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Why deep neural nets cannot ever match biological intelligence and what to do about it?

Overview of attention for article published in Machine Intelligence Research, July 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 444)
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
14 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
44 Mendeley
Title
Why deep neural nets cannot ever match biological intelligence and what to do about it?
Published in
Machine Intelligence Research, July 2017
DOI 10.1007/s11633-017-1093-8
Authors

Danko Nikolić

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 18%
Researcher 6 14%
Student > Postgraduate 4 9%
Student > Bachelor 3 7%
Other 3 7%
Other 9 20%
Unknown 11 25%
Readers by discipline Count As %
Computer Science 9 20%
Engineering 8 18%
Neuroscience 3 7%
Physics and Astronomy 3 7%
Business, Management and Accounting 2 5%
Other 5 11%
Unknown 14 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 April 2022.
All research outputs
#2,071,271
of 25,382,440 outputs
Outputs from Machine Intelligence Research
#12
of 444 outputs
Outputs of similar age
#38,904
of 326,085 outputs
Outputs of similar age from Machine Intelligence Research
#1
of 20 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 444 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 326,085 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.