Repositories like JSTOR, for example, provide access to
thousands of academic journals.
Not exact matches
Meta — which, in the words
of cofounder Sam Molyneux, uses «artificial intelligence to analyze new scientific knowledge as it's published» — partners with
academic journals to access many
thousands of scientific papers and draw insight from them (beyond the keywords, that is) with the help
of a machine learning tool developed by SRI International, which created Apple's spectral personal assistant, Siri.
This is the company, elsevier, with spectacular profit rates, whch gets its material (papers, books) which have mostly been produced at public expense (university salaries, public research grants), do very little actual editorial work (one usually has to supply papers charts etc «print ready»), get
academic reviewers to review the books and papers free
of charge (well, paid for by universities or they do it in free time), depend on
journal editors whose time is paid for by (generally publicly funded) universities, then sells the
journals to the same universities, sometimes for subscription prices in the
thousands of dollars.
Today, the commercial publishing
of academic journals is highly profitable, especially in the professional disciplines, with some science and medicine
journals costing tens
of thousands of dollars for a single subscription.
It was, for example, clearly in Sloan Kettering's interest to give Watson as much information as possible, including millions
of pages
of text from
academic journals and clinical trials, as well as hundreds
of thousands of patient records, including test results, x-rays, etc..
An investigation by The Times Higher has found that American Amazon has arrangements to sell
academic articles via companies that secure the rights to the content
of journals from
thousands of publishers worldwide.