A mushroom cloud explosion in the New Mexico desert on July 16, 1945 forever changed the nature of warfare. Science had given birth to weapons so powerful they could end humanity. To survive, the United States had to develop new strategies and policies that responsibly limited nuclear weapon proliferation and use. Warfare is again changing as modern militaries integrate autonomous and semiautonomous weapon systems into their arsenals. The United States must act swiftly to maximize the potential of these new technologies or risk losing its dominance.
“There’s a war out there, old friend. A world war. And it’s not about who’s got the most bullets. It’s about who controls the information. What we see and hear, how we work, what we think … it’s all about the information.” These lines are from the 1992 movie Sneakers, a film exploring the possibility of a decryption machine that could break any code, obliterating the ability to protect secrets. Nearly three decades later, the fictitious decoder still doesn’t exist, but the importance of data has grown exponentially.
The U.S. Navy still has its work cut out for it regarding the use of artificial intelligence (AI), machine learning or robotic systems. Data and the ability to obtain data remains an impediment to the increased use of AI, as does the ability to verify that adversaries have not tampered with AI-related code, said experts speaking on a panel at AFCEA and the U.S. Naval Institute’s WEST 2020 conference in San Diego on March 3. Capt. George Galdorisi, USN (Ret.), director, Strategic Assessments and Technical Futures, Naval Information Warfare Center (NIWC), Pacific, moderated the panel.
By 2030, artificial intelligence (AI) is projected to add $13 trillion to the global economic output. In government, AI applications promise to strengthen the federal workforce, safeguard our nation against bad actors, serve citizens more effectively and provide our warfighters the advantage on the battlefield. But this success will require collaboration and advancements from government and industry.
Before the end of the fiscal year, the U.S. Navy intends to deliver an early version of the Information Warfare Platform to two ships, the USS Lincoln and USS Bataan before fielding more comprehensive systems to the Theodore Roosevelt Strike Group. The new capability will be enabled in part by artificial intelligence, machine learning and so-called digital twins. It is expected to offer the ability to acquire, test, install and field technologies at a faster, more affordable rate while also enhancing cybersecurity.
The U.S. Department of Defense officially adopted a series of ethical principles for the use of artificial intelligence (AI). Recommendations were provided to Secretary of Defense Mark T. Esper by the Defense Innovation Board last October.
These principles will apply to both combat and non-combat functions and assist the U.S. military in upholding legal, ethical and policy commitments in the field of AI, according to the Pentagon.
ECS Federal LLC, Fairfax, Virginia, was awarded an $85,422,289 cost-plus-fixed-fee contract for research and development of artificial intelligence algorithms. Bids were solicited via the internet with one received. Work will be performed in Fairfax, Virginia, with an estimated completion date of January 26, 2023. Fiscal 2020 research, development, test and evaluation funds, Army in the amount of $85,422,289 were obligated at the time of the award. U.S. Army Contracting Command, Aberdeen Proving Ground, Maryland, is the contracting activity (W911QX-20-C-0019).
Cloud computing can quicken U.S. Department of Defense (DOD) efforts toward information dominance, but agencies must be measured and deliberate in the march toward the cloud.
Applying artificial intelligence/machine learning (AI/ML) cybersecurity is a “hard problem,” but one with significant and promising progress, according to intelligence experts. Achieving this will require a combination of top-down and bottom-up efforts that leverage both government and industry cooperation, as each can benefit from unique capabilities and contributions of the other.
A company founded by military veterans uses artificial intelligence to alert clients to major events, such as natural disasters, strikes or political unrest, around the world that will affect their organizations and operations. The company, Stabilitas Intelligence Communications, has traditionally worked with large, commercial businesses, including “one of the world’s largest retailers” and “several global logistics and consumer product companies,” Stabilitas officials say. But the company is now actively seeking government customers in the national security and defense arena.
Between now and Valentine’s Day, the U.S. Defense Department will begin to build out its unclassified department-wide cloud platform, the Joint Enterprise Defense Infrastructure cloud, known as JEDI. And approximately six months after that, DOD will stand up its secret cloud environment, followed later by the top secret cloud, all part of JEDI, reported Dana Deasy, Defense Department chief information officer, at the AFCEA Nova Chapter’s Air Force IT Day in Arlington, Va., last Thursday.
Students and faculty at the Naval War College should begin “diving in” to artificial intelligence (AI), said the director of the Defense Department’s Joint Artificial Intelligence Center. Lt. Gen. Jack Shanahan, USAF, declared, “We need far more national security professionals who understand what this technology can do or, equally important, what it cannot do,” according to Navy officials.
The Army is two years into its aggressive front to modernize and shift to be a more agile, lethal force, moving away from counterinsurgency warfare. One of the service’s major priorities as part of that modernization effort is to create an integrated tactical network that can support soldiers fighting anywhere at anytime against near-peer adversaries in a contested environment, explained Maj. Gen.
The Defense Advanced Research Projects Agency is experimenting with underground robotic capabilities through its three-year contest—the Subterranean Challenge, also called SubT. This competition aims to spur tactical communications, mapping and search-related robotic technologies for use in subterranean environments.
Operating across the great distances of the Indo-Pacific region requires robust communication solutions. To meet the technological demands of airmen in the region, the U.S. Air Force, and in particular the Pacific Air Forces, are considering resilient network architecture, advanced software, battlespace command and control center solutions, new high frequency capabilities, low-earth-orbit platforms and decision-making tools, among other innovative solutions.
When Google announced it was acquiring Nest for a little over $3 billion in 2014, analysts thought the company wanted to enter the home appliances market.
It was all about the data.
Google gained access to a treasure trove of information about consumer demands for heating and cooling. The company learned when people turned on their furnaces and shut off their air conditioners. Google could pair this information with the type of household, neighborhood and city.
Researchers from Warwick Business School, University of Plymouth, Donders Centre for Cognition at Radboud University in the Netherlands, and the Bristol Robotics Lab at the University of the West of England, found humans could recognize excitement, sadness and aggression from the way people moved, even if they could not see their facial expressions or hear their voice.
Secretary of the Army Ryan D. McCarthy has approved a new policy on advanced manufacturing designed to help the Army secure a competitive edge against near-peer adversaries.
As part of Sandia National Laboratories' quest to develop hypersonic solutions, a group of university students working at the labs this summer developed autonomy and artificial intelligence capabilities for hypersonic flight systems. They tested the capabilities on unmanned aerial vehicles, or UAVs.