synthetic intelligence (AI) assure efficiency and accuracy

ARLINGTON, Va. – U.S. navy researchers are asking business for tactics to ensure the efficiency and accuracy of synthetic intelligence (AI) in future aerospace and protection functions, and cease counting on what quantities to be ad-hoc guesswork.

Officers of the U.S. Protection Superior Analysis Initiatives Company (DARPA) in Arlington, Va., issued a broad company announcement (HR001124S0029) for the Synthetic Intelligence Quantified (AIQ) challenge.

AIQ seeks to search out methods of assessing and understanding the capabilities of AI to allow mathematical ensures on efficiency. Profitable use of navy AI requires guaranteeing protected and accountable operation of autonomous and semi-autonomous applied sciences.

Nonetheless, strategies for guaranteeing the capabilities and limitations of AI don’t exist in the present day. That is the place the AIQ program is available in. AIQ will develop know-how to evaluate and perceive the capabilities of AI to allow assured efficiency and accuracy, which to this point has not been doable.

Associated: Synthetic intelligence and machine studying for unmanned autos

This system will check the speculation that mathematical strategies, mixed with advances in measurement and modeling will allow assured quantification of AI capabilities.

This system will deal with three interrelated functionality ranges: particular drawback degree; lessons of drawback degree; and pure class degree. The state-of-the-art strategies for evaluation are advert hoc, take care of the only of capabilities, and will not be correctly grounded in a rigorous idea.

AIQ brings collectively two technical areas: offering rigorous foundations for understanding and guaranteeing capabilities; and discovering methods to judge AI fashions.

Associated: Wished: synthetic intelligence (AI) and machine studying to assist people and computer systems work collectively right here

This program to ensure the efficiency of AI has two 18-month phases — one which focuses on particular issues; and the opposite that focuses on compositions of lessons and architectures.

Proposers should submit two-page abstracts no later than 25 June 2024, and full proposals by 13 Aug. 2024 by the DARPA Broad Company Announcement Instrument (BAAT), which is on-line at https://baa.darpa.mil/Public/SecurityAgreement.

E-mail questions or issues to DARPA at [email protected]. Extra info is on-line at https://sam.gov/opp/78b028e5fc8b4953acb74fabf712652d/view.

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