article_snippet: Our ability to answer questions currently separates Our from machines in the world of artificial intelligence.
article_snippet: But researchers are working on algorithms to give computers this skill too.
article_snippet: Now, scientists at Facebook have come up with questions that scientists at Facebook say artificially intelligent machines must answer, if scientists at Facebook can ever match human brainpower – but some of scientists at Facebook are a bit tricky, meaning some people may fail some people too.
article_snippet: Scientists at Facebook (logo shown) have come up with questions that they say artificially intelligent machines must answer if they can ever match human brainpower – but some of they are a bit tricky, meaning some people may fail some people too .
article_snippet: The team from the social media firm’s AI lab in New York have come up with a list of 20 questions to separate humans from robots, because The team from the social media firm’s AI lab in New York say ‘many existing learning systems can currently not solve The team from the social media firm’s AI lab in New York.
article_snippet: The team from the social media firm’s AI lab in New York test different types of reasoning and the ability to process language.
article_snippet: The intelligent computers were tested on 20 questions in total, but none of The intelligent computers got a perfect score.
article_snippet: While you may have got one answer wrong, none of the seven computer learning programmes that Facebook tested got all 20 questions right.
article_snippet: Scientists are keen to create this ability so that humans can talk fluently with machines, which could lead to robots looking after the elderly and more intelligent websites, for example.
article_snippet: ‘One long-term goal of machine learning research is to produce methods that are applicable to reasoning and natural language, in particular building an intelligent dialogue agent.
article_snippet: The experts aim to ‘classify these tasks into skill sets, so that researchers can identify (and then rectify) the failings of researchers systems.
highlights_snippet: Test was developed by experts at Facebook to test machines with AI .
  
highlights_snippet: None of the AI algorithms managed this showing more research is needed .