Electrical Engineering Computer engineering

Researchers at The University of Osaka have developed a groundbreaking energy-efficient and high-precision measurement system leveraging the inherent similarity between waveforms generated by the same type of signal source. Unlike black-box approaches such as generative AI, the system is built on the explicit theoretical framework of compressed sensing. This innovative approach drastically reduces the amount of data required for accurate signal reproduction, leading to significant energy savings. Demonstrated with an electroencephalogram (EEG) measuring system, the technology achieved world-leading energy efficiency using only commercially available electronic components, consuming a mere 72μW. This breakthrough paves the way for long-term, battery-powered wearable devices and self-powered, battery-free IoT devices that can operate on minimal energy harvested from the environment, with broad applications in healthcare, disaster prevention, and environmental monitoring.

A new method for connecting neurons in neuromorphic wetware has been developed by researchers from Osaka University and Hokkaido University. The wetware comprises conductive polymer wires grown in a three-dimensional configuration, done by applying square-wave voltage to electrodes submerged in a precursor solution. The voltage can modify wire conductance, allowing the network to be trained. This fabricated network is able to perform unsupervised Hebbian learning and spike-based learning.

A team of NUS researchers have come up with the pH Watch, an ‘add-on’ to a wearable health monitoring gadget that can tell users about the condition of their health from their sweat pH.

Research groups from Tohoku University and Purdue University - which included Professor Hideo Ohno (the current president of Tohoku University) -jointly developed an unconventional spintronics device harnessing thermal fluctuations and showed a proof-of-concept for probabilistic computing.

Professor Jae Eun Jang’s team developed electronic skin technology for robots or electronic devices to feel pain through sense of touch. Expected to be applied in humanoid that needs 5 human senses and patients wearing prosthetic hands.

An international and multidisciplinary research team led by Prof. Charles NG Wang-Wai will deliver an extreme weather and landslide warning system, which will increase the forecast lead time of heavy rainfall from three to six hours, giving the general public and responders more time to prepare for potential disasters.

Research under the three-year multi-million-dollar collaboration is expected to significantly enhance the efficiency, privacy protection and security of blockchain technologies for standing against attacks from powerful quantum-computing.

The IoT Asia 2018 conference has been designed to converge perspectives and learnings from key players in the industry, with focus on Smart Cities and Industrial IoT.

Seamless Thailand conference to address essential trends transforming payments, retail and e-commerce industries in Thailand.

A system that identifies malicious patterns in network traffic could help create a more secure internet.

To reduce accidents caused by fatigue driving, HKBU Computer Science scholar Professor Cheung Yiu-ming and his team have developed a system that detects drowsy drivers and alerts them simply using a generic smartphone.

A research team, affiliated with South Korea's Ulsan National Institute of Science and Technology (UNIST) has received an Honorable Mention Award at CHI 2017, the prestigious ACM conference on computer-human interaction.