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'' 'ARTIFICIAL -INTELLIGENCE-
GRADUATION' ''
FOUR YEARS AGO MORE THAN 700 COMPUTER SCIENTISTS-
Competed in a contest to build artificial intelligence that could pass an eight-grade science test. There was $80,000 on the line.
They all flunked.
Even the most sophisticated system couldn't achieve the passing grade of 60 percent. A.I. couldn't match the language and logic skills that students are expected to have when they enter high school.
But on Wednesday, the Allen Institute for Artificial Intelligence, a prominent lab in Seattle, unveiled a new system that passed the test with room to spare. It correctly answered more than 90 percent of the questions on an eighth-grade science test and more than 80 percent on a 12th-grade exam.
The system, called Aristo, is an indication that just the past several months researchers have made significant progress in developing A.I. that can understand languages and mimic the logic and decision making of humans.
The world's top research labs are rapidly improving a machine's ability to understand and respond to natural language. Machines are getting better at analyzing documents, finding information, answering questions and even generating language of their own.
Aristo was built solely for multiple choice tests. It took standard exams written for students in New York State, though the Allen Institute removed all questions that included pictures and diagrams.
Answering questions like that would have required skills that combine language understanding and logic with so-called computer vision.
Some test questions, like this one from the eighth-grade exam, required little more than information retrieval:
A group of tissues that work together to perform a specific function is called :
.- [1] an organ.
.- [2] an organism.
.- [3] a system
.- [4] a cell.
But others, like this question from the same exam, required logic:
Competed in a contest to build artificial intelligence that could pass an eight-grade science test. There was $80,000 on the line.
They all flunked.
Even the most sophisticated system couldn't achieve the passing grade of 60 percent. A.I. couldn't match the language and logic skills that students are expected to have when they enter high school.
But on Wednesday, the Allen Institute for Artificial Intelligence, a prominent lab in Seattle, unveiled a new system that passed the test with room to spare. It correctly answered more than 90 percent of the questions on an eighth-grade science test and more than 80 percent on a 12th-grade exam.
The system, called Aristo, is an indication that just the past several months researchers have made significant progress in developing A.I. that can understand languages and mimic the logic and decision making of humans.
The world's top research labs are rapidly improving a machine's ability to understand and respond to natural language. Machines are getting better at analyzing documents, finding information, answering questions and even generating language of their own.
Aristo was built solely for multiple choice tests. It took standard exams written for students in New York State, though the Allen Institute removed all questions that included pictures and diagrams.
Answering questions like that would have required skills that combine language understanding and logic with so-called computer vision.
Some test questions, like this one from the eighth-grade exam, required little more than information retrieval:
A group of tissues that work together to perform a specific function is called :
.- [1] an organ.
.- [2] an organism.
.- [3] a system
.- [4] a cell.
But others, like this question from the same exam, required logic:
Which change would most likely cause a decrease in the number of squirrels living in an area?
.- [1] A decrease in the number of predators.
.- [2] A decrease in competition between the squirrels.
.- [3] An increase in available food.
.- [4] An increase in the number of forest fires.
Researchers at the Allen Instituted started work on Aristo - they wanted to build a ''digital Aristotle'' - in 2013, just after the lab was founded by Paul Allen, the Seattle billionaire and Microsoft co-founder
They saw a standardized science test as a more meaningful alternative to a typical A.I. benchmarks, which relied on games like chess and backgammon or tasks created solely for machines.
A science test isn't something that can be mastered just by learning rules. It requires making connections using logic.
An increase in forest fires for example, could kill squirrels or decrease the food supply needed for them to thrive and reproduce.
Enthusiasm for the progress made by Aristo is still tempered among scientists who believe machines are a long way from completely mastering natural language - and even further from duplicating true intelligence.
''We can't compare this technology to real human students and their ability to reason,'' said Jingjing Liu, a Microsoft researcher, who has been working on many of the same technologies as the Allen Institute.
The Honor and Serving of the Latest Global Operational Research on ''Artificial Intelligence'' , continues after three days. The world Students Society thanks author Cade Metz.
With respectful dedication to the Scientists, Students, Professors and Teachers of the world.
See Ya all on Facebook, prepare and register for Great Global Elections on The World Students Society : wssciw.blogspot.com and Twitter - !E-WOW! - the Ecosystem 2011:
''' Speed Bumps '''
.- [1] A decrease in the number of predators.
.- [2] A decrease in competition between the squirrels.
.- [3] An increase in available food.
.- [4] An increase in the number of forest fires.
Researchers at the Allen Instituted started work on Aristo - they wanted to build a ''digital Aristotle'' - in 2013, just after the lab was founded by Paul Allen, the Seattle billionaire and Microsoft co-founder
They saw a standardized science test as a more meaningful alternative to a typical A.I. benchmarks, which relied on games like chess and backgammon or tasks created solely for machines.
A science test isn't something that can be mastered just by learning rules. It requires making connections using logic.
An increase in forest fires for example, could kill squirrels or decrease the food supply needed for them to thrive and reproduce.
Enthusiasm for the progress made by Aristo is still tempered among scientists who believe machines are a long way from completely mastering natural language - and even further from duplicating true intelligence.
''We can't compare this technology to real human students and their ability to reason,'' said Jingjing Liu, a Microsoft researcher, who has been working on many of the same technologies as the Allen Institute.
The Honor and Serving of the Latest Global Operational Research on ''Artificial Intelligence'' , continues after three days. The world Students Society thanks author Cade Metz.
With respectful dedication to the Scientists, Students, Professors and Teachers of the world.
See Ya all on Facebook, prepare and register for Great Global Elections on The World Students Society : wssciw.blogspot.com and Twitter - !E-WOW! - the Ecosystem 2011:
''' Speed Bumps '''
Good Night and God Bless
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