Can Li

Institution
University of Hong Kong

Country
Hong Kong

Field
Engineering

Li is a recipient of the 2023 Croucher Tak Wah Mak Innovation Award for his research exploring the limitations of digital computers in performing tasks accomplished by the human brain, including recognising faces, reasoning based on vague information, and learning from experience.

(Photo: University of Hong Kong)

AWARDS
  • 2023 Croucher Tak Wah Mak Innovation Award

Related articles

Beckman Coulter Acquires China’s Xitogen

Beckman Coulter's acquisition of Xitogen is expected to enhance its presence in Asia and enable it to respond to customers in the region.

AUD$1m Boost For UQ Plastics Technology

University of Queensland spin-off TenasiTech receives AUD$1 million to develop their plastic and rubber additive products.

A*STAR & LION To Develop New Anti-Microbial Products

LION Corporation seeks to leverage IMRE's multipurpose polymer technology for new consumer products.

3-D Matrix Licenses IBN’s Peptide Technology

Using IBN's proprietary self-assembling peptides, 3-D Matrix Asia will develop new medical products for orthopedic surgery.

Reduced Indoor Air Pollution With NUS-Developed Filters

Designed to work with existing fans, the AiRazor filtration system effectively removes small particles and volatile organic compounds from indoor air.

DNA Analyzer In Your Pocket

Analyse DNA sequences on the go with a new app which allows you to perform functions such as reverse complementation and translation.

Turning Pee Into Power

Scientists have demonstrated that human urine is a potent source of carbon catalysts, which could help power supercapacitors and batteries.

Boron Molecular To Take RAFT Large Scale

The licensing agreement between CSIRO and Boron Molecular aims to make RAFT polymers accessible and affordable, promoting the adoption of the technology.

World’s Most Sensitive Thermometer Uses Light

The light-based thermometer exploits a phenomenon known as the "whispering gallery" effect to measure temperature with a precision of 30 billionths of a degree.