Scientists are turning to automated processes and technologies in a bid to cope with ever higher volumes of data. But automation offers so much more to the future of science than just data handling, says Stephen H. Muggleton.
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
Rent or buy this article
Get just this article for as long as you need it
$39.95
Prices may be subject to local taxes which are calculated during checkout
References
Towards 2020 Science (Microsoft, 2006) http://research.microsoft.com/towards2020science
Sternberg, M. J. E. & Muggleton, S. H. QSAR Combinatorial Sci. 22, 527–532 (2003).
Tamaddoni-Nezhad, A., Kakas, A., Muggleton, S. H. & Pazos, F. in Proc. 14th Int. Conf. Inductive Logic Programming 305–322 (Springer, 2004).
Takahashi, K. et al. Bioinformatics 13, 1727–1729 (2003).
Halpern, J. Y. Artif. Intell. 46, 311–350 (1990).
De Raedt, L. & Kersting, K. in Proc. 15th Int. Conf. Algorithmic Learning Theory 19–34 (Springer, 2004).
King, R. D. et al. Nature 427, 247–252 (2004).
Fletcher, P., Haswell, S., Watts, P. & Zhang, X. Reactors for Chemical Synthesis. Dekker Encyclopedia of Nanoscience and Nanotechnology (2001).
Jacko, J. A. & Sears, A. The Human–Computer Interaction Handbook (Lawrence Eribaum Associates, 2003).
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Muggleton, S. Exceeding human limits. Nature 440, 409–410 (2006). https://doi.org/10.1038/440409a
Published:
Issue Date:
DOI: https://doi.org/10.1038/440409a
This article is cited by
-
Selection of relevant features from amino acids enables development of robust classifiers
Amino Acids (2014)
-
Structured machine learning: the next ten years
Machine Learning (2008)
-
Computing: report leaps geographical barriers but stumbles over gender
Nature (2006)