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August 17-18, 2017 | Toronto, Canada
ANNUAL BIOTECHNOLOGY CONGRESS
allied
academies
Ann Biol Sci, 2017
ISSN: 2348-1927
O
rganic electronics gained significant interest at a time
when neural-network or artificial intelligence become
a main-stream technology after more than 25 years of
nascent stage. Transportation industry is an early adaptor
of the technology. When next generation vehichle systems,
including autonomous vehicle need a significantly precise
control of the sensing mechanism, the success of the
technology will also depend on how precisely such device can
predict human behaviour. As a result, a significant amount
of research has been underway on neural-network system
to more accurately predict human behavior in a sensor
dominated world, with a precise control of predictability
behavior over the service life of new vehicle systems. This
presentation will highlight the design, construction and
validation of flexible elelctronic devices from laboratory
scale to pilot scale and present early stage data on relations
between the unit process and intrinsic uncertainty to predict
human behaviour with confidence. To address these issues
an artificial intelligent system seems to be a very good
option. Artificial neural networks (ANNs) are a family of
models inspired by biological neural networks (brain). On
the bright side, we only need approximate formulation, we
can show the program some examples of input and output,
and let the program find out how to provide output from
the input. The ANN has its own drawbacks. Although ANN
is used for LCA, all the aspect of the LCA is fuzzy in nature.
Speaker Biography
Mohini Sain has completed his PhD in 1989 and worked in industry as Consultant be-
fore he became an Academic. He is the Professor/Director of Centre for Biocomposites
and Biomaterials Processing, University of Toronto, a premier advanced biomaterials
research organization. He has published more than 400 papers in reputed journals,
spinned off several companies for his research inventions and holds more than 40 pat-
ents and patent applications. He is the Author and Editor of seven books.
e:
m.sain@utoronto.caMohini M Sain
University of Toronto, Canada
Organic electronic devices : cellulosic nanocomposites
Mohini M Sain, Ann Biol Sci, 2017, 5:3
DOI: 10.21767/2348-1927-C1-001