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Artificial Intelligence Arrives For Local News

#artificialintelligence

The early waves of artificial intelligence are already lapping at the shores of local TV news. For now, AI is largely confined to the realm of metadata and closed captioning among larger, international media companies, according to Ethan Dreilinger, solutions engineer for Watson Media and IBM Cloud Video. But the next wave could see more AI functionality -- and affordability -- soon enough. Dreilinger told NAB Show attendees here on Sunday that Watson's primary role at present is retrieving metadata within a media organization's video -- essentially a search and discovery operation. Say, for instance, tags have been misspelled in videos long languishing in a media company's asset management system.


A Metasearch Engine That Learns Which Search Engines to Query

AI Magazine

Search engines are among the most successful applications on the web today. So many search engines have been created that it is difficult for users to know where they are, how to use them, and what topics they best address. Metasearch engines reduce the user burden by dispatching queries to multiple search engines in parallel. Not too surprisingly then, the most successful applications on the web to date are search engines: tools that assist users in finding information on specific topics. The first decision requires reasoning about the available resources and the second about ranking the search engines.


SAVVYSEARCH: A Metasearch Engine That Learns Which Search Engines to Query

AI Magazine

Search engines are among the most successful applications on the web today. So many search engines have been created that it is difficult for users to know where they are, how to use them, and what topics they best address. Metasearch engines reduce the user burden by dispatching queries to multiple search engines in parallel. The SAVVYSEARCH metasearch engine is designed to efficiently query other search engines by carefully selecting those search engines likely to return useful results and responding to fluctuating load demands on the web. SAVVYSEARCH learns to identify which search engines are most appropriate for particular queries, reasons about resource demands, and represents an iterative parallel search strategy as a simple plan.