AI Talent & Education · 2026-06-12 · 02:50
NAISC 2026 Highlights
In Brief
The National AI Student Challenge (NAISC) 2026 has concluded with students from Singapore and the region developing innovative AI solutions across eight industry-partnered tracks.
Why it matters AI Singapore leverages NAISC's eight tracks to shift talent development to the student stage, laying groundwork for its regional AI talent hub ambitions
Readable transcript
Caption language: en · Fetched: 2026-06-19
Welcome to the fourth edition of the national AI student challenge. Today we are launching eight tracks across multiple industries. Healthcare is one of them, security, telecommunications, and [music] semiconductors. I would like to encourage you to be bold, stay curious, and collaborate across disciplines. Consistently ask yourself, "How does this create meaningful value for the people and the society? " [music] >> I think what impresses the most was how students could understand how to apply technology in a real-world environment, and importantly, how to complement or augment humans with AI. >> We are happy to see so many new ideas coming from the young talents of AI. They're trying to help us to complete and make our solutions more interesting. >> All students should be interested in being change makers in AI in particular.
It's here to stay, and it's here for the future. It's going to change every part of our lives and everything that we do at work. >> Their creativity, their dedication to actually come up with certain tech that was not only just for this competition, but something that can be used in regular life. That was what truly impressed me the >> They were actually not looking at just the technical component of solving the problem. They actually asking things that is very practical. Example like, "How do we scale the solution? " Have to consider the user experience in the solution that they have built. >> I would like to encourage students to really try to build a prototype and get actual user to test it so that they are able to learn and iterate on the prototyping process.
>> It's a whole range of problems that I've seen them solve, ranging from clinical trials to parking, to HR recruitment is all very very impressive. I would like to encourage you to continue the mindset of taking action to solve real issues whenever you see a problem such as the innovative projects that you have worked hard on. This mindset would go a long way. You may one day become policy makers or leaders of various industries and play a crucial role in ensuring AI is used in a meaningful and purpose-driven way.
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