An official with data storage technologies provider Pure Storage told MeriTalk that issues holding back Federal government adoption of artificial intelligence (AI) technologies include the high cost of super-computing resources and the continued reliance of government agencies on legacy IT systems that were not created with AI applications in mind.
The White House’s planned advisory committee on artificial intelligence may or may not help keep the country at the forefront of technological innovation, but it is another sign that the government is getting more serious about the importance of AI and the potential threats of falling behind in the “AI arms race.”
How do you spell the future of government IT? AI. While that’s not going to get you too many points on the triple word score in Scrabble, the technology and applications will unscramble massive dividends in cost savings, service enhancements, and breakthroughs.
The White House said on Thursday that it will create a new artificial intelligence (AI) advisory committee–dubbed the Select Committee on Artificial Intelligence–that will advise the White House on AI research and development efforts in government and industry.
Artificial intelligence (AI) could increase global GDP by $15.7 trillion by 2030, according to PricewaterhouseCoopers. The prevalence of AI in modern society is growing at a rapid pace – and the Federal government needs to keep up.
For the first time in more than eight years, the House Appropriations committee shuttered its doors when it discussed budget issues with top Pentagon brass late last month.
Machine learning innovation is kicking into high gear. Investment in this field and data science increased 9.3 percent in 2016 to $2.4 billion, according to Gartner. On top of that, the Federal government is increasing its focus on machine learning, with the MGT Act, Technology Modernization Fund, and the President’s Management Agenda all supporting transformation efforts.
The Pentagon has a lot of dogs in the artificial intelligence fight. Now it seems to be setting up shop to get those puppies groomed and ready for the big show.
The Government Accountability Office–GAO–recently released a report on an artificial intelligence forum it held in Washington, D.C. last summer. It shows that government’s thinking about the ups and downs of thinking machines. Two highlights to make you think.
Scientists at the Army Research Laboratory (ARL) are covering some new ground in artificial intelligence (AI) by connecting a machine with human intelligence via a neural connection. Not to worry: the research team isn’t cooking up an AI system that will run the show inside a person’s head. But it does have promise for both medical as well as deep machine learning systems uses, potentially in military and everyday applications.
The tactics of warfare aren’t what they used to be. In addition to asymmetric battlefield tactics that differ from conventional battles, they also can include cyber, social, economic, and psychological strategies that don’t necessarily involve physical combat or destruction–or even direct human involvement–and can’t be divined by tracking troop movements or fleet deployments. As a result, the signs of impending war aren’t what they used to be either.
Artificial intelligence (AI) deployments in the Federal government are already making government smarter, based on examples shared during the second of a three-part series on AI launched last month by the House Subcommittee on Information Technology. Federal agency leaders from the Defense Advanced Research Projects Agency (DARPA), the General Services Administration (GSA), National Science Foundation (NSF), and Department of Homeland Security (DHS) discussed how AI is being implemented to improve the mission of their agencies and what is required to ensure the technology continues to be viewed as a problem solver.
Like King Louie in the Jungle Book–Artificial Intelligence has to learn like people. Machine learning’s surely a brilliant student, but it’s still a slow learner. Once trained to recognize patterns, analyze huge amount of data, or interpret speech, they can do the job at lightning speed, often better than humans can. But the training part of that equation can be a labor and programming-intensive task, because machines still learn like machines–one thing at a time, often only after repeated instruction.
Not all bots are bad. But in the wrong hands, botnets can be commanded to do some very nefarious things, like Distributed Denial of Service–DDoS–attacks to disrupt and bring down websites. There are also malware-based bots that are increasingly being used to steal data and personal information.
Last month the Congressional Subcommittee on Information Technology began a three-part series of hearings to break through the myths and the hype to gain a real understanding of Artificial Intelligence (AI) and the role it can play in the Federal government.
Pentagon and allied leaders agree that future conflicts will likely take the shape of a “hyperwar” –a fast-paced clash guided via cyberspace and accelerated by artificial intelligence, but with real, even possibly nuclear, consequences. NATO’s most recent risk report, the GLOBSEC NATO Adaptation Initiative, states that the next world war could come as a hyperwar, and says North Korea, China, and Russia are working on the capability. Speakers on a panel at this month’s AFCEA West 2018 conference in San Diego agreed, emphasizing that the United States needs to keep up with technological developments being adopted by other countries, particularly with regard to artificial intelligence (AI).
Artificial intelligence has been applied to everything from cybersecurity and financial management to human resources and self-driving cars, so it seemed only a matter of time before it could take over video surveillance duties. And while AI, machine learning, and neural networks have made some promising strides in this area, it’s not quite the slam dunk that it might seem.
Artificial intelligence is sexy–no doubt about it. From self-driving cars to personal assistant technology that can anticipate your every need, the future of AI looks promising. However, the actual technology can be confusing. And rarely does the reality of AI match up to expectations created by Hollywood portrayals.
Pentagon leaders say they’re serious about getting ahead in the artificial intelligence (AI) game, which increasingly could include the “games” involved in the modeling and simulation programs used for training.
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.