Future of Biomedical is Digital - Powered by AI
Representatives across the biomedical sector joined this webinar on 23 September 2020. Mr Richard Koh, Chairman of Artificial Intelligence & High Performance Computing Chapter, opened the session with an introduction on SGTech and the strategic effort of the Chapter to help accelerate digital transformation within other sectors. He highlighted the significance of AI, especially in the current climate, and how companies can embrace it. Mr Koh urged business leaders to take action to remain sustainable and competitive.
The session continued with sharing by industry practitioners. Dr Ettikan Karuppiah, Chief Technologist (Asia Pacific South Region, NVIDIA), shared on the role of autonomously capable and AI-powered robots in process automation. Key takeaways include:
Robots can be “hard” or “soft”, that intersects with AI & Autonomy Capabilities. “Soft robots” use senses such as vision and speech to do AI tasks such as classification, clustering, defects detection, speech recognition, speech synthesis, etc. In contrast “hard robots” use AI for assisted physical movements such as navigation, manipulation, control etc.
- Full automation is possible with the right input factors in place. These include sufficient data, robotics hardware, development software, compute for training/inferencing, and deep learning/machine learning expertise with domain knowledge.
- There can be many applications of AI within the biomedical sector, as demonstrated by various use cases. The first step lies in clearly identifying the problem statement/s to be addressed.
Mr Ken Chua, Managing Director of PTC System, shed light on how organisations are rethinking digitalisation amid the Covid-19 pandemic. Focus areas include deep learning, robotic process automation, and with increased remote working, cybersecurity and hybrid cloud infrastructure and services. He also presented relevant solutions for the sector that can help companies get started.
Dr Marcelo Ang, Acting Director (Advanced Robotics Centre), NUS, lent the academic perspective on how AI is enhancing business capabilities to improve our quality of life. The recommended approach is a hybrid of both model and data-driven.
To wrap up the session, Mr Laurence Liew, Director of AI Industry Innovations & Makerspace at AI Singapore (AISG), shared about the opportunities and resources available to support companies with their AI innovations, beyond research and technology development. He highlighted 100Experiments, which is one of the key programmes, where AI Singapore works hand in hand with the industry. Successful experiments include applications for smart building management, predictive maintenance, vehicle deliveries and speech tech localisation, among others. Mr Liew also touched on AISG’s apprenticeship programme which aims to build a pipeline of AI talent to support the national push for AI adoption.
We thank our speakers from AI Singapore, NUS, NVIDIA and PTC System for their insights, as well as all attendees for their participation.