CityU & NVIDIA Technology Sharing - AI Application and Research

The Computing Services Centre (CSC) of City University of Hong Kong (CityU) organized a Seminar entitled “NVIDIA Technology Sharing Session – AI Application and Research” on 14^th Aug 2019.  I met the speaker Mr. Samuel Lo and took a photo for memory.

Mr. Samuel Lo (General Manager, Nvidia AI Technology Center) was the first speaker and his topic named “AI / HPC as a Service @ Higher Education”.  Then he briefed Nvidia history which formed by Jensen Huang in 1993 and the first GPU issued in 1996, then developed High Performance Computing (HPC) in 2006. Recently, they focused on AI ecosystem development since 2016.  

Nvidia developed HPC and AI had intersection in transforming science.

After that Mr. Lo briefed the AI for Science using transformative tool to accelerate innovation including accuracy improvement and accelerating time to solution. 

The blueprint of Nvidia AI/HPC as a Service was mentioned that including Deep Learning (DL), Machine Learning (ML), Metropolis (Smart City), Clara (Healthcare), etc. 

Mr. Lo highlighted the dramatically improvement using GPU-accelerated Data Centre that only 1 T4-Accelerated Server (2K Watts) used equal to 200 CPU Servers (60K Watts)

Finally, he discussed some challenges utilizing AI & HPC software included expertise, installation, optimization, productivity and maintenance. 

Lastly, Mr. Samuel Lo described the cooperation between Data Scientist (Developer) and System Administrator (DevOps) to drive productivity and faster discoveries. At the end, he briefed the resource for AI/HPC included Deep Learning Institute, Inception for AI Startups, GPU Technology Conference (GTC) and Nvidia AI Technology Centre, etc.

The second speaker was Charles Lo (Nvidia) and his talk introduced The AI Brain for Smart City and Smart Manufacturing. In this example, the system was able to identify suspicious car

For foundry, using AI detected defective wafer and got 7 times improvement.  

Then Charles briefed ISAAC SDK for robotics and using simulation and deploy to robot that could learn much faster.

Intelligent Video Analytics (IVA) Deep Learning Workflow Management was introduced and discussed in which included Transfer Learning Toolkit and DeepStream Software Development Kit (SDK). The DL workflow was showed as follows.

And then DeepStream SDK transfer learning workflow was mentioned.  (Now it has just launched DeepStream SDK 4.0)

The last speaker was Mr. Juniper who discussed the Clara Echo for healthcare session.

Firstly, he introduced Clara AI which used to learn different unlabeled data from MR, CT, X-ray and Ultrasound for diagnosis.

Then he introduced the Clara Train SDK in which contained 12 pre-trained models in different syndromes. 

After that he mentioned different challenges in medical deep learning included Data Annotation, Algorithms and Training Pipelines.  

Finally, he briefed how to get start the Clara Train SDK.

Lastly, he introduced AI employed in Financial sector included Investment, Credit Scoring, Fraud Detection and Customer Experience.

Reference:

CSC - https://www.cityu.edu.hk/csc/

NVIDIA - https://www.nvidia.com/en-us/contact/asia/