Filtered by: Research

Held at the Shaw Foundation Alumni House, the full-day event brought together experts working at different layers of the computing stack – from devices and memory technologies to accelerators, processors, and large-scale infrastructure – to address one of computing’s most urgent challenges: the rising energy footprint of Artificial Intelligence (AI).

We are proud to share that two faculty members from the NUS School of Computing — Distinguished Professor Yan Shuicheng and Professor Zhang Yang — have been named among the world’s Highly Cited Researchers 2025  by data analytics firm Clarivate. 

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.

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.

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.