Upgrade & Secure Your Future with DevOps, SRE, DevSecOps, MLOps!

We spend hours on Instagram and YouTube and waste money on coffee and fast food, but won’t spend 30 minutes a day learning skills to boost our careers.
Master in DevOps, SRE, DevSecOps & MLOps!

Learn from Guru Rajesh Kumar and double your salary in just one year.

Get Started Now!

Pentagon to spend $874 million on artificial intelligence (AI) and machine learning technologies next year

Source – https://www.militaryaerospace.com/

The Pentagon’s AI efforts now number more than 600, which is up about 50 percent over current-year levels, DOD officials say.

WASHINGTON – U.S. Department of Defense (DOD) leaders plan to invest $874 million next year in artificial intelligence (AI)-related technologies to boost deterrence against potential adversaries like China, as well as to enhance efficiencies in computing, command and control, and logistics.

Pentagon experts are asking Congress for AI funding in several projects, as revealed in the federal fiscal year 2022 DOD budget, which was released last week. Federal fiscal year 2022 begins next 1 Oct. The Pentagon’s AI efforts now number more than 600, which is up about 50 percent over current-year levels, DOD officials say.

In efforts to keep technological pace with China and other adversaries, DOD is leveraging technological advantages and investing in cutting-edge technologies like AI, hypersonic technology, cyber, and quantum computing, among others, according to DOD budget documents.

New technologies like AI, autonomy, and robotics will change the character of warfare, resulting in a faster, more lethal, and more distributed battlefield, experts say.

The Pentagon’s efforts in AI primarily are part of the military’s $2.3 billion science and technology research budget, and revolve around the military Joint Artificial Intelligence Center’s (JAIC) in Washington.

Pentagon science and technology efforts focus on high payoff basic research projects in physical science, life science, and applied mathematics that probe the limits of today’s technologies. Emerging technologies include AI and machine learning; quantum science; neuroscience; novel engineered materials; understanding human and social behavior; engineered biology; and manufacturing sciences.

Much of the AI funding from the separate military services filters through the JAIC, which primarily is part of the U.S. Defense Information Systems Agency (DISA), which is located at Fort Meade, Md. The U.S. Army, for example, allocates money from the service’s 2022 budget request to the JAIC for efforts in small unit maneuver.

U.S. Navy leaders say they plan to capitalize on emergent, game-changing technologies through targeted investments in AI, cyber weapons, unmanned technologies, directed energy, and hypersonics.

U.S. Special Operations Command also is investing in AI to increase the speed of processing, exploitation, and dissemination for intelligence, surveillance, and reconnaissance.

In the Pentagon’s 2022 research and development budget request, the Army is asking for $10.2 million for AI and machine learning basic research; for $15 million for AI and machine learning applied research; and for $909,000 for AI and machine learning advanced technologies.

The 2022 DISA research budget request asks for $10 million for JAIC operational systems development; and for $186.6 million for JAIC software and digital pilot programs.

Related Posts

What is Machine Learning and what are the Types of Machine Learning Tools Available?

What is Machine Learning? Machine Learning is a subfield of Artificial Intelligence that incorporates statistical models and algorithms to help computer systems learn from data and improve Read More

Read More

What is an Autonomous System and what are Applications of Autonomous Systems?

Introduction to Autonomous Systems Autonomous systems, once the stuff of science fiction, have become a reality in our world today. From self-driving cars to drones, robots, and Read More

Read More

What is Predictive Analytics and what is the Types of Predictive Analytics Tools

Introduction to Predictive Analytics Tools As businesses continue to collect vast amounts of data, it becomes increasingly challenging to make informed decisions that drive growth and improve Read More

Read More

What is Neural Network Libraries and What are the popular neural network libraries available today?

1. Introduction to Neural Network Libraries Neural networks are being used more and more in today’s technology landscape, powering everything from image recognition algorithms to natural language Read More

Read More

What is Reinforcement Learning and What are Reinforcement Learning Libraries?

Introduction to Reinforcement Learning Reinforcement learning is a machine learning technique that involves training an agent to make decisions based on trial and error. It is an Read More

Read More

What are Graphical Models? Why use Graphical Models Libraries and Types of Graphical Models Libraries?

Graphical Models Libraries are powerful tools that allow developers and data scientists to build complex models with more accuracy and less complexity. These libraries help in capturing Read More

Read More
Subscribe
Notify of
guest
0 Comments
Oldest
Newest Most Voted
Inline Feedbacks
View all comments
0
Would love your thoughts, please comment.x
()
x