____  ___    _  _     _   _ _____     _______
 / ___|/ _ \  | || |   | | | |_ _\ \   / / ____|
| |  _| | | | | || |_  | |_| || | \ \ / /|  _|
| |_| | |_| | |__   _| |  _  || |  \ V / | |___
 \____|\___/     |_|   |_| |_|___|  \_/  |_____|

 --- A GOPHER-LIKE INTERFACE FOR HIVE BLOCKCHAIN ---

Machine-Generated Knowledge Bases

BY: @dnic | CREATED: Aug. 15, 2018, 3:54 p.m. | VOTES: 1 | PAYOUT: $0.00 | [ VOTE ]

Interesting article about Machine-Generated Knowledge Bases by John Bohannon https://blog.primer.ai/technology/2018/08/03/Quicksilver.html

As a test of the new system, it was used to find people with notable accomplishments but with no Wikipedia entry. The system read 500 million news articles, 39 million scientific papers, and all of Wikipedia, and then wrote 70,000 biographical summaries of scientists.

Example from the article:
https://blog.primer.ai/assets/Quicksilver_1.png

MachineLearning

TAGS: [ #machinelearning ]

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