Abstract
Scientific discoveries occur with iterations of theory, experiment, and analysis. But the methods that scientists use to go about their work are changing [1].
Experiment types are changing. Increasingly, experiment means computational experiment [2], as computers increase in speed, memory, and parallel processing capability. Laboratory experiments are becoming parallel as combinatorial experiments become more common.
Acquired datasets are changing. Both computer and laboratory experiments can produce large quantities of data where the time to analyze data can exceed the time to generate it. Data from experiments can come in surges where the analysis of each set determines the direction of the next experiments. The data generated by experiments may also be non-intuitive. For example, nanoscience is the study of materials whose properties may change greatly as their size is reduced [3]. Thus analyses may benefit from new ways to examine and interact with data.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Sims, J.S., George, W.L., Satterfield, S.G., Hung, H.K., Hagedorn, J.G., Ketcham, P.M., Griffin, T.J., Hagstrom, S.A., Franiatte, J.C., Bryant, G.W., Jaskolski, W., Martys, N.S., Bouldin, C.E., Simmons, V., Nicolas, O.P., Warren, J.A., am Ende, B.A., Koontz, J.E., Filla, B.J., Pourprix, V.G., Copley, S.R., Bohn, R.B., Peskin, A.P., Parker, Y.M., Devaney, J.E.: Accelerating scientific discovery through computation and visualization II. Journal of Research of the National Institute of Standards and Technology 107, 223–245 (2002)
Westmoreland, P.R., Kollman, P.A., Chaka, A.M., Cummings, P.T., Morokuma, K., Neurock, M., Stechel, E.B., Vashishta, P.: Application of Molecular and Materials Modeling. Technology Research Institute, World Technology Division. Kluwer Academic Publishers, Dordrecht (2002)
Alivisatos, A.P.: Semiconductor clusters, nanocrystals, and quantum dots. Science 271, 933–937 (1996)
Moore, G.E.: Cramming more components onto integrated circuits. Electronics 38 (1965), http://www.intel.com/research/silicon/mooreslaw.htm
Moore, G.E.: No exponential is forever.. but we can delay ‘forever’. Presented at: Int’l Solid State Circuits Conf. (ISSCC) (2003), http://www.intel.com/research/silicon/mooreslaw.htm
Grosh, J., Kaluzniacki, R., Dongarra, J.: Transition of solving important problems (2004) (unpublished)
Salvator, D.: GPU wars heat up again. PC Magazine, 34–35 (2004), http://www.extremetech.com/6800
Salvator, D.: Nvidia readies geforce 6800. Ziff-Davis online magazine: Extreme-Tech.com (2004), http://www.extremetech.com/article2/0,1558,1624009,00.asp
Edwards, W.K.: Core Jini, 2nd edn. Prentice Hall PTR, Englewood Cliffs (2000)
Freeman, E., Hupfer, S., Arnold, K.: JavaSpaces Principles, Patterns, and Practice. Addison-Wesley, Reading (1999)
Gelernter, D.: Linda in context. Comm. of ACM 32, 444–458 (1984)
Gelernter, D.: Generative communication in Linda. ACM Trans. Prog. Lang. and Sys. 7, 80–112 (1985)
Sun Microsystems, Jini Community: Surrogate project (2004), http://surrogate.jini.org
George, W.L., Scott, J.: Screen saver science: Realizing distributed parallel computing with Jini and Javaspaces. In: Conf. on Parallel Architectures and Compilation Techniques (PACT 2002) (2002), http://math.nist.gov/mcsd/savg/papers/SSS_PACT2002.ps.gz
Sherman, W.R., Craig, A.B.: Understanding Virtual Reality. Morgan Kaufmann, San Francisco (2003)
van Dam, A., Forsberg, A.S., Laidlaw, D.H., LaViola Jr., J.J., Simpson, R.M.: Immersive VR for scientific visualization: A progress report. IEEE Computer Graphics and Applications 20, 26–52 (2000)
van Dam, A., Laidlaw, D.H., Simpson, R.M.: Experiments in immersive virtual reality for scientific visualization. Computers and Graphics 26, 535–555 (2002)
Bryson, S.: Virtual reality in scientific visualization. Comm. ACM 39, 62–71 (1996)
Card, S.K., Mackinley, J.D., Shneiderman, B.: Readings in Information Visualization. Morgan Kaufmann, San Francisco (1999)
Kerighan, B.W., Pike, R.: The UNIX Programming Environment. Prentice Hall, Inc., Englewood Cliffs (1984)
Kelso, J., Arsenault, L., Satterfield, S., Kriz, R.: DIVERSE: A framework for building extensible and reconfigurable device independent virtual environments. In: Proc. IEEE Virtual Reality 2002 Conf. (2002), DIVERSE source code available at, http://diverse.sourceforge.net
SGI: OpenGL PerformerTM (2004), http://www.sgi.com/software/performer
SGI: Open InventorTM (2003), http://oss.sgi.com/projects/inventor
IBM: OpenDX (2004), http://www.opendx.org
Kitware Inc.: VTK: The Visualization Toolkit (2004), http://www.vtk.org
Brady, R., Pixton, J., Baxter, G., Moran, P., Potter, C.S., Carragher, B., Belmont, A.: Crumbs: a virtual environment tracking tool for biological imaging. In: Proc. 1995 Biomedical Visualization (BioMedVis 1995), p. 18. IEEE Computer Society, Los Alamitos (1995)
VRCO: CAVElib user manual (2003), http://www.vrco.com/CAVE_USER/index.html
CAVEav: CAVE audio & video library (2004), http://www-fp.mcs.anl.gov/~judson/CAVEav/CAVEav.html
Roussos, M., Johnson, A., Moher, T., Leigh, J., Vasilakis, C., Barnes, C.: Learning and building together in an immersive virtual world. Presence 8, 247–263 (1999)
Leigh, J., Johnson, A.E., DeFanti, T.A., Brown, M.D.: A review of tele-immersive applications in the CAVE research network. In: VR, p. 180 (1999)
Leigh, J., Rajlich, P., Stein, R., Johnson, A.E., DeFanti, T.A.: LIMBO/VTK: A tool for rapid tele-immersive visualization. In: Proc. IEEE Visualizaton 1998 (1998), http://www.evl.uic.edu/cavern/cavernpapers/viz98/leigh_j.pdf
Morgan, T., Kriz, R.D., Howard, S., Das-Neves, F., Kelso, J.: Extending the use of collaborative virtual environments for instruction to K-12 schools. In> >sight 1, 67–82 (2002), http://www.sv.vt.edu/future/cave/pub/kriz_ael/insight.pdf
Kriz, R.D., Farkas, D., Ray, A.A., Kelso, J., Flanery Jr., R.E.: Visual interpretation and analysis of HPC nanostructure models using shared virtual environments. In: Conf. Proc. High Performance Computing: Grand Challenges in Computer Simulations, The Society for Modeling and Simulation International (SCS), San Diego, California, pp. 127–135 (2003), http://www.jwave.vt.edu/~rkriz/Pubs/HPC_2003/hpc2003distribute.pdf
Ray, A.A.: The collaborative toolkit for diverse (2003), http://www.sv.vt.edu/future/cave/software/D_collabtools/D_collabtools.html
Rich, E., Knight, K.: Artificial Intelligence. McGraww-Hill, New York (1991)
Inselberg, A.: The plane with parallel coordinates. The Visual Computer 1 (1985)
Cheng, J., Hatzis, C., Hayashi, H., Krogel, M.A., Morishita, S., Page, D., Sese, J.: KDD Cup 2001 report. SIGKDD Explorations 3 (2002)
Witten, I., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations. Morgan Kauffann, San Francisco (1999)
Cheeseman, P., Kelley, J., Self, M., Taylor, W., Freeman, D.: Autoclass: A Bayesian classification system. In: Proc. 5th Int’l Conf. on Machine Learning (1988)
Hagedorn, J.G., Devaney, J.E.: A genetic programming system with a procedural program representation. In: 2001 Genetic and Evolutionary Computation Conf. Late Breaking Papers (2001), http://math.nist.gov/mcsd/savg/papers/g2001.ps.gz
Devaney, J.: The role of choice in discovery. In: Arikawa, S., Morishita, S. (eds.). LNCS, vol. 167. Springer, Heidelberg (2000)
Blake, C.L., Merz, C.J.: UCI repository of machine learning databases (1998), http://www.ics.uci.edu/~mlearn/MLRepository.html
Aray, Y., Marquez, M., RodrÃguez, J., Coll, S., Simón-Manso, Y., Gonzalez, C., Weitz, D.A.: Electrostatics for exploring the nature of water adsorption on the laponite sheets surface. J. Phys. Chem. B 107, 8946–8952 (2003)
Louis Pasteur: Lecture (1854), http://www.quotationspage.com/quotes/Louis_Pasteur/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Devaney, J.E. et al. (2005). Science at the Speed of Thought. In: Cai, Y. (eds) Ambient Intelligence for Scientific Discovery. Lecture Notes in Computer Science(), vol 3345. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-32263-4_1
Download citation
DOI: https://doi.org/10.1007/978-3-540-32263-4_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24466-0
Online ISBN: 978-3-540-32263-4
eBook Packages: Computer ScienceComputer Science (R0)