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It is widely believed that artificial intelligence began during World War II, when the Allies developed the then-revolutionary decipherment machines used to crack the Nazis’ Enigma code. These primitive computers were built on Alan Turing’s theoretical foundations, instrumental in the Allies’ Bletchley Park code-breaking efforts. Indeed, intelligence and technology have historically benefited military and defense organizations, as the Allies did with Turing and his ground-breaking insights into the theory of computation.
AI has the potential to see in previously unimagined ways beyond the horizon. With exponential growth in data and technical capabilities, advancements in technology and processing power, and government investments in artificial intelligence research and development, the public sector is prepared to implement new tools to shorten the decision-making cycle. Whether in the military, law enforcement, or border security, these defense and security organizations must be prepared on multiple fronts: operationalizing their data, streamlining existing functions, implementing new technology, addressing ethical concerns, and procuring the tools necessary accomplish their goals.
The breadth of AI opportunities available in the defense and security industry is immense. The proliferation of data generated and collected enables a more comprehensive view of operations’ current and future state. By incorporating AI into the data collection and collation process, businesses can sift through mountains of data, tease apart complex interactions, and capitalize on the results via analyses and predictive scenario planning.
Machine-learning algorithms and complex neural networks enable real-time assessments. Not only do AI-powered autonomous vehicles perform life-saving tasks, but they can also help protect human lives via remote operations. Intelligent automation can help alleviate the administrative burden associated with various roles, particularly in back-office operations with lengthy processes. Most importantly, a collaboration between AI and humans enables the elimination of redundant, low-value-added activities that ultimately divert attention away from the core mission, regardless of the type of operation—planning and preparation, field operations, or complex logistics support.
Use Cases of AI in Defense
Training: Training and simulation are diverse fields that utilize system and software engineering principles to develop models that can be used to train soldiers on the numerous combat systems deployed during actual military operations. The US Navy and Army have already begun several sensor simulation programs.
Additionally, augmented and virtual reality techniques can create highly effective, realistic, and dynamic training simulations. During combat training, the reinforcement techniques benefit both virtual agents and human soldiers.
Cybersecurity: Cyberspace is currently viewed as the third front of conflict, alongside land, sea, and air, in defense circles. A corrupted and malevolent network might damage the region’s security severely. Defense organizations utilize machine learning to forecast and protect against illegal breaches. This intrusion detection is often achieved by classifying the network as usual or intrusive. Techniques based on artificial intelligence aid in enhancing the accuracy of such classification.
Arms and Ammunition: The weaponry of the future currently integrates artificial intelligence technologies. For example, advanced missiles can determine and analyze the target range for kill zones without human interaction.
Logistics: Logistics is a vital component of a military operation’s success. Effort, time, and error are minimized by incorporating machine learning and geospatial analysis into the military’s logistical systems.
Surveillance: Combining geospatial analysis and artificial intelligence enables the extraction of valuable intelligence from connected equipment such as radars and automatic identification systems. This information can assist in detecting unlawful or suspicious behavior and notifying the proper authorities. Additionally, AI-enabled robots and IoT-enabled computer vision can help with target recognition and classification.
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