The Department of Transportation (DOT) has been discreet regarding its work on generative artificial intelligence (AI). However, documents acquired by FedScoop reveal that the federally funded research organisation, MITRE, has been developing an AI-based system to aid the Federal Aviation Administration (FAA).
On Feb. 13 at the WEST 2024 conference, Chief of Naval Operations Adm. Lisa Franchetti announced that the U.S. Navy is utilizing additive manufacturing on aircraft carriers and amphibious landing ships. This adoption is part of a wider effort to expedite platform delivery and maintenance in a cost-effective manner.
The emergence of easily accessible tools such as ChatGPT has firmly established generative artificial intelligence (AI) in the public sphere. Given its vast potential applications, generative AI carries significant promise for various domains. The Department of Defense, like many other organizations, is probing this technology’s efficacy across an assortment of applications.
The escalating scale and realism of Chinese wargames has raised concerns in global defense circles. Adm. Sam Paparo asserts that the conventional intelligence “indications and warning” systems are ill-equipped to differentiate between a practice exercise and a potential invasion. He suggests capitalizing on artificial intelligence (AI), leveraging data from surveillance drones for analysis.
The U.S. Patent and Trademark Office (USPTO), under the Department of Commerce, has issued guidelines determining the patentability of creations assisted by artificial intelligence (AI) systems. Kathi Vidal, Undersecretary of Commerce for Intellectual Property and Director of the USPTO, clarified that AI-assisted inventions are not categorically non-patentable, but a substantial human contribution to the invention is necessary for patent protection.
In light of the evolving security threats and increasing needs, the integration of artificial intelligence (AI) solutions within federal facilities has become a necessity, not just an advanced move.
In an interactive webinar, industry experts delve into how integrating data, artificial intelligence/machine learning (AI/ML), and strategic partnerships can facilitate the construction of improved fraud prevention policies and investigations.
Leveraging artificial intelligence (AI) can significantly enrich the use of the Jobs to Be Done (JTBD) framework for engaging with clients. Using AI technologies, companies can gain profound insights into client preferences, thus enabling more effective services and interactions.