Research Features
Bridging light and electrons
A new ferroelectric memory device stores and retrieves data using both light and electricity, offering a compact and scalable solution to bridge electronic and photonic computing systems.
Where atoms are engineered into impact
Forging new frontiers in semiconductor materials, the AMAT–NUS Advanced Materials Corporate Lab enters a new phase featuring advanced facilities, deeper industry integration and a strong focus on talent development.
A smarter way to power artificial intelligence
A fully integrated compute-in-memory system pairs 2D memristors with silicon selectors to offer a practical, energy-efficient route for powering next-gen AI applications.
Shining a light on chip chatter
From lab concept to real-world integration, a multi-institutional collaboration produces a compact photonic modulator-memory device that turbocharges how data moves between computer chips — more efficiently, with far less energy.
The quest for Singapore’s technological future
In an era defined by rapid technological change, forward-looking research and strategic talent development are key to maintaining Singapore’s global leadership in semiconductor innovation.
A chip off the old block
A single transistor can mimic the neural and synaptic behaviours of the human brain, bringing biologically inspired computing closer to reality.
Lighting the path to faster, smarter AI
Bringing non-linearity into the light, a new photonic accelerator allows AI to compute and respond entirely in the optical domain.
Soft robots take on hard tasks
Soft, robust miniature robots powered by fluid kinetic energy can traverse tricky terrains at impressive speeds, offering a valuable new tool for search and rescue operations.
A robust robotic support system
Driven by a differential series elastic actuator, a novel back-support exoskeleton aids users during lifting tasks, easing strain without adding muscle activation to the back and legs.
Teaching soft robots self-awareness
Soft robots with human-like perception can anticipate sensory inputs, detect contact and adapt dynamically, paving the way for applications in autonomous exploration and precision-driven medical procedures.
Lean, mean flying machines
A fast-adaptive estimator for robust flight control draws from the best of both deep-learning techniques and conventional control algorithms to improve drone performance.
Helping robots find their way around the construction maze
By improving how unmanned ground vehicles see and navigate complex, cluttered construction sites, automation is set to transform tasks like site mapping and monitoring.