The U.S. Navy is in the nascent stages of a plan to revolutionize readiness through the use of artificial intelligence, machine learning and data analytics. It also may include the establishment of two new offices: a chief readiness office and an analytics office.
Artificial intelligence, machine learning, advanced manufacturing, blockchain, 5G, the Internet of Things, quantum computing, data science, cloud computing and cybersecurity all have one thing in common: information.
Rear Adm. Boris Becker, USN, commander of the Space and Naval Warfare Systems Center, made that point during a panel session at the AFCEA-USNI West 2019 Conference in San Diego. “It’s information in warfare and information as warfare,” he added.
To maintain its strategic position in the world, succeed on future battlefields and protect the homeland, the Department of Defense must increase the adoption of artificial intelligence, according to the department’s newly released Artificial Intelligence Strategy.
Last year the U.S. Defense Department released a cyber strategy and followed that with posture review that identified more than 90 gaps in cybersecurity capabilities, many of which were determined to be critical shortcomings. This year, officials expect to begin implementing the strategy, beginning with several priority areas involving endpoint management, network visibility, user authentication and cyber force development, according to Brig. Gen. Dennis Crall, USMC, deputy principal cyber advisor, Office of the Secretary of Defense.
Machine learning and artificial intelligence (AI) technologies can be used by DOD to gain a competitive advantage, especially in cyberspace operations. While the technology has made it easier for the military to operate and communicate, “It has also a unique set of challenges with dependencies and vulnerabilities for the department, our nation, our economy and our everyday lives,” said Vice Adm. Nancy Norton, USN, director of the Defense Information Systems Agency (DISA) and commander, Joint Force Headquarters–Department of Defense Information Network (JFHQ-DODIN). The admiral presented the keynote luncheon address at the AFCEA Rocky Mountain Cyberspace Symposium on February 5 and spoke to SIGNAL Magazine.
A combination of artificial intelligence, machine learning, cloud computing, fifth-generation communications and agile software development processes may one day allow commanders to direct any asset from anywhere, essentially revolutionizing command and control.
During the recent AFCEA Alamo Chapter Event in San Antonio, several officials agreed that the current command and control (C2) center known as an air operations center (AOC) has grown too cumbersome and vulnerable for Air Force commanders to make the rapid-fire decisions required in the modern era of multi-domain operations.
The U.S. Defense Department lags the hype cycle for artificial intelligence, machine/deep learning and implementations like natural language processing by years. It needs to uncover the root causes contributing to this delay and create winning strategies to overcome institutional obstacles to get ahead of industrial partners and adversaries who are further along the adoption curve.
Possessing technology is neither deterministic nor decisive when waging war. The effective employment and deliberate application of technologies to enhance warfighting capabilities implies advantage over an adversary when suitably coupled with offensive and defensive tactics.
The United States faces a “toxic mix of threats,” Dan Coats, the director of National Intelligence, testified today before the Senate Select Committee on Intelligence while unveiling the annual Worldwide Threat Assessment of the U.S. Intelligence Community.
The Intelligence Advanced Research Projects Activity (IARPA) is seeking information on research efforts in the area of machine learning with a particular focus on deep learning and in the area of cooling systems for small mobile devices.
Artificial intelligence can analyze vast amounts of information, identifying patterns and anomalies at a speed and scale beyond human capacity. To make it an invaluable part of defense, the goal will be to create cybersecurity systems that can anticipate national security threats. Once systems can automatically reconfigure themselves and their security controls to prevent any potential breaches, the next step will be to move to machines with the power to make their own decisions.
Dayton, Ohio-based Tangram Flex, Inc. has secured $4.5 million in venture capital funding from Hale Capital Partners. Tangram Flex provides artificial intelligence-based software development tools to that ensure cyber assurance and resilience for critical systems. “The software provides operational assurance and cyber-resilience for mission-critical embedded systems used in aircraft, missiles, and many other U.S. defense systems,” a company official stated. Tangram is a spin-off company of Portland-based Galois, Inc.
Artificial intelligence and machine learning are two of the many technologies that will change the way the military operates, according to a panel of experts. However, despite the revolutionary innovations that lie ahead, humans always will need to be the controlling factor in any operation.
These experts offered their views of the future on the second day of AFCEA’s TechNet Asia-Pacific 2018, held November 14-16 in Honolulu. In a panel sponsored by the Young AFCEANs, the five experts presented a younger generation’s perspective on the advantages and pitfalls of a data-centric battlespace.
Artificial intelligence can be surprisingly fragile. This is especially true in cybersecurity, where AI is touted as the solution to our chronic staffing shortage.
It seems logical. Cybersecurity is awash in data, as our sensors pump facts into our data lakes at staggering rates, while wily adversaries have learned how to hide in plain sight. We have to filter the signal from all that noise. Security has the trifecta of too few people, too much data and a need to find things in that vast data lake. This sounds ideal for AI.
The director of the Defense Advanced Research Projects Agency, Steven Walker, pictures the future battlefield as a mosaic of lower-cost, less complex systems linked together in a vast number of ways to create desired, interwoven effects tailored to any scenario. The agency, known as DARPA, is standing up a new program office and investing in an array of technologies, from artificial intelligence to robotics to systems for hypersonic flight and space, to make that picture a reality.
By some measures, Dana Deasy, U.S. Defense Department chief information officer, has made a lot of progress in a little amount of time. He has developed an overarching digital modernization strategy, created a cyber working group, reviewed the department’s plans for implementing an enterprise-scale cloud computing architecture, and is leading an effort to establish a Joint Artificial Intelligence Center.
Technologies are spawning a revolutionary improvement in command and control that will have a transformative impact on how it is conducted at the operational level. These advancements, particularly artificial intelligence, are changing command and control functions such as sensing, processing, “sensemaking” and decision-making. Even greater changes lie ahead as innovation serves a larger role in defining both form and function.
The Defense Advanced Research Projects Agency, the research arm of the U.S. Defense Department, will invest $2 billion in a multiyear campaign called “AI Next” to accelerate the next wave of artificial intelligence technologies. The agency, known as DARPA, plans to explore new theories and applications that could allow machines to adapt to changing situations.
The U.S. Army may establish an artificial intelligence task force over the next 90 days in an effort to help develop needed expertise and better prepare for the service for the future of warfare, says Lt. Gen. Bruce Crawford, USA, Army chief information officer. The service also is creating a cloud computing advisory board.
The U.S. Defense Department’s Joint Artificial Intelligence Center (JAIC) will see major progress next year, says Dana Deasy, the department’s new chief information officer. The joint center will accelerate the delivery of AI-enabled capabilities and develop tools and technologies that will offer benefits across the military.
Robotic process automation, or RPA, is a new type of business process technology leveraging artificial intelligence. Its uses span the realms of doctrine, organization, training, materiel, leadership and education, personnel, facilities and policy.
If you are not familiar with RPA, then think of the way that Microsoft Excel allows users to record steps when creating a macro. The concept is the same with RPA. Results include efficiencies in both public and private-sector organizations. The possibilities for RPA application are all around us.