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ARTIFICIAL INTELLIGENCE:
TODAY AND FUTURE
ALEXANDRE G. EVSUKOFF
COMPUTATIONAL SYSTEMS GROUP – COPPE/UFRJ
PHYSICAL SYSTEM
SENSOR / DATA GENERATION
STORAGE AND PROCESSING
ADVANCED ANALYTICS
BUSINESS / DECISION
https://hbr.org/2017/04/how-companies-say-theyre-using-big-data
https://canvas.uw.edu/courses/945241/files/30171038/download
http://www.gensym.com/
RULE BASED EXPERT SYSTEMS
THE MODIG SYSTEM (1991)
http://hunch.net/~coms-4771/quinlan.pdf
http://www.nature.com/nature/journal/v323/n6088/abs/323533a0.html
BACKPROPAGATION LEARNING
FORWARD PROPAGATION
eta = 0.20
teta 0
teta1
-10 -5 0 5 10
-10
-8
-6
-4
-2
0
2
4
6
8
10
Fç.Custo
Grad.Est.
Met.Grad.
eta = 0.02
teta 0
teta1
-10 -5 0 5 10
-10
-8
-6
-4
-2
0
2
4
6
8
10
Fç.Custo
Grad.Est.
Met.Grad.
https://jixta.wordpress.com/2015/07/17/machine-learning-algorithms-mindmap/
A. G. Evsukoff e S. Gentil, Recurrent neuro-fuzzy system for fault detection and isolation in nuclear reactors, Advanced
Engineering Informatics, vol. 19, no. 1, pp. 55-66, 2005. https://doi.org/10.1016/j.aei.2005.01.009
Fault diagnosis in nuclear reactors
Document clustering
C. K. dos Santos, Análise de Agrupamento em Coleções de Documentos: Uma Abordagem Baseada na Detecção Espectral de
Comunidades em Redes Complexas, Dissertação de Mestrado do Programa de Engenharia Civil, COPPE/UFRJ, 2009
http://www.sciencedirect.com/science/article/pii/S0965997814000994
Optimal design of pipeline routes
with GA
Advanced Analytics and BI solutions
Nature 521, 436–444 (28 May 2015) doi:10.1038/nature14539
LeNet-5 convolutional neural networks
http://yann.lecun.com/exdb/lenet/index.html
Y. LeCun, B. Boser, J. S. Denker, D. Henderson, R. E. Howard, W. Hubbard and L. D. Jackel: Backpropagation Applied to
Handwritten Zip Code Recognition, Neural Computation, 1(4):541-551, Winter 1989,
Hinton, G. E.; Salakhutdinov, R. R. (2006). "Reducing the Dimensionality of Data with Neural Networks" (PDF). Science 313 (5786): 504–507.
http://www.cs.toronto.edu/~hinton/science.pdf
http://image-net.org/challenges/LSVRC/2016/index
Deep learning for stock market
prediction from financial news articles
Generative Models
https://blog.openai.com/generative-models/
http://www.nature.com/nature/journal/v529/n7587/full/nature16961.html
https://deepmind.com/blog/deepmind-ai-reduces-google-data-centre-cooling-bill-40/
DeepMind AI Reduces Google
Data Centre Cooling Bill by 40%
“Since our objective was to improve data centre energy efficiency, we trained
the neural networks on the average future PUE (Power Usage
Effectiveness)”
http://www.deeplearningbook.org/contents/intro.html
https://developer.nvidia.com/deep-learning-software
The deep learning ecosystem
http://www3.weforum.org/docs/WEF_White_Paper_Technology_Innovation_Future_of_Production_2017.pdf
Work automation
http://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/where-machines-could-replace-humans-and-where-they-cant-yet
Work automation
https://www.accenture.com/us-en/insight-promise-artificial-intelligence
Computational Systems Group
The Computational System Group is focused in the
development of machine learning and data-intensive
computing techniques for modeling complex systems in
engineering applications.
 Main research axes:
 Machine learning
 Data-intensive computing
 Complex networks
 Bio-inspired optimization
 Risk analysis
 Intelligent decision support systems
www.ntt.ufrj.br
Artificial Intelligence: Today and Future

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Artificial Intelligence: Today and Future