2021


AI and Big Data Intelligence are the Future Engine for Maritime Growth

[BY INVITATION] MARITIME AI WORKSHOP

3 Dec 2021

Artificial Intelligence (AI) has increasingly attracted investments and affected all sectors in their transformation development and planning, including the maritime industry. Therefore, careful consideration of how AI applications could be adopted in maritime is paramount and require efforts from all relevant stakeholders, particularly because they may share similar resources or rely on similar underlying big data and models.

In this workshop organised by A*STAR's Institute of High Performance Computing (IHPC) and Singapore Maritime Institute (SMI), participants are invited to discuss, identify the challenges and gaps, and share their ideas for developing key capabilities, outlining potential opportunities to advance maritime AI research and the use of domain knowledge and scientific data to support a transition toward next-generation maritime development for Singapore and the world. 


The Economist's Future of Healthcare Week Asia 2021

[PANEL DISCUSSION] TELEMEDICINE PLUS - CLARIFYING REGULATORY FRAMEWORKS

23 Nov 2021

Regulations around telemedicine need to be promptly clarified, as do those regarding the use of AI in healthcare and the ethical considerations
 involved. If the best way to predict the future is to create it, how can we work together to foster innovation? 

Dr Rick Goh, Department Director, Computing and Intelligence, A*STAR's Institute of High Performance Computing (IHPC) and Dr Soonman Kwon, President, Korea Health Industry Development Institute shared more insights at the live interaction. 


SBC-UL Masterclass

[WEBINAR] SBC-UL MASTERCLASS: INTRODUCTION OF STANDARDS FOR MICROMOBILITY

16 Nov 2021

Micromobility, including electric scooters, bikes and motorcycles, play increasingly important roles to help cities reduce car usage, tackle traffic congestion and air pollution, and address the last mile transportation challenges. The proliferation of micromobility is not without its own issues especially when it can become a source of fire hazards. This Masterclass is the finale of the series of six webinars on international standards for battery value chains, jointly brought by Singapore Battery Consortium (SBC) and Underwriters Laboratories Inc.

Dr Jason Png, Department Director of Electronics and Photonics at A*STAR's Institute of High Performance Computing (IHPC) shares more insights on Micromobility Wireless Charging and Emerging Battery. 
suitable AI tools. Increasingly, AI is being used to enhance decision-making, improve productivity, deliver cost savings, as well as capture business value from data.
 
In this upcoming ACCM Webinar, participants will have the opportunity to hear from Dr. Rick Goh, AI Scientist and Department Director of Computing and Intelligence Department from the A*STAR Institute of High Performance Computing (IHPC). Besides weighing in on his industry-oriented, academically-backed perspectives on AI and machine learning; Dr Rick will also demystify the main challenges of developing AI models, as well as share some of the real-world benefits and impacts that AI could offer.


A* DE Industry Symposium


[WEBINAR] A*STAR DIGITAL EMOTIONS INDUSTRY SYMPOSIUM

15 Sep 2021

The A*STAR Digital Emotions Industry Symposium aims to introduce A*STARโ€™s high Technology Readiness Level (TRL) capabilities in Digital Emotions to a broader industry and practitioner audience. This yearโ€™s focus is to introduce ๐™๐™š๐™จ๐™ค๐™ฃ๐™–๐™ฃ๐™˜๐™š ๐™Ž๐™ค๐™˜๐™ž๐™–๐™ก - the new end-to-end advanced social listening platform solution. We bring you an exciting line-up of speakers ranging from affective computing technologists to industry experts from public administration, media, communication and deeptech startup.

Speakers: 

  • The Science behind Digital Emotions | Dr Yang Yinping, Senior Scientist & Principal Investigator of Digital Emotions, Institute of High Performance Computing, A*STAR
  • Introducing Resonance Social: Democratising Social Analytics | Ms Therese Quieta, Innovation Lead and Resonance Social Engineer Team Co-Lead, Institute of High Performance Computing, A*STAR
  • Expert Panel Discussion: Leading Public, Consumer and Social Innovations

Moderator
> Ms Amy Foo, Director, Modern Services and Built Environment, Enterprise Division, A*STAR
Panellists:
> Mr Eddy Goh, Deputy Director, Transformation & Research Analytics, Public Transport Council
> Mr Bertrand Tan, Head, Analytics, Corporate Communications Division, A*STAR
> Ms Shen Yue, Branding & Audience Editor Chinese Media Group, Singapore Press Holdings
> Mr Manuel Ho, Founder and CEO, INTNT.AI 


Simulating Quantum Dynamics with NISQ Devices

[WEBINAR] IHPC QUANTUM TALK SERIES [5/5]

21 May 2021

Simulating Quantum Dynamics with NISQ Devices
Simulating the dynamics of many-body quantum systems is believed to be one of the first applications for quantum computers that could show a quantum advantage over classical computers. Noisy intermediate-scale quantum (NISQ) algorithms aim at effectively using the currently available quantum hardware. For quantum simulation, various types of NISQ algorithms have been proposed with individual advantages and challenges. 

In this talk, Mr. Kishor Bharti from the Centre for Quantum Technologies, National University of SIngapore will discuss the progress at the frontier of digital quantum simulation with NISQ devices and present a summary of their recent results in this direction.


SMTC 2021


SINGAPORE MARITIME TECHNOLOGY CONFERENCE (SMTC) 2021


22 Apr 2021

[WEBINAR] AI ROUNDTABLE: INTEGRATING HUMAN AND INTELLIGENCE MACHINES AT SEA AND SHORE

  • Catching up on AI revolution
  • Is AI cost reduction mechanism or a thrilling possibility for progressive growth?
  • Readiness โ€“ a reality check!
  • Building a business case for AI in the shipping company

Dr. Xiuju Fu, Senior Scientist from A*STAR Institute of High Performance Computing (IHPC) are joining a group of expert panellists at the SMTC 2021 to discuss topics on human and artificial intelligence (AI) contributions to the maritime sectors.

Moderator:
> Charles Crouspeyre, Artificial Intelligence Director, A.I. ASEAN Lead, Accenture AI, Singapore

Panellists:
> Prof Chen Tsuhan, Chief Scientist, AI Singapore
> Koichiro Hayashi, Manager of Bulk/Energy Research Team, NYK, Japan
> Claus Nehmzow, Chief Innovation Officer, Eastern Pacific Shipping, Singapore
> Pierre Guillemin, Vice President Technology, Wรคrtsilรค Voyage, Finland


Webinar_Reimagining Learning

REIMAGINING LEARNING: MAKING THE CLASSROOM COME A*LIFE

19 Apr 2021

The Office of Education Research at NIE and Institute of High Performance Computing at A*STAR are jointly organising a workshop on the application of AI for Education. The objective of the workshop is to allow researchers and domain stakeholders to share their research interests in order to foster collaboration between the two institutions.
This is the second installment of the OER-A*STAR collaborative workshop. In this interactive workshop, participants will collaborate to share research interests and brainstorm research proposals. Participants will be grouped into the following five breakout rooms, based on their top interests indicated in the registration form:
  • Affective Computing
  • Student Assessment
  • AI Learning Companions
  • Blended Learning
  • Effective Computer Science Instruction with AI

IHPC Quantum Talk Series [4-5]

[WEBINAR] IHPC QUANTUM TALK SERIES [4/5]

16 Apr 2021

Near-term Quantum Algorithms for Linear Systems of Equations
Solving linear systems of equations is essential for many domains in science and technology. Existing quantum algorithms have demonstrated the potential for large speedups, but the required quantum resources are not yet available on NISQ devices.

In this talk, Mr. Kishor Bharti from the Centre for Quantum Technologies, National University of Singapore will share how he and his co-authors design near-term algorithms and use them to scale up system sizes in near-term quantum devices of about 100-300 qubits.


IHPC Quantum Talk Series [3-5]

[WEBINAR] IHPC QUANTUM TALK SERIES [3/5]

9 Apr 2021

Optimal Resource Cost for Error Mitigation
Dr. Ryuji Takagi, from Nanyang Technological University and his co-authors provide a general methodology for evaluating the optimal resource cost for error mitigation employing methods developed in resource theories. It is performed by considering the probabilistic error cancellation as an error mitigation technique. The team also apply the analysis to several other noise model classes and provide generic bounds applicable to general noise channels given in a specific form.

In this talk, Dr. Ryuji will share how the results offer insights into the potential and limitations of feasible error mitigation on near-term devices and also display a useful application of ideas and tools in resource theories.


Webinar_Riding Wave of Digitalization

[PANEL DISCUSSION] RIDING THE WAVE OF DIGITALIZATION AND BIG DATA

25 Mar 2021

Radical digital transformation and BIG Data is increasingly becoming a necessity for enterprises and firms thinking strategically about how they 
can get ahead of their competitors. From hiking productivity to better understanding customers and employees' needs, companies are adopting digitisation and data analytics strategies intelligently in enhancing their business decisions.

Voice of Asia (VoA) is organising a panel discussion with industry practitioners to understand how businessesโ€™ are navigating digital transformation and utilising data to reinvent themselves.  


Webinar_Skin Research Webinar Series

SINGAPORE SKIN RESEARCH WEBINAR SERIES

24 Mar 2021

Transdermal Delivery II - In Silico Methodologies for Investigating Skin Penetration

Topical formulations represent a direct and convenient route to deliver actives through the skin. The stratum corneum presents a major barrier to percutaneous absorption, that can limit the penetration of the active to the deeper skin layers or soft tissues. To assess skin penetration, several in vitro methodologies, including artificial membranes, reconstructed human skin equivalents, animal and human ex-vivo skin tissue, used in conjunction with diffusion cells have been developed.
However, these approaches are limited in providing information of physiological relevance due to a variety of constraints. In this webinar, join Dr. Freda Lim, Dr. Marco Klahn and Dr. Anjaiah Nalaparaju from A*STAR's IHPC and Dr. James Chan from SIFBI where they will share with us the in silico methodologies that can be combined to provide a robust approach for predicting in vivo skin penetration kinetics.
 

IHPC Quantum Talk Series [2-5]

[WEBINAR] IHPC QUANTUM TALK SERIES [2/5]

12 Mar 2021

QAE and IQAE: A Blueprint for Quantum Advantage
Current noisy intermediate-scale quantum (NISQ) algorithms such as variational quantum algorithms (VQA) employ a classical-quantum feedback loop to update the parameters of a parametric quantum circuit. However, these algorithms have limitations related to trainability and expressibility. In this talk, Mr. Kishor Bharti (NUS) will discuss a new generation of algorithms that could be effectively implementable onto current-term hardware, thus providing possibility for quantum advantage in the NISQ era. 


Webinar_Global Maritime Traffic Management (MTM) Workshop

[WEBINAR] GLOBAL MARITIME TRAFFIC MANAGEMENT (MTM) WORKSHOP

25 Feb 2021

Panel Discussion: Development Trends and Emerging Technologies for Maritime Traffic Management

Dr Fu Xiuju, Senior Scientist at A*STAR's Institute of High Performance Computing was invited to join other panellists to share their thoughts on trending topics in maritime traffic management (MTM). 

Panellists:

  • Mr David Foo, Assistant Chief Executive (Operations Technology), Maritime and Port Authority of Singapore (MPA)
  • Mr Todd Schuett, Innovation Project Manager, Kongsberg Norcontrol
  • Mr Duane Hand, Senior Solution Engineering Manager, Speedcast

Moderator: Mr Ronny Waage, Managing Partner, Heron Advisory


IHPC Quantum Talk Series [1-5]

[WEBINAR] IHPC QUANTUM TALK SERIES [1/5]

19 Feb 2021

Estimating Quantum Expectation Values using Classical Shadows on Noisy Quantum Computers
The classical shadows protocol is a quantum algorithm for estimating quantum expectation values with respect to an unknown quantum state. Unlike full quantum state tomography, the protocol requires only a few quantum measurements to make many predictions with a high success probability. In this talk, Dr. Koh Enshan, Dax from IHPC will describe the classical shadows protocol and derive rigorous mathematical bounds on its performance on noisy quantum computers.  

SCA21

SUPERCOMPUTINGASIA (SCA) 2021

2-4 Mar 2021

The COVID-19 pandemic has caused severe disruption to global economic activity and brought significant impacts, affecting different 

sectors in varying degrees and people's everyday lives. IHPC has taken a step ahead to understand the virus and invested R&D efforts to help public sector agencies and business owners combat challenges and carry out operational activities with safety measures. 

During the virtual presentation under HPC-AI for COVID New Normal, participants get to learn how IHPC demonstrates computational modelling expertise using HPC and artificial intelligence (AI) to promote safe reopening of economic activities and distancing measures. Some used cases include understanding airborne droplets' spread and movement in different conditions and environments, tracking emotional responses during COVID, predicting car mobility behaviour and more.    

  • COVID-19 Big Social Data Analytics: Enabling Communication Science Enquires through Emotion Analytic Social Technologies 
  • AI Models for Detecting Pneumonia using Chest X-rays
  • Pandemic-inspired Computational Model for Pandemic Proofing Society
  • Spatial-temporal Potential Exposure Risk Analytics and Urban Sustainability Impacts related to COVID-19 Mitigation: A Perspective from Car Mobility Behaviour
  • Modelling of Safe and Efficient Germicidal UV-C LED Solutions

If you wish to find out more on above presented talks, do write to us at enquiry@ihpc.a-star.edu.sg.