As we all know Artificial intelligence are implementing in every sector but if we talk about our National Security then Government are Implementing new technologies for our Army to protect our country. This gives to make our country more strong and better security as compared to earlier. Artificial Intelligence plays a vital role in the defense.
Artificial
Intelligence becoming a key part of modern warfare.
AI is virtually used
in every military application, and increased funding from military research
agencies for research and development to develop new and advanced artificial
intelligence applications is projected to drive the increased adoption of
AI-driven systems in the military sector. AI is capable of bringing about major
changes in the way civil and military operations are carried out.
According to a
Bloomberg government analysis, the Defense Department plans to allocate $4
billion for artificial intelligence and machine learning R&D activities in
fiscal 2020, a substantial increase above the level of spending in fiscal 2019.
As
per MarketsandMarkets reports shows that the market size of artificial
intelligence in the military is expected to reach USD 18.82 billion by 2025, at
a CAGR of 14.75% between 2017 and 2025.
The
Defense Research and Development Organization (DRDO) has an AI-specific
laboratory known as the Artificial Intelligence and Robotics Center (CAIR). For
over eight months now, CAIR has been working on a project to create a
Multi-Agent Robotics Framework (MARF). MARF will provide India's armed forces
with an array of robots capable of working as a team, similar to what our
soldiers do. Our Indian Army has already developed Wheeled Robot like Passive
Suspension, Snake Robot, Legged Robot, Wall-Climbing Robot, and Robot Sentry.
CAIR has also developed Network Traffic Analysis (NETRA) that can track
internet traffic.It can analyze voice traffic in real-time that passes through
software with keyword attack, bomb, blast, destroy, and other words.
Here
are the major military applications where AI will be proving its importance
over the coming years.
Military Drones for surveillance
Military
units are using drones for:
- Channel remote communication to ground troops and military bases,
in both video and audio.
- Monitor enemy movement and identify unknown areas of a war zone
- Assist with post-war mitigation procedures by looking for missing
or wounded soldiers and offering insights into a terrain recovery
- Assistance with peace-keeping and border monitoring operations
Cybersecurity
With
many military sites digitized, the information stored on those web portals must
be secured. AI comes to rescue by providing cybersecurity solutions as a response
to attacks on data centers and government websites by malware, phishing, and
brute force.
AI
applications in Defense can be extended further to the designing targeted
missiles, sophisticated weapons, and intensive fighter aircraft. These
applications, which require thorough research, hold the potential in the near
future to revolutionize the face of the defense.
Robot soldiers for combat
While
drones help protect aerial areas, robots can be deployed to assist soldiers in
ground operations on the ground. Such high functionalities, autonomous robots,
built with these strategic goals, bring a cutting edge to defense technology.
With advancements in machine learning and robot building, scientists have
succeeded in creating humanoid bipedal robots to conduct a variety of search
and rescue operations, as well as assisting soldiers in combat.
Robot
fleets function like soldier units and use multiple techniques to carry out
collaborative armed activities. They are self-reliant, adaptable, and have
their fault-tolerant systems, all of which contribute to their ability to
easily and competently make and implement decisions.
Threat Monitoring and Situational Awareness
Threat
monitoring & situational awareness heavily depend on Intelligence,
Surveillance, and Reconnaissance operations. ISR operations are used to collect
and process information in order to support a variety of military activities.
While
the military tactics are being continuously improved, the way information is
analyzed in the bases of the army also needs to be improved. Data collected by
drones and robots, while on the field of war, need to be structured and
organized to make the information insightful.
Satellite
imagery, terrain information, and data from multiple sensors can be used by
applying deep learning, statistical analysis, and probabilistic algorithms to
these data to create situational awareness.
Logistics and Transportation
In
military logistics and transportation AI is expected to play a critical role.
An integral component of efficient military operations is the effective
transport of goods, munitions, armaments, and troops. Integrating AI with
military transport will reduce transportation costs and decrease human
operational efforts. This also allows military fleets to spot anomalies easily
and quickly predict component failures. Recently, the U.S. Army has partnered
with IBM to use its Watson artificial intelligence platform to help Stryker
combat vehicles pre-identify maintenance issues.
Warfare Platforms
Defense
forces from various countries around the globe are embedding AI into weapons
and other devices used on ground, maritime, airborne, and space platforms.
Using
AI in these platform-based systems has allowed the development of efficient
warfare systems that are less dependent on human input. This has also resulted
in increased coordination and improved warfare systems efficiency, thus
requiring less maintenance. Therefore, AI is expected to allow autonomous and
high-speed weapons for collaborative attacks.
Target Recognization
AI
technologies are being developed to enhance target recognition accuracy in
complex fighting environments. These techniques allow the defense forces to
gain a detailed understanding of possible areas of operation by analyzing
reports, records, news feeds, and other types of unstructured data. In
addition, AI in target-recognition systems enhances these systems' ability to
identify the position of their targets.
AI-enabled
target recognition systems capabilities include probability-based enemy
activity forecasts, analysis of weather and environmental factors, detection
and flagging of possible supply line bottlenecks or vulnerabilities,
assessments of mission approaches, and suggested mitigation strategies.
AI and data Information Processing
AI
is especially useful for processing large quantities of data in a quick and
effective manner to obtain valuable information. AI can assist in the
compilation and processing of information from various databases, and in the
acquisition and summation of information from different sources. This advanced
analysis helps military personnel then to identify patterns and derive
correlations.
Conclusion
It
is encouraging to note that the Indian government rightly takes Artificial
Intelligence very seriously and has completely recognized that AI improves
military capability and also governments are providing funding to our defense
sectors for developing new technologies for our military. It is not to say
wrong that Artificial Intelligence plays a big role in every sector. These
technologies help us in many ways and make our military more powerful and
efficient. Artificial Intelligence are revolutionizing the whole sectors. With
the help of AI we able to trace our enemies and able to developed new weapons
and many other technologies used in military operations.
So
these are the AI Application which are using in defense. So if you want to start
your career in Artificial Intelligence and wanted to develop new technologies
that are helpful in our military operations and wanted to do a course then join
“Nearlearn”. Nearlearn is the Foremost Artificial Intelligence training institute in Bangalore and also the best Machine Learning Training Institute.
They provide highly skilled trainers having 10+ years of industry experience in
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facilities. After completion, of course, they help you to get placement in
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students.
For
more information contact us:
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The only thing matters are that you should use machine learning as a service to get better results from it.
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