Breaking News

artificial intelligence (AI) government spending machine learning – Military & Aerospace Electronics

WASHINGTON – A congressionally mandated panel of technology experts has issued its first set of recommendations for the government, including doubling the amount of money spent on artificial intelligence (AI) outside the defense department and elevating a key Pentagon office to report directly to the Secretary of Defense. C4ISRnet reports. Continue reading original articleThe Military & Aerospace Electronics take:

14 April 2020 — Created by the National Defense Authorization Act in 2018, the National Security Commission on Artificial Intelligence is tasked with reviewing “advances in artificial intelligence, related machine learning developments, and associated technologies,” for the express purpose of addressing “the national and economic security needs of the United States, including economic risk, and any other associated issues.”

The commission issued an initial report in November, at the time pledging to slowly roll out its actual policy recommendations over the course of the next year. Today’s report represents the first of those conclusions — 43 of them in fact, tied to legislative language that can easily be inserted by Congress during the fiscal year 2021 budget process.

Bob Work, the former deputy secretary of defense who is the vice-chairman of the commission, said the report, which seeks to double government spending on AI, is tied into a broader effort to move DOD away from a focus on large platforms.

Related: Four U.S. technology companies take on self-aware artificial intelligence (AI) and machine learning

Related: Artificial intelligence (AI) experts at SRI International to investigate self-aware machine learning

Related: Air Force considers gaming-developed artificial intelligence (AI) and machine learning for battle management

John Keller, chief editorMilitary & Aerospace Electronics
Source: https://www.militaryaerospace.com/computers/article/14173929/artificial-intelligence-ai-government-spending-machine-learning