Dr. Benjamin C.K. Tee is appointed President’s Assistant Professor in Materials Science and Engineering Department at the National University of Singapore. His leads his research group: Sensors.AI to develop technologies at the cutting edge of materials science, mechanics, electronics and biology, with a focus on sensitive electronic materials that has tremendous potential to advance global healthcare technologies in an increasingly Artificial Intelligence (AI) era. He was awarded the National Research Foundation Fellowship in 2017. He obtained his PhD at Stanford University, and was a Singapore-Stanford Biodesign Global Innovation Postdoctoral Fellow in 2014. He is an MIT TR35 Innovator (Global) in 2015 and listed as World Economic Forum’s Young Scientist of the year in 2019. He was featured by CNN International as one of their Tomorrow’s Hero series, by Channel News Asia International in the ASEAN’s Next Generation Leaders documentary and by BBC World Service Radio and National Geographic TV. He can be found on www.benjamintee.com
Materials and Systems for Scalable & Sustainable Intelligent Machines
We live in an increasingly hyper-connected environment where humans, smart devices and robots live in synergy together. Flexible, wearable sensors and systems are accelerating this trend by generating ever greater amounts of data for AI algorithms to process and understand. Exciting developments in bio-integrable and neuro-integrable sensory systems will further augment human abilities and aid in applications as health diagnostics, surgery and predictive analytics. We believe a multi-disciplinary approach especially in materials design and processing is essential to achieve near or even superhuman capabilities in robotics. In the area of manipulation tasks, robots have yet to match human abilities despite progress in various sensing and actuator systems. We apply a neuromorphic approach for sensory systems as a potential pathway towards greater tactile and machine intelligence. I will discuss our approach and recent progress in developing new soft materials systems and bio-mimetic approaches for robotic intelligence. Fusion of sensing modalities such as neuromorphic vision and touch will also facilitate robotic learning towards greater autonomy, especially as remote work, and “digitial twins” gains critical importance in pandemics and the future of work.
Talk: Materials and Systems for Scalable & Sustainable Intelligent Machines