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.
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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).
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Muggleton, S. Exceeding human limits. Nature 440, 409–410 (2006). https://doi.org/10.1038/440409a
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DOI: https://doi.org/10.1038/440409a
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