Filtered by: Department of Computer Science
CNA's investigation, "Loophole lets Singapore Pools app users place bets from overseas – despite rules against it," found that the Singapore Pools app can be accessed and used to place bets outside Singapore, despite rules confining betting to within the country.
CNA tested the app in the UK and Italy during the World Cup and placed bets successfully, and seven users described similar workarounds from countries including Thailand, Malaysia, Indonesia, Japan and China dating back to 2020, all via roaming data on Singapore telcos. The Gambling Regulatory Authority confirmed operators are required to restrict betting to users physically in Singapore, and Singapore Pools said it uses geofencing and residency checks, though it did not comment on the loophole itself.
Professor Chan Mun Choon, who directs the NUS-NCS Joint Laboratory for Cyber Security, explained the technical mechanism: mobile roaming can route traffic so an overseas user appears to be connecting from a Singapore IP address, even while physically elsewhere. He noted that telcos cannot always determine an internet traffic's true origin, which puts the onus on app owners to build in further safeguards, such as combining IP checks with GPS-based geolocation.
Professor Anthony Tung from the Department of Computer Science appeared on 狮城有约 (Hello Singapore) to analyse the wave of tech giant IPOs – from SpaceX's record-breaking public offering to the anticipated listings of OpenAI and Anthropic – and what they signal for investor and everyday AI users.
On SpaceX's extraordinary market reception, Prof Tung pointed to something more durable than hype: a long track record of delivering on technically ambitious promises. Rocket recovery technology, once widely dismissed as impractical, has become routine – and that execution credibility, he argued, is what gives investors real confidence. He also noted that SpaceX's integrated hardware-software model gives it a structural edge over pure software players, enabling rapid deployment of AI into physical devices and robotic systems.
As AI companies prepare to meet capital market expectations, Prof Tung pushed back on the assumption that monetisation pressure would trigger a price war. With open-source models and localised solutions already a significant part of the ecosystem, he argued that competition is more likely to play out on accuracy, safety, and functionality than on cost alone. On OpenAI's reported move towards advertising revenue, he observed this follows a well-worn path for internet businesses: free users may see more ads, while paying users gain a fuller, less interrupted experience.
A research project co-led by Professor Abhik Roychoudhury from the Department of Computer Science was featured in The Straits Times in a report on Singapore's national AI-for-Science (AI4S) programme.
The article highlighted the project's aim to ensure that the growing volume of AI-generated code is safe and reliable – developing AI tools to automatically detect bugs, verify that software behaves as intended, and help developers and security professionals audit critical systems. The project, AI for Program Reasoning, is co-led with Professor Christian Cadar from Imperial College London, with partners from SMU, MIT, and ETH Zürich.
Professor Anthony Tung from the Department of Computer Science was featured on CNA's Singapore Tonight live segment, speaking on the AI bubble emerging in manufacturing and the broader cost of deployment without accountability.
Prof Tung identified three patterns of waste in current AI deployment: near-identical foundation models competing within narrow benchmark margins; AI-for-science programmes built on survivorship bias; and AI assistants handed to individual employees for tasks that never aggregate into organisational value.
The root cause, he said, is the absence of AI Deployment Science – a discipline for evaluating return on investment before resources are committed. Without it, capital follows fashion.
"A company of 10,000 people asking the same question 10,000 times is not a learning organisation. It is a forgetting one."
He proposed AI Prudence as the remedy: before every deployment, ask where the value is, how it will be measured, and whether an existing capability could already do it better.
CNA, Singapore Tonight (26 May 2026)
