In recent years, the Pentagon has made a series of moves in ARTIFICIAL intelligence, including investment, technology and talent acquisition. More recently, JAIC, its AI center, has been looking for testing tools and technologies for AI products. This provides a glimpse into the U.S. Department of Defense’s AI ambitions.

Keywords: Pentagon, ARTIFICIAL intelligence, bidding

Recently, the Pentagon is up for bidding again!

Not long after Microsoft signed on to its much-anticipated $10 billion cloud computing project, they quickly unveiled a new artificial intelligence project.

Major technology companies: Funding dad welcome to find my cooperation

The order of $10 billion has just been signed, but the father is not satisfied

In March 2018, the Pentagon announced the Joint Enterprise Defense Infrastructure Project (JEDI) to build a cloud computing platform to support military weapons systems and classified data storage.

The project could be worth up to $10 billion, and it has tech giants like Amazon, Microsoft and Oracle in the pipeline.

Google was initially involved, but the company’s relationship with the Pentagon has been delicate because of a joint staff revolt against The Maven project, which amounted to an early exit from the poker table.

JEDI this big project bidding results, has been the industry continued to pay attention to.

Cloud computing giants Amazon and Microsoft are the main competitors in the bidding

Last October, the Pentagon announced that Microsoft had won the contract, but Amazon strongly disagreed and immediately filed a lawsuit. However, the order was still awarded to Microsoft.

No sooner had the $10 billion deal been sealed than the Pentagon announced new projects. Apparently, $10 billion isn’t enough to fix the Pentagon’s AI plans.

The Pentagon is going to add AI to the battlefield

In June 2018, the Pentagon established the Joint Artificial Intelligence Center (JAIC) to accelerate the use of AI for Intelligence and military applications.

JAIC announced in its Request For Information (RFI) on the government tender platform that it is seeking cutting-edge AI evaluation techniques to ensure the safety and effectiveness of future AI products. The review covers emerging AI technologies such as machine learning, deep learning and neural networks.

JAIC issued an invitation for information on April 13 to solicit comments from suppliers to clarify demand, an informal call for proposals

The Pentagon’s need for AI technology has been growing in recent years.

They see ai as having the potential to improve the pace of operations and thus the edge on the battlefield by providing timely support.

JAIC says it has established five key mission plans where AI can enhance operations across services

The purpose of the purchase is to enhance the warfighter’s ability to perform repetitive, dangerous missions, the website states clearly.

Pentagon: I also want an AI service to evaluate AI

To ensure safe and effective products are produced, JAIC has a Test and Evaluation (T&E) office, according to the invitation.

The T&E office serves the ARTIFICIAL intelligence hub JCF, which is responsible for discovering, developing and testing solutions to ai problems

The JAIC T&E office evaluates all JAIC products, conducts algorithmic, system and operational testing, and provides independent AI performance analysis.

The needs of JAIC T&E team are mainly in the following two aspects:

Test technology and tools

The JAIC T&E team is seeking testing techniques and tools for a variety of AI applications, including machine learning, deep learning and neural networks, with a focus on the following six areas:

1. Use voice to Text dialog interface applications; 2. Products and services that provide voice support for DOD applications and systems; 3. Image analysis, testing visual search and image classifier based on deep learning; Products and services that support natural language processing (NLP); 5. Machine-enhanced humans, including human-machine interfaces and improved methods to measure cognitive and physical load of warriors, including augmented reality (AR) and virtual reality (VR) testing services; 6. Autonomous systems

Testing and evaluation services

The JAIC T&E team is also seeking the services of government, academia and industry organizations to assist in technical testing and evaluation provided by JAIC or other Dod personnel.

Support is required in the following five areas: data set development/management, test tool development, model output analysis, test planning, documentation and reports, and test services.

Laying out AI took years and hundreds of billions of dollars

In the past two years, the Pentagon has taken various measures to show that the US Department of Defense attaches great importance to AI, including setting up several AI management and guidance departments, ensuring priority investment in AI, and issuing a national strategy on AI.

We briefly review the major ai initiatives of the U.S. Department of Defense since the establishment of JAIC:


These are just a few of the pentagon’s ai scenarios, which reveal the urgent need for AI technology in the US Department of Defense.

Adding artificial intelligence to the battlefield has never stopped the debate

DARPA has been supporting AI research for more than 50 years, but in recent years it has focused on advancing it.

But the use of AI for military purposes has been controversial from the start.

The concept of the battle force composed of battlefield people and intelligent agents, soldiers can be directly connected with the uav network

Ethically, for example, should AI be used as a lethal weapon? To that end, the Pentagon has recruited “ethicists” to oversee AI in the U.S. military, establishing AI ethical principles that are responsible, fair, traceable, reliable, and manageable.

Or on the battlefield, when an artificial intelligence system gives an unprecedented command, should soldiers obey and execute it? Fundamentally, there is a lack of faith in machine reasoning, especially in the context of the battlefield, where variables and contingencies can come up at any time, and machine designers have never experienced these situations.

– the –