In 1985 the US pulled the plug on a computer-controlled anti-aircraft tank after a series of debacles in which its electronic brain locked guns onto a stand packed with top generals reviewing the device. Mercifully it didn't fire, but did subsequently attack a portable toilet instead of a target drone. The M247 Sergeant York (pictured above) may have been an embarrassing failure, but digital technology and artificial intelligence (AI) have changed the game since then. Today defence contractors around the world are competing to introduce small unmanned tracked vehicles into military service. Just like an army on the move, there are contrasting views about how far and how fast this technology will advance.
In July 1950, a small group of American soldiers called Task Force Smith were all that stood in the way of an advance of North Korean armor. The soldiers' only anti-armor weapons were bazookas left over from World War II. The soldiers of Task Force Smith quickly found themselves firing round after round of bazooka ammunition into advancing North Korean T-34s only to see them explode harmlessly on the heavily armored tanks. Within seven hours, 40 percent of Task Force Smith were killed or wounded, and the North Korean advance rolled on.1 The shortcomings of the bazooka were no surprise. However, budget cutbacks after World War II scuttled adoption of an improved design.
Army researchers have developed a new approach for training machine learning models that can better withstand dirty and deceptive data. Models trained under this method have greatly surpassed other state-of-the-art models in terms of robustness, scientists said. Machines outperform humans in many data-processing tasks, but sometimes fall victim to obvious mistakes that humans can see a mile away. Scientists at the U.S. Army Combat Capabilities Development Command's Army Research Laboratory designed a new approach that makes it harder for adversaries to trick machine learning models. "We were able to reduce model complexity by about a factor of 10 without affecting other performance metrics under benign conditions," said Army scientist Dr. Ananthram Swami.
A multifunctional special operations team infiltrates into the Ad Dali' Province of western Yemen as part of a coalition effort that supports the UN recognized government of President Mansour Hadi, based in the southern capital of Aden. The team is one of several that have begun to infiltrate the tribal areas within the span of control of the Houthi rebel army that is based in Sana'a. The purpose of these specialized teams is simple: foment rebellion within the Yemeni tribes against their Houthi oppressors and return control of their tribal areas to the legitimate government as directed by the UN. The team leader for the team that has infiltrated into Ad Dali' is Captain Adam MacDonald of the British Army, who is leading part of his team into the ruined home of Sheikh Abdul Jaleel al-Hudaifi, in the war torn village of Najd al-Mukalla, in the al-Harsha district, just outside of the Ad Dali' provincial capital. The previous Saturday, on February 12, 2025, militia fighters operating under the al-Houthi movement blew up the primary home of the tribal leader of the al-Harsha district using dynamite.
The U.S. military is spending more than $4.5 million to develop facial recognition technology that reads the pattern of heat being emitted by faces in order to identify specific people. The technology would work in the dark and across long distances, according to contracts posted on a federal spending database. Facial recognition is already employed by the military, which uses the technology to identify individuals on the battlefield. But existing facial recognition technology typically relies on images generated by standard cameras, such as those found in iPhone or CCTV networks. Now, the military wants to develop a facial recognition system that analyzes infrared images to identify individuals.
As the U.S. Army increasingly uses facial and object recognition to train artificial intelligent systems to identify threats, the need to protect its systems from cyberattacks becomes essential. An Army project conducted by researchers at Duke University and led by electrical and computer engineering faculty members Dr. Helen Li and Dr. Yiran Chen, made significant progress toward mitigating these types of attacks. Two members of the Duke team, Yukun Yang and Ximing Qiao, recently took first prize in the Defense category of the CSAW '19 HackML competition (see Related Links below). "Object recognition is a key component of future intelligent systems, and the Army must safeguard these systems from cyberattacks," said MaryAnne Fields, program manager for intelligent systems at the Army Research Office. "This work will lay the foundations for recognizing and mitigating backdoor attacks in which the data used to train the object recognition system is subtly altered to give incorrect answers. Safeguarding object recognition systems will ensure that future Soldiers will have confidence in the intelligent systems they use."
Fox News Flash top headlines for Jan. 10 are here. Check out what's clicking on Foxnews.com A Mississippi Army veteran who served in both Vietnam and Iraq says his prosthetic legs were repossessed and returned in an unusable state -- because the Department of Veterans Affairs (VA) refused to pay for them. Jerry Holliman, 69, told the Clarion-Ledger newspaper that prosthetics vender Hanger repossessed his artificial limbs two days before Christmas. Although he was encouraged to use Medicare to find replacement prosthetic legs, Holliman said he wanted the VA to pay for them.
In her testimony before the U.S.-China Economic and Security Review Commission Hearing on Trade, Technology, and Military-Civil Fusion earlier this year, proclaimed Mad Scientist Elsa Kania stated that President Xi Jinping, in his report to the 19th Party Congress in October 2017, "urged the PLA to'Accelerate the development of military intelligentization" (军事智能化)….This authoritative exhortation has elevated the concept of'intelligentization' as a guiding principle for the future of Chinese military modernization." What is unique about the PLA's approach to implementing AI in force modernization is that they do not seek to merely integrate AI into existing warfighting functions; rather, they are using it to shape a new, cognitive domain and thus revolutionize their entire approach to warfighting -- Read on!] In today's world of rapidly developing concepts and technologies, many theories are emerging about what warfare will resemble in the future. Nowhere does this seem truer than in ...
With technology evolving at a fast pace, we have come a long way from the basic computers to presently using artificial intelligence in modern human warfare. In the current scenario of the world, it wouldn't be wrong to say that the country with the best technology intelligence and machines will be the strongest during the war. The era hasn't yet reached up till the dystopian future involving robocops, hammer drones or the Terminator. Instead, AI is being used to acquire better insights and make better decisions. Although we definitely cannot disregard the fact that artificial intelligence can be more dangerous than nuclear warheads, as once stated by Elon Musk.
"The Defense Department is in the business of data destruction," said Ferrari, who retired as a major general in 2019 after 32 years in the Army. He contrasted the baseline data available for free to any Gmail user, 15 gigabytes, with the 4 gigabytes granted to the most senior general officers and civilians in the Pentagon. "We are also in the business of being enormously afraid of aggregating data. If you put that data set together, yeah they're both unclassified, maybe they'll be classified. Whatever you do, don't bring the data together, keep it siloed."