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SUTD students won second prize in the university category at this year’s Dell InnovateFest competition. Their application “Bloom Up” was created to help users in a Movement for the Intellectually Disabled of Singapore (MINDS) programme carry out everyday tasks on their own.

Senior lecturer, Dr Teo Tee Hui shared his expert opinion on the new billion-dollar hydrogen-ready power plant that is coming up on Jurong Island and what it means for Singapore energy needs.

As parents worry about AI chatbots going rogue and providing detrimental advice to their children, Professor Yow Wei Quin shared her expert opinion that this is about AI misalignment, and that guardrails are typically installed or improved only after technological advances.

Automation is taking on labour-intensive tasks such as grouting, painting and cleaning, reducing workers’ exposure to hazards. Robots such as Dragonfly, a mosquito trapping robot, sTetro, a staircase cleaning robot and Mantis, a modular window facade cleaning, all developed by Professor Mohan Elara and his team, were featured.

A research team led by Assistant Prof Zhao Na developed IterFlow, a lightweight learning framework that helps 4D radar estimate the 3D motion points in a traffic scene.

CNA938 Rewind – With driverless ride-hailing soon becoming available in Singapore, experts like Research Assistant Prof Samuel Chng and taxi driver, Eddie, come together to discuss how autonomous vehicles could disrupt driving jobs, what they might cost and how they could change the way Singaporeans get around.

SUTD researchers have developed a control method that allows a robot that flies with one actuator anticipates its next movements. The approach was demonstrated on SAM, short for Samara-Seed Inspired Single-Actuator Monocoptor. This project was led by Professor Foong Shaohui.

A new theory-guided AI framework for managing random network access can cut the time needed to clear congested queues in half while drastically reducing both average latency and collision rates. This framework was developed by researchers from Beihang University and SUTD.

The D.A.R.E. Community pilot programme was jointly launched by SUTD and ITE in January this year. SUTD students mentored ITE students in the use of AI to turn creative ideas into working prototypes aimed at solving real-world problems. Teo En Ki, a second year CSD student who was a mentor in the pilot was quoted in the article.

Researchers introduced STAAT, a Spatiotemporal Association Anomaly Transformer built specifically for anomaly detection in IoT-generated multivariate time series. Data from iTrust’s Secure Water Treatment (SWaT) testbed was used to evaluate STAAT’s performance.