enters the shadow and the force of the Sun disappears, we can hear a slight vibration. The solar panels, previously flexed by the Sun, then find a new balance. Upon exiting the shadow, we can hear the effect again."
In addition to making for some cool sounds, the phenomenon allowed the ISA team to confirm just how sensitive their instrument is. "This is an extraordinary situation," says Carmelo. "Since we started the cruise, we have only been in direct sunshine, so we did not have the possibility to check effectively whether our instrument is measuring the variations of the force of the sunlight."
When the craft arrives at Mercury, the ISA will be tasked with studying the planets gravity.
The second clip is derived from data captured by BepiColombo's MPO-MAG magnetometer, AKA MERMAG, as the craft traveled through Earth's magnetosphere, the area surrounding the planet that's determined by the its magnetic field.
BepiColombo eventually entered the hellish mangentosheath, the region battered by cosmic plasma from the sun before the craft passed into the relatively peaceful magentopause that marks the transition between the magnetosphere and Earth's own magnetic field.
MERMAG will map Mercury's magnetosphere, as well as the magnetic state of the planet's interior. As a secondary objective, it will assess the interaction of the solar wind, Mercury's magnetic field, and the planet, analyzing the dynamics of the magnetosphere and its interaction with Mercury.
Recording session over, BepiColombo is now slipping through space silently with its arrival at Mercury planned for 2025.
Research suggests that aging affects a brain circuit critical for learning and decision-making.
As people age, they often lose their motivation to learn new things or engage in everyday activities. In a study of mice, MIT neuroscientists have now identified a brain circuit that is critical for maintaining this kind of motivation.
Researchers find a key clue to the evolution of bony fish and tetrapods.
- A new study says solar and lunar tide impacts led to the evolution of bony fish and tetrapods.
- The scientists show that tides created tidal pools, stranding fish and forcing them to get out of the water.
- The researchers ran computer simulations to get their results.
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