Over the next five years, artificial intelligence (AI) will redefine what the U.S. federal government can achieve with technology. AI will help ensure our nation stays competitive, effectively serves its citizens and maintains safety for Americans at home and abroad.
The Department of Energy and the Lawrence Livermore National Laboratory are working to advance high performance computing by lowering adoption risks and conducting related technology development. Under the High Performance Computing Energy Innovation Program, known as HPC4EI, they are pursuing three initiatives involving the manufacturing, materials and mobility applications of high performance computing, and are seeking industry solutions as part of a $5.2 million request for proposal solicitation. The laboratory, known as LLNL, is managing the HPC4EI Program in conjunction with other laboratories.
In every recent discussion I have had with government and defense leaders around IT modernization, the conversation quickly leads to cloud and its role in enabling agile ways of working for government. Many agencies have already developed cloud migration targets and are looking at how they can accelerate cloud adoption.
Trident Juncture 2018, a large-scale NATO military exercise, wrapped up late last year. But in the weeks since, the alliance has been doing something it has never done before by using big data science to help inform lessons learned from the exercise.
Benefits associated with agility, scalability, ease of management and increased security justify the Defense Department’s investments in a transition to cloud services. As each military service rolls out new cloud capabilities, however, they may find that simply building these solutions will not attract organizations to use them. A misalignment of various motivations and an array of complex factors will impose costs that limit leaders’ freedom of movement in deploying any universal cloud solution. Getting the people and processes right matters just as much as the right technology.
Server Farm to Tabled Agreements
The Defense Information Systems Agency, known as DISA, has unveiled a new data solution for military users that will increase the reliability and availability of data and information, it claims. Through milDrive, users can access information, manipulate files and folders, either online or offline.
After working with information or files offline, and when users regain network access, milDrive will automatically synchronize the data, said Carissa Landymore, DISA’s cloud storage program manager. “[As] a personal file storage service, milDrive [will] really ensure warfighters have continuous, reliable access to files without regard to device or location,” Landymore said.
The Joint Multinational Simulation Center recently fielded the Stryker Virtual Collective Trainer (SVCT) to Vilseck, Germany, the system’s first deployment in Europe.
The SVCT, which was fielded to Vilseck in January, was developed at the Combined Arms Center-Training – Innovation facility at Fort Leavenworth, Kansas, to provide the Army’s Stryker community the capability to train a platoon in a multi-vehicle, virtual environment. Army officials describe the trainer as a low-cost, commercial, game-based simulator that provides a realistic training environment while also being relatively easy to configure and administer.
Two technologies that employ robotic process automation (RPA) secured the last two spots for the championship round in the latest AFCEA innovation shark tanks. Held Thursday, February 25, and Wednesday, March 6, the competitions were the penultimate and ultimate in a string of shark tanks over the past few months. The winning technologies will advance to the final competition, which will be held on April 22.
The U.S. Army is well underway with its strategy to build a modern integrated tactical network through the efforts of the Program Executive Office Command, Control and Communications–Tactical and the Army Futures Command’s Network Cross Functional Team. But leaders know that a tactical network on the battlefield edge won’t be effective without a robust enterprise network.
A U.S. military-funded artificial intelligence (AI) contest that wraps up later this year may result in radio devices capable of autonomously and collaboratively sharing radio frequency spectrum for the next generation of mobile devices.
Fifth-generation (5G) cellular services are widely expected to hail a new era of greater speed, reduced latency and the ability to connect many more devices—think smart cities and the Internet of Things—and move vastly more data. The wireless revolution is fueling a voracious global demand for access to the radio frequency spectrum, but managing that increasing demand in a way that avoids interference is a challenge.
The Defense Advanced Research Projects Agency (DARPA) is in the midst of reviewing proposals for the Make-It program, which aims to automate the discovery and synthesis of small molecules, offering a range of potential benefits, including dramatically accelerating the rate at which scientists cure diseases.
Defense Advanced Research Projects Agency (DARPA) officials will include a panel discussion on ethics and legal issues at the Artificial Intelligence (AI) Colloquium being held March 6-7 in Alexandria, Virginia.
“We’re looking at the ethical, legal and social implications of our technologies, particularly as they become powerful and democratized in a way,” reveals John Everett, deputy director of DARPA’s Information Innovation Office.
The changes that artificial intelligence will bring to the technology landscape could pale in comparison to what it wreaks on global society. Humans need not be taken over by intelligent machines, as some doomsday soothsayers predict, to face a brave new world in which they must revolutionize the way they conduct their daily existence. From employment upheaval to environmental maintenance, people may face hard choices as they adapt to the widespread influence of artificial intelligence advances.
Amidst a great deal of hype, hope and even apprehension regarding artificial intelligence (AI), experts at the U.S. Defense Department’s premier research and development organization intend to help smart machines reach their full potential.
The National Science Foundation’s Directorate for Computer and Information Science and Engineering is working to create a big data ecosystem. As part of that effort, the NSF, as it is known, is expanding the National Network of Big Data Regional Innovation Hubs, first created three years ago. The hubs, with one location for each U.S. Census region—the Midwest, Northeast, South and West—grew out of the need to aid the development of big data research and to help solve complex societal problems. The hubs are having a positive impact on the growth of machine learning, increasing the access to data, methods, networks and expertise, experts say.
Some people worry that artificial intelligence will steal their jobs, but machine learning algorithms now generate images of fake fingerprints that match the prints of one in five people on the planet. Other biometric identification systems, such as face and iris recognition, may also be vulnerable. The capability puts the mobile device industry on notice that current biometric authentication systems may not be adequate for securing cell phones and other devices.
Burgeoning computer capabilities often are unreliable, or brittle, at first. Capabilities that work successfully in one instance may fail miserably when applied to another area. At the moment, machine learning is no different, experts say, and the government and private industry are endeavoring to get past the limitations to improve its use.
In his famous poem, “The Road Not Taken,” Robert Frost writes, “Two roads diverged in a yellow wood.” If you have read the poem or analyzed it, as many a high school English teacher has required, you know that Frost suggests taking the road less traveled is the better choice. And while this may be true for adventure seekers and wanderers out there, here in the world of IT I recognize the benefits of not wandering off on my own. The life cycle of network equipment can be five to seven years, or even longer, so on this cusp of 400G it is important to choose optics that offer interoperability for the long term.
Information has long been a tool of learning, an agent of influence and a weapon of conflict dating back to Darius I and the Persian Empire. Just as Gutenberg’s printing press fueled the promotion, expansion and spread of dogma and new ideas during the Renaissance, today’s information technologies and their inherent capabilities have enabled information, disinformation and misinformation to be disseminated more rapidly to a much broader audience than ever before. Enabling technologies such as the Internet and artificial intelligence allow more rapid and effective targeting in terms of message content and selection of recipients.
Commercial cloud offers the federal government access to a dynamic computing environment almost immediately, with services or capabilities they may not have previously had access to during the time of having to purchase all of the hardware, software and infrastructure themselves. However, the roll out to the cloud for the government has not come quickly or easily, experts say.