About two years after it was created, the Pentagons artificial intelligence center is setting its sights on new projects, including one on joint information warfare.

This initiative seeks to deliver an information advantage to the Department of Defense in two ways. The first is improving the DoDs ability to integrate commercial and government AI solutions. The second is improving the standardization of foundational DoD data needed to field high-performing AI-enabled capabilities to support operations in the information environment, said Lt. Cmdr. Arlo Abrahamson, a spokesman for the Joint Artificial Intelligence Center.

Nand Mulchandani, the JAICs acting director, told reporters in early July that this initiative also includes cyber operations both broad defensive and offensive measures for use by U.S. Cyber Command.

The DoD is discovering that it needs ways to process, analyze and act upon the vast amounts of data it receives.

As we look at the ability to influence and shape in this environment, were going to have to have artificial intelligence and machine-learning tools, specifically for information ops that hit a very broad portfolio, Gen. Richard Clarke, commander of Special Operations Command, said at the Special Operations Forces Industry Conference in May. Were going to have to understand how the adversary is thinking, how the population is thinking, and work in these spaces in time of relevance. If youre not at speed, you wont be relevant.

To make sure the U.S. message and our allies and partner message is being heard and its resonating. What we need is adapting data tech that will actually work in this space and we can use it for our organization.

A program in support of network incident detection, called MADHAT or Multidimensional Anomaly Detection fusing HPC, Analytics, and Tensors is helping the JAIC develop an information warfare capability. The program allows for the exploration of network data as a way of enabling more effective detection of nuanced adversarial threats, Abrahamson said.

MADHAT has already been deployed, he added, and analysts working on the High Performance Computing Modernization Program are being trained on the tool for operational use. This program accelerates technology development and transitions it into defense capabilities through the application of high-performance computing.

Sign up for the C4ISRNET newsletter about future battlefield technologies.

(please select a country) United States United Kingdom Afghanistan Albania Algeria American Samoa Andorra Angola Anguilla Antarctica Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Bouvet Island Brazil British Indian Ocean Territory Brunei Darussalam Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Chad Chile China Christmas Island Cocos (Keeling) Islands Colombia Comoros Congo Congo, The Democratic Republic of The Cook Islands Costa Rica Cote D'ivoire Croatia Cuba Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Falkland Islands (Malvinas) Faroe Islands Fiji Finland France French Guiana French Polynesia French Southern Territories Gabon Gambia Georgia Germany Ghana Gibraltar Greece Greenland Grenada Guadeloupe Guam Guatemala Guinea Guinea-bissau Guyana Haiti Heard Island and Mcdonald Islands Holy See (Vatican City State) Honduras Hong Kong Hungary Iceland India Indonesia Iran, Islamic Republic of Iraq Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Kiribati Korea, Democratic People's Republic of Korea, Republic of Kuwait Kyrgyzstan Lao People's Democratic Republic Latvia Lebanon Lesotho Liberia Libyan Arab Jamahiriya Liechtenstein Lithuania Luxembourg Macao Macedonia, The Former Yugoslav Republic of Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Martinique Mauritania Mauritius Mayotte Mexico Micronesia, Federated States of Moldova, Republic of Monaco Mongolia Montserrat Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands Netherlands Antilles New Caledonia New Zealand Nicaragua Niger Nigeria Niue Norfolk Island Northern Mariana Islands Norway Oman Pakistan Palau Palestinian Territory, Occupied Panama Papua New Guinea Paraguay Peru Philippines Pitcairn Poland Portugal Puerto Rico Qatar Reunion Romania Russian Federation Rwanda Saint Helena Saint Kitts and Nevis Saint Lucia Saint Pierre and Miquelon Saint Vincent and The Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia and Montenegro Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Georgia and The South Sandwich Islands Spain Sri Lanka Sudan Suriname Svalbard and Jan Mayen Swaziland Sweden Switzerland Syrian Arab Republic Taiwan, Province of China Tajikistan Tanzania, United Republic of Thailand Timor-leste Togo Tokelau Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Turks and Caicos Islands Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United States United States Minor Outlying Islands Uruguay Uzbekistan Vanuatu Venezuela Viet Nam Virgin Islands, British Virgin Islands, U.S. Wallis and Futuna Western Sahara Yemen Zambia Zimbabwe

Subscribe

By giving us your email, you are opting in to the C4ISRNET Daily Brief.

Mulchandani also told reporters that other information warfare-related efforts include using natural language processing, which involve processing and analyzing text.

NLP and speech-to-text is actually a fairly mature AI technology that can be deployed in production. And that actually is going to be used in reducing information overload, he said. So being able to scan vast quantities of open-source information and bring the sort of nuggets and important stuff on the NLPs.

Link:

Pentagon AI team sets sights on information warfare - C4ISRNet