Filtered by: AI
30 June 2026
A team from NUS School of Computing took the Best Paper and Presentation Award at PPMisDet, a misinformation detection workshop held at CVPR 2026 in Denver in June.
24 June 2026
Professor Abhik Roychoudhury spent decades working on how to make software fix itself. His research at NUS Computing became AutoCodeRover, was acquired by Sonar in 2025, and now underpins a commercial offering used by developers worldwide — SonarQube Remediation Agent.
22 June 2026
Associate Professor Bryan Low’s project on “Self-Configurable Agentic Learning via Co-Optimization” has been selected for the AWS Agentic AI Amazon Research Awards (ARA). His research explores how to unify the strengths of Context Engineering and Reinforcement Learning into a single coherent approach.
17 June 2026
If you’ve ever used ChatGPT and felt that something sounds right, but you’re not entirely sure if it actually is, you’re already thinking about the kind of problems Prof Anji works on. He studies machine learning, focusing on generative AI. But his work is not about making these systems more impressive. It’s about making them more reliable, getting them to follow logic and constraints, not just patterns. Because those two things are still far apart.
9 June 2026
A student at NUS School of Computing and the NUS FinTech Lab, Sumit was one of just 14 university builders selected worldwide for the XRPL Student Builder Residency 2026 at Ripple’s London office. Sumit developed Verix, a blockchain-based task settlement system designed for AI agents, which he describes as “the trust layer for the agentic economy”.
5 June 2026
Assistant Professor Ambuj Varshney and his WEISER research group are building a way around this. His project, “TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers”, has been selected for the 2026 Google Awards for Machine Learning Research and Education with TPUs.
29 May 2026
Training a large language model is not just about writing good code and pressing run. These models are spread across hundreds or thousands of processors – such as Google's Tensor Processing Units (TPUs), specialised accelerators designed to train and serve large-scale machine learning models – that must learn to work in lockstep: exchanging data, splitting tasks, staying synchronised. When something goes wrong, the whole system slows down, and expensive hardware sits idle.
26 May 2026
Singapore Vision Day 2026 returned to NUS School of Computing on 15 and 16 May, bringing together researchers, students, and industry practitioners for two days of talks, discussions, and research exchange across computer vision, graphics, embodied AI, multimodal AI, and robotics.
22 May 2026
SonarSource has globally launched SonarQube Remediation Agent at ATxSummit 2026 in Singapore. The product is the commercial evolution of AutoCodeRover, an AI agent for automated software bug repair developed by Professor Abhik Roychoudhury and his team at NUS Computing's Trustworthy and Secure Software research group.
22 May 2026
NUS School of Computing has been recognised with the OpenGov Asia Recognition of Excellence Award 2026 for its ScholAIstic AI-driven learning platform, developed by the AI Centre for Educational Technologies (AICET).
18 May 2026
NUS Presidential Young Professor Yang You from NUS Computing's Department of Computer Science has been selected for the Google 2026 Awards for Machine Learning Research and Education with TPUs.
8 May 2026
For the roughly 500 million people living with diabetes worldwide, even a small cut or blister on the foot can become a crisis. Diabetic wounds heal slowly, resist treatment, invite infection, and in severe cases lead to amputation. Doctors have limited options, and the search for better therapies is painfully slow.
24 April 2026
Team Kent Ridge, the eight NUS Computing students secured first place overall at SBCC’26, outperforming 13 international teams, many of which had prior competition experience and established HPC backgrounds.
17 April 2026
Every day, millions of lines of code are written without a single human typing them. AI coding assistants have become the fastest-growing contributors to software projects worldwide – generating, completing, and committing code at a pace no human team can match.
15 April 2026
Two papers from the Augmented Human Lab have earned Honourable Mention Awards at ACM CHI 2026, the world’s leading conference in human-computer interaction. The award recognises the top 5% of accepted papers for their originality, rigour, and potential impact.
13 April 2026
A new model that teaches AI to understand and create music – across audio waveforms, symbolic notation, and text – has won Best Paper Award at the 32nd International Conference on Multimedia Modeling (MMM 2026), held in Prague, Czech Republic from 29 to 31 January 2026.
10 April 2026
Two faculty members from NUS Computing have been selected as StarTrack scholars by Microsoft Research Asia, Assistant Professor Yatao Bian and Sung Kah Kay Assistant Professor Jialin Li.
8 April 2026
The AI for Social Good (AI4SG) Lab, led by Assistant Professor Lee Yi-Chieh from the Department of Computer Science, has earned four Honourable Mention Awards at ACM CHI 2026 – the world's premier conference in human-computer interaction.
25 March 2026
Associate Professor Ooi Wei Tsang from the Department of Computer Science was featured in a report by The Business Times on the rapid uptake of new open-source AI agent OpenClaw and the risks it raises for enterprise use.
Associate Professor Ooi Wei Tsang from the Department of Computer Science was featured in a report by The Business Times on the rapid uptake of new open-source AI agent OpenClaw and the risks it raises for enterprise use.
The article looks at how tools like OpenClaw can carry out multi-step tasks with minimal human input, allowing users to automate workflows quickly. However, this ease of use also means such tools may be deployed without proper oversight or safeguards.
A/Prof Ooi cautioned that using these systems without appropriate controls can expose organisations to significant risks.
He likened it to “hiring an intern who blindly obeys instructions, while still giving them deep access to enterprise system, and allowing external parties to send instructions directly.”
A/Prof Ooi added that large language models can produce incorrect or misleading instructions, which may lead to unintended or harmful actions when executed by autonomous systems.
The report highlights growing concerns around “shadow AI”, where such tools are used outside formal IT governance, and the need for stronger safeguards including validation, human oversight and secure system design.
24 March 2026
Led by Professor Zhang Yang from NUS Computing, NUS Biochemistry, and the Cancer Science Institute of Singapore, a research team has developed a hybrid framework that combines deep learning with physics-based modelling to improve the predictions of complex protein structures.
