SSEF 2022 Fringe Activities
The activities comprise online STEM talks and virtual STEM learning journeys, i.e. the SSEF "A Hundred Hows" Virtual Learning Journeys.
These activities aim to spark students’ curiosity in STEM through demonstrating how STEM learning in the classroom is relevant in the real world and how STEM helps us make sense of the world around us and overcome some of the challenges encountered.
The activities are open to students studying in Singapore schools. Teachers are also invited to join. As limited spaces are available for the STEM talks, confirmation of registration will be on a first-come-first-served basis. Do sign up quickly.
Registration
Click here to register for the STEM Talks! Find out more about each talk below.
-
Talk 1: Engineering Research & Development
Date: 23 February 2022 (Wednesday)
Time: 3 PM – 4 PM
Mode: Online (Zoom)
|
|
Speaker:
|
Wang Zhaomin
Development Engineer, A*STAR
|
|
|
|
Synopsis:
|
Engineering in R&D – a bunch of easy-to-understand words but do we really know what it means?
This session shares about what R&D Engineering is like in the manufacturing industry, the speaker’s experiences in this field and some ideas she might have for you to get started on this!
|
| Video: |
|
Talk 2: Harnessing digital technologies for our nation’s defence
Date: 3 March 2022 (Thursday)
Time: 3 PM – 4 PM
Mode: Online (Zoom)
|
|
Speaker:
|
Daryl Lee
Head Engineering, DSTA
|
|
|
|
Synopsis:
|
The talk will give an introduction of Artificial Intelligence, covering the underlying technologies, why now. It will be followed by a sharing of real-world use cases in commercial and government sectors. The speaker will
conclude with way ahead and interesting technology developments such as MetaVerse, Unreal gaming engines, and their impacts.
|
| Video: |
|
Talk 3: Clean Water from Clean Energy - Harnessing Solar Energy for a More Sustainable Tomorrow
Date: 9 March 2022 (Wednesday)
Time: 3 PM – 4 PM
Mode: Online (Zoom)
|
|
Speaker:
|
Elaine Quek
Deputy Director, Policy and Planning Department, PUB
|
|
|
|
Synopsis:
|
With water demand projected to almost double by 2060 as compared to today, PUB Singapore’s (PUB) energy needs will increase as we rely more on weather-resilient yet energy-intensive sources – NEWater and desalinated water.
A key strategy to manage our energy use is increasing renewable energy production through the deployment of solar photovoltaic (PV) systems on our land installations and on our reservoirs.
|
| Video: |
|
Talk 4: Leveraging AI to empower Home Team’s operations and enhance Singapore safety and security
Date: 16 March 2022 (Wednesday)
Time: 3 PM – 4.30 PM
Mode: Online (Zoom)
|
|
Speaker:
|
Dr Huang Shisheng
Head Risk Profiling Analytics, Cognitive Computing, Data Science, HTX
Alvin Wong
Engineer, Sensors and sense-making, Sense-making & Surveillance Centre of Expertise, HTX
|
|
|
|
Synopsis:
|
How does Data Science and Artificial Intelligence (AI) help to keep Singapore safe? Hear from HTX’s Data Scientist to find out how data science can be applied to solve crimes and save lives. Learn from our Sensors and Sensemaking
Engineer about the AI behind Xavier, the HTX robot developed to help government agencies keep our public spaces safe.
|
| Video: |
|
Talk 5: Challenges in building Artificial Intelligence Applications
Date: 23 March 2022 (Wednesday)
Time: 3 PM – 4 PM
Mode: Online (Zoom)
|
|
Speaker:
|
Dr Chieu Hai Leong
Distinguished AI Scientist, DSO
|
|
|
|
Synopsis:
|
Recent advances in artificial intelligence (AI) have enabled many applications such as speech recognition and machine translation. Such applications are driven by machine learning which requires massive amounts of manually annotated
data, such as manual speech transcripts, to achieve good performance. In reality, annotation of data for each new application is time consuming, and the reliance on big annotated data limits the general application of AI. This
talk addresses past and recent ideas on building applications with small amounts of annotated data, and current research directions in building more generalisable machine learning algorithms.
|
| Video: |
|
-
Click here where you can also catch up on the e-learning journey videos from!
Our Partners
Click here to find out more.