24/7 Space News
ROBO SPACE
ANSRs to Hard AI Questions
The autonomous system provisioned with ANSR technologies must develop a comprehensive situation understanding and make maneuver decisions while maintaining safety.
ANSRs to Hard AI Questions
by Staff Writers
Washington DC (SPX) Sep 26, 2023

How can we build robust, assured, and therefore trustworthy AI-based systems? That question lies at the heart of DARPA's Assured Neuro Symbolic Learning and Reasoning (ANSR) program.

"Informally, trust is an expression of confidence in an autonomous system's ability to perform an underspecified task," said Dr. Alvaro Velasquez, DARPA's ANSR program manager. "Ensuring autonomous systems will operate safely and perform as intended is integral to trust, which is key to the Defense Department's success in adopting autonomy. We believe that integrating data-driven neural learning and traditional symbolic reasoning is the key to achieving this trust."

DARPA selected the following teams to explore diverse, hybrid architectures that integrate data-driven machine learning with symbolic reasoning, a problem-solving method that uses symbols or abstract representations to understand information or follow rules to reach conclusions.

The University of California, Los Angeles, University of Central Florida, SRI International, Monash University, Carnegie Mellon University, Vanderbilt University, University of California, Berkeley, and Rockwell Collins Inc. will develop and model new neuro-symbolic AI algorithms and architectures for different tasks.

SRI International, Vanderbilt University, University of California, Berkeley, and Rockwell Collins Inc. will develop an assurance framework and methods for deriving and integrating correctness evidence and quantifying mission-specific risks.

Systems and Technology Research (STR) LLCwill develop demonstrable use cases and architectures for engineering mission-relevant applications of hybrid AI algorithms where robustness and assurance are critical for mission success.

Johns Hopkins University Applied Physics Laboratory will test and evaluate the technologies created by other performers and demonstrate value to Department of Defense (DOD) missions through those use case demonstrations.

The program will take place throughout three phases, beginning with development in gaming environments and culminating in a demonstration of a fully autonomous intelligence, surveillance, and reconnaissance mission via a live exercise at DOD facilities.

The autonomous system provisioned with ANSR technologies must develop a comprehensive situation understanding and make maneuver decisions while maintaining safety.

Related Links
Assured Neuro Symbolic Learning and Reasoning (ANSR)
All about the robots on Earth and beyond!

Subscribe Free To Our Daily Newsletters
Tweet

RELATED CONTENT
The following news reports may link to other Space Media Network websites.
ROBO SPACE
ChatGPT AI getting chatty with voice prompts
San Francisco (AFP) Sept 25, 2023
The company behind ChatGPT on Monday said it is adding voice and image capabilities to the generative artificial intelligence (AI) platform long limited to written prompts. Capabilities being added to paid versions of the service allow users to have conversations with the AI and even "show" it what they are talking about, according to OpenAI. "Voice and image give you more ways to use ChatGPT in your life," OpenAI said in a post. "Snap a picture of a landmark while travelling and have a live ... read more

ROBO SPACE
ISS National Lab and Privateer announce Data and Information Sharing Partnership

NASA astronaut Frank Rubio returning to Earth after record 371 days in space

Two Russians, American land back on Earth after ISS mission: Moscow

Chinese universities climb up leading global ranking

ROBO SPACE
All engines added to NASA's Artemis II core stage

Historic NASA wind tunnel testing Mars Ascent Vehicle

Blue Origin to remain grounded for now following crash probe

Third Subscale Booster for future Artemis missions fires up at Marshall

ROBO SPACE
Did life exist on Mars? Other planets? With AI's help, we may know soon

Big Fan of Rock Bands: Sols 3960-3961

Curiosity the Cautious Rover: Sols 3957-3959

Curiosity Needs an Altitude Adjustment: Sols 3955-3956

ROBO SPACE
Astronauts honored for contributions to China's space program

China capable of protecting astronauts from effects of space weightlessness

Tianzhou 5 spacecraft burns up on Earth reentry

Crew of Shenzhou XV mission honored for six-month space odyssey

ROBO SPACE
Sierra Space increases total investment to $1.7B with $290M Series B Funding

Arlington Capital Partners to acquire Exostar from Thoma Bravo

Intelsat expands Brazil infrastructure, delivers new services

Eutelsat investors approve OneWeb merger for satellite internet

ROBO SPACE
China builds first antenna for world's largest radio telescope array

Zenno and D-to develop superconducting electromagnets

Hit soccer video game adds mixed-gender teams, sheds FIFA name

Mineral-hungry clean tech sees countries seeking to escape China's shadow

ROBO SPACE
Turning up gravity for space fungi study

Study sheds new light on strange lava worlds

JWST's first spectrum of a TRAPPIST-1 planet

New insights into the atmosphere and star of an exoplanet

ROBO SPACE
Plot thickens in the hunt for a ninth planet

Webb finds carbon source on surface of Jupiter's moon Europa

Hidden ocean the source of CO2 on Jupiter moon

Juice: why's it taking sooo long

Subscribe Free To Our Daily Newsletters




The content herein, unless otherwise known to be public domain, are Copyright 1995-2024 - Space Media Network. All websites are published in Australia and are solely subject to Australian law and governed by Fair Use principals for news reporting and research purposes. AFP, UPI and IANS news wire stories are copyright Agence France-Presse, United Press International and Indo-Asia News Service. ESA news reports are copyright European Space Agency. All NASA sourced material is public domain. Additional copyrights may apply in whole or part to other bona fide parties. All articles labeled "by Staff Writers" include reports supplied to Space Media Network by industry news wires, PR agencies, corporate press officers and the like. Such articles are individually curated and edited by Space Media Network staff on the basis of the report's information value to our industry and professional readership. Advertising does not imply endorsement, agreement or approval of any opinions, statements or information provided by Space Media Network on any Web page published or hosted by Space Media Network. General Data Protection Regulation (GDPR) Statement Our advertisers use various cookies and the like to deliver the best ad banner available at one time. All network advertising suppliers have GDPR policies (Legitimate Interest) that conform with EU regulations for data collection. By using our websites you consent to cookie based advertising. If you do not agree with this then you must stop using the websites from May 25, 2018. Privacy Statement. Additional information can be found here at About Us.