The Air Force wants to take the idea of a virtual assistant to the next level, with a system that not only draws from existing information to answer questions, but puts some additional thought into helping airmen make better decisions. This is accomplished by quizzing them about what, precisely, they plan to do.
The General Services Administration’s (GSA) Emerging Citizen Technology Office (ECTO) is working with a network of partners from more than 300 Federal, state, and local government entities to help evaluate, test, and implement IT modernization initiatives with emerging technologies.
Last year brought a great deal of change to Washington, D.C., from a new administration moving into the White House to D.C. United building a new stadium. As 2018 starts up with seemingly limitless IT opportunities ahead, MeriTalk takes a look back on the top Federal IT stories from 2017.
The Intelligence Community wants to develop a kind of universal translator that will search documents across a full range of media and make sense of them for English-speaking analysts.
With the Internet for transportation, a lie can get all the way around the world before truth can blink itself awake. And that’s a challenge for those who seek to stem the proliferation of false information, be it accidentally misattributed quotes, political propaganda, or malicious “fake news.” Artificial intelligence can help combat the problem, by using machine learning algorithms to detect the patterns used in phony stories and ads designed to stir up fear or outrage, or, in the case of Russian disinformation, unsettle people’s faith in American institutions.
When it comes to Artificial Intelligence (AI) regulations, should the government focus on protecting the rights of its citizens or position the United States as a global leader on the technology? This was the central question during the Senate Subcommittee on Communications, Technology, Innovation, and the Internet’s Dec. 12 hearing.
The Intelligence Advanced Research Projects Activity (IARPA) is upping the ante in automated analysis of satellite images, offering $100,000 in prizes in a competition designed to spawn breakthroughs in imagery analysis.
In light of recent advances in performance–not to mention the history of computing–it’s reasonable to assume that artificial intelligence and machine learning systems will become smarter and faster. But government-funded research that is being put into practice at the Air Force Research Laboratory (AFRL) could achieve new levels of performance while also consuming minimal amounts of power.
Department of Defense (DoD) officials have been framing Artificial Intelligence (AI) as the center of a “new space race,” citing its growing importance in military and geopolitical operations, the investments other countries such as China have been making in AI, and Russian President Vladimir Putin’s assertion that whoever takes the lead in this field will be “ruler of the world.”
The Defense Department (DoD) is leading the brain-computer interface charge within government, recently investing $65 million across six projects. Each of these projects will work to develop high-resolution neural interfaces and working systems that could help in sensory restoration, specifically in these projects with regard to sight and speech. The contractors–five research organizations and one private company–will work under the Defense Advanced Research Project Agency’s (DARPA) Neural Engineering System Design (NESD) program, which was launched in 2016 with the goal of developing an implantable neural interface able to deliver high-bandwidth data transfers between the brain and electronics systems.
Artificial intelligence (AI) systems are getting awfully good at the Who, What, When, Where and even How for a variety of jobs, from military operations to financial transactions to medical diagnosis and treatment. But the Why is another story.
Pandemic threats such as Ebola, Zika, and avian flu are not only a danger to public health, but are also viewed as potential national security threats, as the National Intelligence Council, an arm of the Director of National Intelligence, points out in its 2017 report, Global Trends: Paradox of Progress.
For military analysts struggling to make proper use of millions of hours of full-motion video from drones, the cavalry will begin arriving this month, in the form of computer vision algorithms developed under the Department of Defense’s (DoD) Project Maven.