Building a prototype quantum computer has been perhaps one of the most exciting and controversial topics in quantum science and engineering in the last few years. Quantum computing, and quantum technologies in general, with their potential disruptive applications in a variety of disciplines, have forced countries, government agencies, and private institutions to invest heavily into this area anticipating the future developments.
With advancements in computing tools and the large amount of data collected, companies are relying on data science to make better business decisions. What if the algorithms and analytics that companies use to increase profit can be applied to improve social issues in healthcare and education, and to reap benefits for our society?
In this session, we will explore how data and tech are changing the face of healthcare and how these changes can lead to healthier lives.
Most of the current AI techniques especially related to machine learning (ML) are heavily data-driven. For example, the recent success of neural networks based deep learning has been predicated upon availability of large-scale high quality data. While AI algorithms help unlock value from data, there are many attendant risks involved. They range from private sensitive data being leaked (directly or through inference) to adversarial attacks on ML. This is of significant concern due to regulatory compliance issues due to acts such as PDPA and GDPR. Other risks involve bias in the data as well as algorithms and fairness of outcomes. The speakers will first introduce the risks involved related to AI and Data Privacy. They will also touch upon the current thinking as well as the research being done to help manage these risks.
Are you looking to start your career as a data professional, but stumped by the process or unsure where to start?
What is a quantum computer? What is AI? How can they be combined and what are the use cases?
Data affects the way we run our businesses and how we live as individuals. Understanding the ways to leverage data in your personal and professional life can help you make smarter decisions and elevate your career.
Topics: Data Science / Data Analytics
Communities are networks with shared ideals or demographics, where people build relationships and ideas rather than just meet and say goodbye. But while bringing people with common interests together might be easy, how do you sustain the relationships and keep them coming back for more? Well, through data of course!
The potential of Artificial Intelligence (AI) applications and advancement in healthcare is vast - from AI chatbots for patients to early diagnosis and genome sequencing. However, the industry is facing the constraint of sharing data within local organisations and across borders to further advance AI research.
Australia and Singapore have a shared vision that cybersecurity is an enabler which supports innovation, economic growth and social development. Both countries have stepped up efforts to forge strong international partnerships, including the 2017 MoU to enhance cybersecurity cooperation and the 2018 ASEAN-Australia Cyber Policy Dialogue for greater policy exchange and capacity building. In June 2019, Singapore PM Lee and Australian PM Scott Morrison reaffirmed cybersecurity as one of the key areas for deepening collaborations.
Are you a data professional and/or interested in data science? SGInnovate and Data Council are joining forces to bring you a meetup not to be missed! The main theme will be a Data Dialogue: Understanding Users on Social Media, with a talk by Angad Singh, Data Science Manager at Twitter Singapore.
Topics: Data Science / Data Analytics
Arise is SGInnovate’s deep tech event at Innovfest Unbound 2019. The award-winning Innovfest Unbound is the anchor event of Smart Nation Innovations, a week-long series of events that showcase Asia’s most innovative developments.
Topics: Artificial Intelligence / Deep Learning / Machine Learning / Robotics, Blockchain, MedTech / HealthTech / BioTech, Data Science / Data Analytics, Quantum Technologies, Startups, Talent, Investments