Using massive amounts of data to recognize photos and speech, deep-learning computers are taking a big step towards true artificial intelligence.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 51 print issues and online access
$199.00 per year
only $3.90 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Le, Q. V. et al. Preprint at http://arxiv.org/abs/1112.6209 (2011).
Mohamed, A. et al. 2011 IEEE Int. Conf. Acoustics Speech Signal Process. http://dx.doi.org/10.1109/ICASSP.2011.5947494 (2011).
Coates, A. et al. J. Machine Learn. Res. Workshop Conf. Proc. 28, 1337–1345 (2013).
Krizhevsky, A., Sutskever, I. & Hinton, G. E. In Advances in Neural Information Processing Systems 25; available at http://go.nature.com/ibace6
Girshick, R., Donahue, J., Darrell, T. & Malik, J. Preprint at http://arxiv.org/abs/1311.2524 (2013).
Author information
Authors and Affiliations
Related links
Related links
Related links in Nature Research
Neuroelectronics: Smart connections 2013-Nov-06
Computing: The quantum company 2013-Jun-19
Artificial intelligence finds fossil sites 2011-Nov-08
Quiz-playing computer system could revolutionize research 2011-Feb-15
Man and machine hit stalemate 2003-Feb-11
Related external links
Rights and permissions
About this article
Cite this article
Jones, N. Computer science: The learning machines. Nature 505, 146–148 (2014). https://doi.org/10.1038/505146a
Published:
Issue Date:
DOI: https://doi.org/10.1038/505146a