Hong Kong Information
Technology Industry Council (HKITIC) of the Federation of Hong Kong Industries (FHKI) (FHKI
Group 25) conducted AI & Big Data Workshop on 22nd Jun
2018. It provided another extraordinary
opportunity to explore more about their applications in commercial world. Per FHKI invitation, I attended the
workshop. I met my EngD Cohort Dr. Sunny
Chai (Vice Chairman, FHKI) and we took a photo for memory.
I recognized speaker Mr. Samson Tai and his colleagues in IBM.
(Left: I, Mr. Kin Tsang
(Executive, SaaS, Cognitive Solution, IBM Greater China Group) and Mr. Samson
Tai (Distinguished Engineer & CTO IBM Hong Kong))
In the beginning, Dr. Sunny
Chai (Vice Chairman, FHKI) gave a welcome speech. He said FHKI had successfully applied Professional
Services Advancement Support Scheme (“PASS”) for FHKI International Forum on
promoting AI, Big Data and Cloud Computing.
Now, we were honor to invite IBM CTO to share the latest tools and
advanced technologies to shape our innovative and data-driven city.
Then Dr. Sunny Chai and Mr.
Chris Huang (Group 25 Vice Chairman, HKITIC) presented a souvenir to the guest
speaker Mr. Samson Tai.
Mr. Samson Tai
(Distinguished Engineer & CTO IBM Hong Kong) presented title named “AI
Training – Putting AI to work today!” His topics included deep learning, neural
networks, deep learning frameworks and common use cases, as well as, future of
AI.
He briefed the history of deep learning and it had a breakthrough in 2012 because of Graphics Processing Unit (GPU) where deep learning was one of disciplines of machine learning. Deep Learning is equal to Training Artificial Neural Networks.
The following diagram
showed deep learning set of functions for Speech Recognition, Image
Recognition, Playing Go and Dialogue System.
Then Mr. Tai briefed its application in various industries such as
Healthcare Biology (e.g. Cancer Detection), Consumer Web Mobile, Retail (e.g.
Image Classification), Media Entertainment (e.g. Video Captioning), Autonomous
Cars Transformation (e.g. Vehicle detection) and Security Public Safety (e.g.
Face Recognition).
And then Mr. Samson Tai mentioned
deep learning process and supervised learning.
He said data without labeling had no meaning. Therefore, supervised learning was
important. After that Artificial Neuron
was introduced.
Mr. Tai introduced 3 paths
to AI System and they were:
i)
Pre-trained
model (e.g. Per-trained visual recognition AI models)
ii)
Transfer
learning
iii)
Customer models
(e.g. create customer AI models by data scientist)
The Transfer Learning is
used Pre-Trained Model with customer’s domain data to build transfer learning model
(modified the existing model) for new application. We could develop own AI model using the
common deep learning framework available in the market.
Mr. Samson Tai then briefed
the Convolution Neural Network model coded in Keras. One of example was finding information of
your favorite brand of Whisky. He also
briefed the improving Enerprise AI life cycle in Open Source to us.
There were four Deep
Learning Networks as follows:
-
Feed Forward
Neural Network (FNN) (for structure data calculation)
-
Convolution
Neural Network (CNN) (for image)
-
Recurrent
Neural Network (RNN) (for language with time series)
-
Long Short-Term
Memory Network (LSTM) (for context (前文後理))
Finally, he introduced the
Debating Technologies “Project Debater”.
During Q&A session, Mr.
Samson Tai demonstrated the Watson Studio.
He also showed some free learning paths:
He used Dr. Sunny Chai
photo as example to demonstrate the visual recognition tool to identify the
characteristic of the photo. (It also
detect the age as well!)
At the end, all FHKI Group
25 committee members took a group photo for memory.
Reference:
20180329: FHKI
International Forum: Cloud Computing, Big Data and AI in Realizing an
Intelligent Society - https://qualityalchemist.blogspot.com/2018/03/fhki-international-forum-cloud.html
20180213: FHKI Seminar on
Bay Area Soar by Innovation and Industrial Upgrading Opportunities (大灣創新騰飛, 工業升級良機) - https://qualityalchemist.blogspot.com/2018/02/fhki-seminar-on-bay-area-soar-by.html
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