The much-ballyhooed artificial intelligence approach boasts impressive feats but still falls short of human brainpower. Researchers are determined to figure out what’s missing.
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Edited by Dale Purves, Duke University Medical Center, Durham, NC, and approved December 5, 2011 (received for review September 12, 2011)
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History:
- Published January 3, 2012.
Author Information
- Claudia Fritza,1,2,
- Joseph Curtinb,1,
- Jacques Poitevineaua,
- Palmer Morrel-Samuelsc, and
- Fan-Chia Taod
- aLutheries-Acoustique-Musique, Institut Jean Le Rond d'Alembert, Unité Mixte de Recherche 7190, Centre National de la Recherche Scientifique, Université Paris 06, 75015 Paris, France;
- bJoseph Curtin Studios, Ann Arbor, MI 48103;
- cUniversity of Michigan and Employee Motivation and Performance Assessment, Chelsea, MI 48118; and
- dD‘Addario and Company, Farmingdale, NY 11735
Edited by Dale Purves, Duke University Medical Center, Durham, NC, and approved December 5, 2011 (received for review September 12, 2011)
Footnotes
↵1C.F. and J.C. contributed equally to this work.
- ↵2To whom correspondence should be addressed. E-mail: claudia.fritz{at}upmc.fr.
Author contributions: C.F., J.C., P.M.-S., and F.-C.T. designed research; C.F., J.C., and F.-C.T. performed research; C.F., J.C., and J.P. analyzed data; and C.F., J.C., and J.P. wrote the paper.
The authors declare no conflict of interest.
This article is a PNAS Direct Submission.
This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1114999109/-/DCSupplemental.
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