Dr. Miguel Fierro
Data Scientist at Microsoft
@miguelgfierrohttps://miguelgfierro.com
King’s College London, Industry Talks | Nov 30, 2016 | London
KCL Industry Talk 2016 - Dr. Miguel Fierro @miguelgfierro
source: wikipedia
“Empowering every person and
every organization on the planet
to achieve more” Satya Nadella
KCL Industry Talk 2016 - Dr. Miguel Fierro @miguelgfierro
“We’re all mad here.”
“How do you know I’m mad?” said Alice.
“You must be, or you wouldn’t have come here.”
KCL Industry Talk 2016 - Dr. Miguel Fierro @miguelgfierro
“If you don't know where to go,
any way will take you there,
if you only walk long enough”
KCL Industry Talk 2016 - Dr. Miguel Fierro @miguelgfierro
Electrical Engineering:Not always that fun
KCL Industry Talk 2016 - Dr. Miguel Fierro @miguelgfierro
video: https://www.youtube.com/watch?v=CSB8vTjFkGY
KCL Industry Talk 2016 - Dr. Miguel Fierro @miguelgfierro
“We’re all mad here.”
“How do you know I’m mad?” said Alice.
“You must be, or you wouldn’t have come here.”
KCL Industry Talk 2016 - Dr. Miguel Fierro @miguelgfierro
link to github: https://github.com/miguelgfierro
KCL Industry Talk 2016 - Dr. Miguel Fierro @miguelgfierro
code: https://github.com/miguelgfierro/sciblogblog: https://miguelgfierro.com
KCL Industry Talk 2016 - Dr. Miguel Fierro @miguelgfierro
source: https://github.com/garrett/Tuxsource: https://octoverse.github.com/
Top 1 contributor on Github
KCL Industry Talk 2016 - Dr. Miguel Fierro @miguelgfierro
“If you don't know where to go, any way will take you there,
if you only walk long enough”
KCL Industry Talk 2016 - Dr. Miguel Fierro @miguelgfierro
Soft robotics
source: http://nms.kcl.ac.uk/core/?page_id=1963
New actuators(Shape Memory Alloy)
source: http://roboticslab.uc3m.es/roboticslab/project/mars-dw
New sensors(Artificial skin)
source: Park et al, 2015 (link to paper)
KCL Industry Talk 2016 - Dr. Miguel Fierro @miguelgfierro
15.4%
7.3%
6.7%
3.6%3.1%
5.1% (human)
error (%)
ImageNet (image recognition competition) top-5 error
AlexNet(2012)
VGG(2014)
Inception(2015)
ResNet(2015)
Inception-ResNet(2016)
AI is ready for
production
KCL Industry Talk 2016 - Dr. Miguel Fierro @miguelgfierro
LeNet Convolutional Neural NetworkLayers: c=convolution, p=pooling, fc=fully connected
KCL Industry Talk 2016 - Dr. Miguel Fierro @miguelgfierro
source: https://blogs.technet.microsoft.com/machinelearning/2016/10/31/applying-cloud-deep-learning-at-scale-with-microsoft-r-server-azure-data-lake/
KCL Industry Talk 2016 - Dr. Miguel Fierro @miguelgfierro
1.
2.
3.
4.
5.
source: https://blogs.technet.microsoft.com/machinelearning/2016/11/15/imagenet-deep-neural-network-training-using-microsoft-r-server-and-azure-gpu-vms/
KCL Industry Talk 2016 - Dr. Miguel Fierro @miguelgfierro
source: https://blogs.technet.microsoft.com/machinelearning/2016/11/15/imagenet-deep-neural-network-training-using-microsoft-r-server-and-azure-gpu-vms/
Real class
Predicted class
KCL Industry Talk 2016 - Dr. Miguel Fierro @miguelgfierro
Crepe CNN for Sentiment Analysis
source: Xiang Zhang, Junbo Zhao, Yann LeCun. Character-level Convolutional Networks for Text Classification. NIPS 2015code: https://github.com/ilkarman/Bangalore_Sentiment
KCL Industry Talk 2016 - Dr. Miguel Fierro @miguelgfierro
Microsoft Research achieves parity with human speech level
source: http://blogs.microsoft.com/next/2016/10/18/historic-achievement-microsoft-researchers-reach-human-parity-conversational-speech-recognition
CNN(VGG, ResNet, LACE)
RNN(Bi-LSTM)
Multi-GPU and multi server(1-bit Stochastic Gradient Descent)
KCL Industry Talk 2016 - Dr. Miguel Fierro @miguelgfierro
Financial forecasting
Predictive maintenance
Sport analytics
Machine learning research
Rolls-Royce
Real Madrid
KCL Industry Talk 2016 - Dr. Miguel Fierro @miguelgfierro
DNNs (learn complex patterns)
Intelligent applications
Cloud (flexibility, scalability, efficiency)
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