The Most Essential Military Applications For Artificial Intelligence Technology


Quick Start

Artificial Intelligence (AI) has become an integral part of modern combat. In comparison to conventional systems, the military systems that are equipped with AI are able to handle greater volumes of data with greater efficiency. Furthermore, AI improves self-control, self-regulation, as well as self-actuation of combat systems thanks to its inherent computing capabilities and decision-making abilities.

AI is utilized in nearly every application in the military as well as increased research and development funds from research organizations of the military to develop innovative and cutting-edge applications for artificial intelligence is expected to increase the adoption of AI-driven systems within this sector of the military.

In one instance, the United States Department of Defense's (DoD) Defense Advanced Research Projects Agency (DARPA) is investing in an effort to develop a robot submarine system that will be utilized in a variety of applications, from the detect of mines in the ocean to involvement in anti-submarine activities. In addition there is the fact that the US DoD all-in, it has spent $ 7.4 billion for artificial intelligence (AI), Big Data, and cloud during 2017 fiscal year, while China is investing in AI to boost its capabilities in defense and is predicted to become the world's leader in this area by the year 2030.

The market for artificial intelligence for military applications is predicted to grow to USD 18.82 billion before 2025 at an annual rate of 14.75 percent from 2017 to 2025. Here are eight important applications for military that AI will be proving its worth in the near future.

1. Platforms for Warfare

Defense forces from various countries around the globe are integrating AI into weapon systems and other systems on naval, land as well as airborne platforms.

The use of AI in systems that are based upon these systems has allowed the creation of effective combat systems that depend less on input from humans. It also has resulted in an increase in synergy as well as improved efficiency of the warfare systems, and requires less maintenance. AI is expected to allow autonomous and high-speed weapons that can carry out joint attacks.

2. Cybersecurity

The military systems are usually susceptible to cyberattacks which could result in destruction of classified information about military and even damage the military's systems. However, systems with AI can protect themselves and their systems, computers, networks and data from any type of unauthorized access.

Additionally, AI-enabled internet security systems can track the patterns of cyberattacks and create counter-attack tools to combat them.

3. Logistics & Transportation

AI is anticipated to play a significant part in the military's logistics and transportation. The efficient transport of ammunition, goods, equipment and troops is a crucial element of a successful military operation.

Integrating AI in military transportation will reduce transportation costs and decrease human efforts to operate. It also allows military fleets to detect irregularities and rapidly predict the likelihood of component failure. Recently it was reported that the US Army collaborated with IBM to utilize the Watson artificial intelligence system to assist in identifying issues with maintenance on Stryker military vehicles.

4. Target Recognition

AI In Defense is being researched to increase effectiveness of targeting recognition within challenging combat situations. These methods allow forces of defense to get a complete understanding of possible operation areas through the analysis of documents, reports news feeds, documents as well as other forms of non-structured data. Furthermore, AI in target recognition systems enhances the capability the systems can recognize the exact location that their target is located.

The capabilities of AI-enabled target detection systems include probabilistic predictions of enemy behavior, the aggregation of environmental and weather conditions, anticipating and warning of supply line bottlenecks or weaknesses assessment of mission strategies and mitigation suggestions. Machine learning is also employed to track, learn about and identify targets from the information gathered.

For instance the DARPA's Target Recognition and Adaption in Contested environments (TRACE) program employs algorithms that learn to detect and automatically locate objects using Synthetic-Aperture Radar (SAR) images.


5. Battlefield Healthcare

In the war zone, AI can be integrated with Robotic Surgical Systems (RSS) and Robotic Ground Platforms (RGPs) to offer remote surgical assistance as well as evacuation services. The US specifically is actively involved in the development of RSS as well as RGPs and other systems that support combat-related healthcare. In difficult environments the systems with AI are able to analyze the medical records of soldiers and aid in the diagnosis of complex conditions.

For example IBM's Watson research team has teamed up in collaboration with US Veterans Administration to develop an experimental prototype of clinical reasoning known by"the Electronic Medical Record Analyzer (EMRA). The prototype technology was designed to utilize machine learning techniques to process patient's electronic medical records to automatically determine and rank the most significant health issues they face.

6. Combat Simulation & Training

Simulation and education is a multidisciplinary discipline which combines system engineering software engineering as well as computer science to build computerized models to help soldiers become familiar with the different combat systems used in military actions. In the United States, US is investing more heavily in simulation and training applications.

It is true that the US Navy and Army have conducted warfare analysis, which resulted in the creation of numerous sensors simulation programs. In addition, the US Navy has enlisted such firms like Leidos, SAIC, AECOM along with Orbital ATK to support their programs, whereas the US Army's programs are funded by companies like SAIC, CACI, Torch Technologies as well as Millennium Engineering.

7. Alerting to Threats and Situations

Situational awareness and monitoring of threats depend heavily on Intelligence surveillance, Surveillance as well as Reconnaissance (ISR) actions. ISR operations help collect and process information to aid in a variety of military operations.

Unmanned systems utilized to perform ISR missions may be operated remotely or carried out on a specific route. Incorporating these systems with AI aids personnel from defense in monitoring threats, thus improving their awareness of the situation.

Unmanned Aerial Vehicles (UAVs) are also referred to as drones with embedded AI are able to patrol areas bordering and detect potential threats and communicate information about dangers to teams of response. The use of UAVs could therefore enhance protection of bases for military and also improve the safety and effectiveness of soldiers in combat or in remote locations.

8. AI & Data Information Processing

AI is particularly effective to quickly and efficiently process huge amounts of data to get useful data.

AI aids in the culling and aggregation of data from various datasets as well as collect and combine supersets of data from different sources. This advanced analysis allows military personnel to recognize patterns and draw connections.

Summing Up

Improved situational awareness, fusion of sensors, faster decision-making, use of autonomous weapons, and integration of AI into every facet of warfare, will necessitate changes to war fighting doctrines, organizations and structures, training methodology and leadership,” Army chief Manoj Mukund Naravane told the newspaper. “For militaries across the world as well as for us, this remains an ongoing challenge, and a work in progress.”

Conclusion

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