Examples of using Human-level in English and their translations into Chinese
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It has the potential to reach human-level performance.
When that number reaches human-level- 10 quadrillion cps- then that will mean AGI could become a very real part of life.
When asked“when will we see human-level AI?”?
Human-level intelligence, coupled with the speed and scalability of computers, will make problems that currently appear insoluble disappear.
Microsoft's speech recognition system reaches human-level accuracy.
This is mixed with miscellaneous tasks like human-level classification of skin cancer images in 2017 and in Chinese to English translation in 2018.
The Verge-Google's AI translation system is approaching human-level accuracy.
The graph-network approachhas already demonstrated rapid learning and human-level mastery of a variety of applications, including complex video games(10).
Although these systems are far from perfect,their error rate is better than human-level performance.
Do you have any qualms about a future in which computers have human-level(or greater) intelligence?
Deep learning models can achieve accuracy andsometimes exceeding human-level performance.
To our knowledge,this was the first time a single agent surpassed human-level performance on this multi-task domain.
Deep learning models can achieve state of the art accuracy,sometimes exceeding human-level performance.
Fast forward to 2012 andGoogle's Deep Learning system achieved a human-level ability to discover cats.
Deep learning models achieve state-of-the-art accuracy,sometimes exceeding human-level performance.
A history of moments when AI has matched orsurpassed human-level expertise.
Pearl expects that causal reasoning could provide machines with human-level intelligence.
Pearl expects that causal reasoning could provide machines with human-level intelligence.
Pearl expects that causal reasoning could provide machines with human-level intelligence.
Many experts believe that by2050 machines will have reached human-level intelligence.
Deep learning models achieve state-of-the-art accuracy,sometimes exceeding human-level performance.
Deep learning models can achieve state of the art accuracy,sometimes exceeding human-level performance.
Deep learning models can attain state-of-the-art accuracy and, at times,even surpassing human-level performance.
In technical metrics, speech and image recognition are both approaching,if not exceeding, human-level performance.
State-of-the-art accuracy can be attained by deep learning models,and can sometimes exceed the human-level performance.
Deep learning models can achieve state-of-the-art accuracy in object classification,sometimes exceeding human-level performance.