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Explore how scalable collaborative zk-SNARKs enable fast, secure zero-knowledge proofs across multiple servers. This breakthrough improves privacy and scalability for AI verification, blockchain, and data markets, making advanced cryptography more accessible.

Associate Professor Ooi Wei Tsang and his team at NUS Computing have developed SafeSpect, an adaptive augmented reality system that enhances drone pilots' situational awareness for drone inspections.

A new study led by Professor Mohan Kankanhalli (Provost’s Chair Professor and Director of NUS AI Institute) reveals that large language models exhibit human-like psychological vulnerabilities when subjected to AI-driven bullying, raising important questions about AI safety and behaviour.

A new framework developed by NUS Computing’s Asst Prof Shao Lin and collaborators brings robots closer to human-like dexterity, overcoming a key barrier in robotic grasping.

A forthcoming study by NUS Computing’s Prof Jungpil Hahn and collaborators sheds new light on how software team structures impact product success in the digital economy.

KITHCT Chair Professor Chua Tat Seng and his team have developed AlphaEdit, a breakthrough approach that allows AI models to learn new facts without losing what they already know.

A new study by NUS Computing’s Shaw Professor Bernard Tan and his former PhD students reveals how empathy and subtle social cues shape generosity on microlending platforms like Kiva.

A study led by Assistant Professor LEE Yi-Chieh and his team at the AI 4 Social Good Lab (AI4SG) at NUS Computing has uncovered a surprising finding that assisting even simple AI agents can boost human mental well-being by reducing loneliness and increasing happiness.

A new study by NUS Computing’s Assoc Prof Tan Chuan Hoo reveals how leadership, user mindset, and system design determine whether enterprise systems are used effectively—or fail despite good technology.

A new study published in Information Systems Research by NUS Computing Assistant Professor Aditya Karanam sheds light on how feature strategy influences app adoption in the competitive app market.

A new study by NUS Computing’s AI4SG Lab reveals that AI confidence levels can significantly influence human self-confidence, with lasting effects on our decision-making.

LTS is a new system developed by NUS Computing researchers (Associate Professor Ooi Wei Tsang and PhD student Shi Yuang) in collaboration with researchers from the National Tsing Hua University and the National Yang Ming Chiao Tung University in Taiwan, and Rutgers University in the USA. 

Associate Professor Angela Yao and her team at NUS Computing have introduced Attention Interpolation via Diffusion (AID) and Prompt-guided Attention Interpolation via Diffusion (PAID), two new AI frameworks that take visual blending to the next level.

A new watermarking technique protects copyright in the world of LLMs

A team led by Asst Prof Zhang Jiaheng has developed a scalable, privacy-preserving way to generate zk-SNARKs—unlocking faster, secure proof generation across multiple machines.

Explore how a groundbreaking technique developed by NUS Computing’s Assistant Professor Wang Bohan is set to transform digital geometry. Tetsphere Splatting, recently presented at ICLR 2025, uses virtual clay-like spheres to deliver unprecedented detail and flexibility in 3D modelling. From gaming and architecture to cultural heritage and medical visualisation, find out how this innovation could revolutionise entire industries.