Current Status and Future Trends of Nanoscale Technology and Its Impact on Modern Computing, Biology, Medicine and Agricultural Biotechnology

Nanoscale technologies have gone from being just an ambitious concept to being a rapidly advancing area of interdisciplinary science with immense practical importance. Feynman's vision on nanoscience provided great impetus to the development of nanophysics, nanochemistry, nanoelectronics and nanotechnology in general. High resolution microscopic devices such as scanning tunneling microscope, transmission electron microscope and atomic force microscope etc. in mid 1980s allowed researchers to see individual atoms on surfaces and arrange them. The authors (nanobiologists, computer scientists, biotechnologists and material scientists) attempt to provide a review of the state of the art in the field of nanoscale technologies and its impact on various fields of research like computation, basic biology, medicine and agricultural biotechnology. Imprints of memory mechanisms in living systems operating at different levels (e.g. biochemical, immunological and neuronal) have provided inputs to design and fabricate 'bio-inspired' nanoelectronic devices suitable for various applications. Several examples of such nanoscale technology based frameworks and devices are presented in the scenario of their potential role in the development of future nanoscale technologies. Nanoscale technologies might finally revolutionize computational intelligence and thinking. The power and limits of computing processes govern the intelligence, knowledge acquisition and thinking process of human and machine. Present computational methods and models provide us courage to study the problem, but these tools are not yet sufficient to answer the following riddles of machine intelligence - what can computers do better than humans? What can humans do better than computers? And the most important one - what is computable? The authors try to present evidences that show bio-inspired nanoscale technologies might gain the power in helping us to go deeper into these challenges of research in future

[1]  S. Sharma,et al.  Characterization of P0, a ribosomal phosphoprotein of Plasmodium falciparum. Antibody against amino-terminal domain inhibits parasite growth. , 1997, The Journal of biological chemistry.

[2]  M. Prato,et al.  Organic functionalization of carbon nanotubes. , 2002, Journal of the American Chemical Society.

[3]  Michael P. Frank,et al.  Reversibility for efficient computing , 1999 .

[4]  Alexis De Vos,et al.  Reversible and endoreversible computing , 1995 .

[5]  Mahua Bhattacharya,et al.  Frank H. George Research Award Winning Paper: Cybernetic approach to medical technology: application to cancer screening and other diagnostics , 2000 .

[6]  E J Vigmond,et al.  Mechanisms of electrical coupling between pyramidal cells. , 1997, Journal of neurophysiology.

[7]  Ángel Rodríguez-Vázquez,et al.  ACE16k: A Programmable Focal Plane Vision Processor with 128 x 128 Resolution , 2001 .

[8]  H. Gaub,et al.  Effects of semiconductor substrate and glia-free culture on the development of voltage-dependent currents in rat striatal neurones , 2000, European Biophysics Journal.

[9]  Shobhona Sharma,et al.  Surface expression of the conserved ribosomal protein P0 on parasite and other cells. , 2002, Molecular and biochemical parasitology.

[10]  Dipti Prasad Mukherjee,et al.  Tongue Image Analysis Software , 2003 .

[11]  G M Whitesides,et al.  The art of building small. , 2001, Scientific American.

[12]  F. Werblin,et al.  Parallel processing in the mammalian retina: lateral and vertical interactions across stacked representations. , 2001, Progress in brain research.

[13]  Hui Hu,et al.  Chemically Functionalized Carbon Nanotubes as Substrates for Neuronal Growth. , 2004, Nano letters.

[14]  D. Dutta Majumder,et al.  A unified approach to artificial intelligence, pattern recognition, image processing and computer vision in fifth-generation computer systems , 1988, Inf. Sci..

[15]  B. Hecht.  Nano-optics with single quantum systems , 2004, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[16]  M. Dresselhaus,et al.  Carbon nanotubes : synthesis, structure, properties, and applications , 2001 .

[17]  Tom Quirk,et al.  There’s Plenty of Room at the Bottom , 2006, Size Really Does Matter.

[18]  T Appenzeller,et al.  The man who dared to think small. , 1991, Science.

[19]  Prasun Kumar Roy,et al.  Frank H. George Research Award winning paper Cancer self‐remission and tumour instability – a cybernetic analysis Towards a fresh paradigm for cancer treatment , 2000 .

[20]  D. Dutta Majumder,et al.  Digital computers' memory technology , 1980 .

[21]  Arunava Goswami,et al.  Nano-fabricated Materials in Cancer Treatment and Agri-biotech Applications: Buckyballs in Quantum Holy Grails , 2006 .

[22]  Tommaso Toffoli,et al.  Design Principles for Achieving High-Performance Submicron Digital Technologies , 2002, Collision-Based Computing.

[23]  James R. Baker,et al.  The Synthesis and Testing of Anti-Cancer Therapeutic Nanodevices , 2001 .

[24]  A. Sen,et al.  Beyond the crisis: development strategies in Asia , 1999 .

[25]  L M Adleman,et al.  Molecular computation of solutions to combinatorial problems. , 1994, Science.

[26]  Mahua Bhattacharya,et al.  Registration of CT and MR images of Alzheimer's patient: a shape theoretic approach , 2000, Pattern Recognit. Lett..

[27]  P. Galland,et al.  Magnetoreception in plants , 2005, Journal of Plant Research.

[28]  Wolfgang Wiltschko,et al.  Magnetoreception , 2006, BioEssays : news and reviews in molecular, cellular and developmental biology.

[29]  M. Swaminathan.  Science in Response to Basic Human Needs , 2000, Science.

[30]  R. Hill,et al.  Exposure to interferon‐γ during synaptogenesis increases inhibitory activity after a latent period in cultured rat hippocampal neurons , 2004 .

[31]  Mikael Käll,et al.  Plasmonic sensing characteristics of single nanometric holes. , 2005, Nano letters.

[32]  Leon O. Chua,et al.  The CNN paradigm , 1993 .

[33]  Robert C. Haddon,et al.  Molecular functionalization of carbon nanotubes and use as substrates for neuronal growth , 2000, Journal of Molecular Neuroscience.

[34]  Jayanta Biswas,et al.  PARADOX OF SPONTANEOUS CANCER REGRESSION : IMPLICATIONS FOR FLUCTUATIONAL RADIOTHERMY AND RADIOTHERAPY , 1999 .

[35]  S. Sharma,et al.  Immunogenicity of the nonrepetitive regions of the circumsporozoite protein of Plasmodium knowlesi. , 1996, The American journal of tropical medicine and hygiene.

[36]  Pabitra Mitra,et al.  Feature selection and gene clustering from gene expression data , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..