AI HIGH-PERFORMANCE COMPUTING (HPC) START-UP SESSIONS

Overview

In conjunction with the inaugural SupercomputingAsia 2018, SGInnovate, Nurture.AI and the National Supercomputing Centre are presenting a dedicated conference track on AI High-Performance Computing (HPC) for start-ups, with panel discussions on AI HPC in data science, fintech and biotech.

In conjunction with the inaugural SupercomputingAsia 2018, SGInnovate, Nurture.AI and the National Supercomputing Centre are presenting a dedicated conference track on AI High-Performance Computing (HPC) for start-ups, in partnership with GIC, with panel discussions on AI HPC in data science, fintech and biotech.

Registrations for our AI HPC Start-up Sessions will include access to the Supercomputing Asia 2018 (SCA2018) programme on 29 March, including plenary keynotes and a sharing session by GovTech on their TRANS programme. For more details, please visithttps://www.sc-asia.org/programme/#tab-id-4

Date: 29 March 2018

Time: 1:30 PM - 6:00 PM

Venue: Pisces 2 & 3, Resorts World Convention Centre, Sentosa

1:30 PM - 2:20 PM: AI High-performance Computing in Fintech

Last year, global banks like Goldman Sachs and JP Morgan released strategy reports on harnessing alternative datasets for financial trading, while Blackrock announced a massive overhaul to focus on quantitative trading. We have seen AI being applied to all areas of finance from KYC and AML compliance, to fraud detection and customer identification. When high-performance GPU computing is made more readily accessible, what will be the implications for the financial industry? What possibilities are there on the horizon?

Speakers:

Sinuhe Arroyo, CEO, Taiger
Swara Mehta, Senior Vice President, Technology Group - Data Science, GIC
Johnson Poh, Head of Data Science, DBS

Moderator: Dominic Soon, Vice President, GIC

2:20 PM - 3:10 PM: Will AI High-performance Computing Replace Data Scientists?

Evolutionary Algorithms, Meta-Learning, Transfer Learning and Hyperparameter Optimisation methods like Bayesian Optimisation have come together in recent years leading to solutions like AutoML and Datarobot that allow for the automated building of machine learning models. With the availability of high-performance GPU computing facilitating these methods to explore a greater search space in a shorter amount of time, does it mean the replacement of most data scientists?

Speakers:

Naresh R. Shah, CEO, Kinta.AI
Rimvydas Rubavicius, AI Student, University of Edinburgh

Moderator: Yap Jia Qing, Founder & CEO, Nurture.AI

3:10 PM - 4:00 PM: AI High-performance Computing in Biotech

We have seen deep learning creating breakthroughs in all areas of biotech and healthcare, from medical image classification to the identification of precursor microRNAs. With high-performance GPU computing made more readily available and optimised for neural network training, what further possibilities might it open up? What are the implications for corporates, and the ways doctors, healthcare practitioners and scientists work in the future?

Speakers: