Future wars may depend as much on algorithms as on ammunition

Future wars may depend as much on algorithms as on ammunition, report says.

By Christian Davenport December 3 at 5:14 PM

The Pentagon is increasingly focused on the notion that the might of U.S. forces will be measured as much by the advancement of their algorithms as by the ammunition in their arsenals. And so as it seeks to develop the technologies of the next war amid a technological arms race with China, the Defense Department has steadily increased spending in three key areas: artificial intelligence, big data and cloud computing, according to a recent report.

Investment in those areas increased to $7.4 billion last year, up from $5.6 billion five years ago, according to Govini, a data science and analytics firm, and it appears likely to grow as the armed services look to transform how they train, plan and fight.

“Rapid advances in artificial intelligence — and the vastly improved autonomous systems and operations they will enable — are pointing toward new and more novel warfighting applications involving human-machine collaboration and combat teaming,” Robert Work, the former deputy secretary of defense, wrote in an introduction to the report. “These new applications will be the primary drivers of an emerging military-technical revolution.”

The United States “can either lead the coming revolution, or fall victim to it,” he added.

In an interview, Work, who serves on Govini’s board, said the advancements in technology are transforming war just as the advent of the rifle, telegraph and railroad did generations ago. Much of the current work is being driven by companies with large presences in the Washington area, including Leidos, Northrop Grumman, Lockheed Martin, Raytheon, CACI and SAIC, according to the report.

Service members are using virtual reality to simulate battle conditions in training. The Defense Advanced Research Projects Agency (DARPA) has been investing in better computing power designed to handle vast amounts of data, including quantum computing and what’s known as neuromorphic engineering, helping develop incredibly complex computing systems designed to mimic biological systems.

There are signs that AI and human-machine collaboration are already making their way into American weaponry and its intelligence apparatus. The Pentagon is working toward using drones as the wingmen of fighter jets and ships, which can probe into enemy territory on their own. The Marine Corps has been testing cargo helicopters that can fly autonomously and that would allow Marines, using a tablet, to “easily request supplies even to austere or dangerous environments,” according to the Office of Naval Research.

The stealthy F-35 Joint Strike Fighter, with 8 million lines of code, is called a “flying computer” that is as much a sensor in the skies as it is a fighter jet, officials say. As an example, officials point to how F-35s communicate with one another on their own. If one jet in a sortie detects an enemy fighter on its radar that is out of the range of the other F-35s along with it, that information is automatically relayed to the other jets.

Another example is Project Maven, a computing system being designed to sift through the massive troves of data and video captured by surveillance and then alert human analysts of patterns or when there is abnormal or suspicious activity.

The technology in robotics is fast improving, as well. In 2015, when DARPA sponsored a challenge to test how robots could navigate certain obstacles, many of the semiautonomous machines tumbled and fell, crashing in sometimes comical fashion. But last month, Boston Dynamics released a stunning video that showed a humanoid robot doing a back flip off a raised platform and landing on its feet.

But despite those advancements, the Pentagon and others are worried that the United States is not moving fast enough.

“The bad news is our competitors aren’t standing still,” Work said.

China in particular has been investing heavily in AI, defense analysts say.

“China intends to seize the initiative to become the ‘premier global AI innovation center’ by 2030, potentially surpassing the United States in the process,” according to a recent report by the Center for a New American Security.

That should serve as a call-to-arms “Sputnik moment,” Work said. “I personally believe that a national challenge like this has to be met with a national response,” he said.

For the past several years, the Pentagon has been wooing Silicon Valley firms that have driven much of the innovation, but have traditionally been loath to work within the Pentagon’s plodding and cumbersome bureaucracy.

In September, Deputy Defense Secretary Patrick Shanahan wrote in a memo that he was “directing aggressive steps to establish a culture of experimentation, adaptation and risk-taking to ensure we are employing emerging technologies to meet our warfighters’ needs and to increase speed and agility technology development and procurement.”

He also signed a directive to accelerate the development of cloud computing for the Pentagon, which he said “is critical to maintaining our military’s technological advantage.”


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