機器學習算法 使微納機械人更「聰明」

微納機械人在臨牀應用中有龐大潛力。人類的大腦是承載智慧的器官；同樣地，若能夠賦予微納機械人「智慧」，將能令它在醫療應用上開闢新領域。我們合作開展了探索在微納領域實現「具身智能」（註1）的綜述工作。
 
Date: 
Friday, August 2, 2024
Media: 
Ming Pao
Media LInk: 
https://shorturl.at/bcsKc

Professor Raymond Tong and his teams’ innovations win 6 awards at the Silicon Valley International Inventions Festival 2024

Date: 
2024-08-02
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Professor Raymond Tong Kai-Yu from Department of Biomedical Engineering (BME) and his research teams won six awards at the Silicon Valley International Inventions Festival (SVIIF) 2024, including three special prizes, which were Prize of the United Inventors Association of America (UIA), Prize of the China Association of Inventions (CAI) and Prize of the Korea Invention Promotion Association (KIPA), and three Gold Medals.

The three winning inventions were XoMuscle (Bionic Artificial Muscle), Hope4Care (Markerless AR training system), and Intelligent Nighttime Brace with Smart Padding. The awarded projects are examples of success in knowledge transfer, translating research and innovation into tangible benefits and outcomes.

The SVIIF brings together innovators from 40 countries and regions to showcase interesting inventions in the US. The festival is under the patronage of the City of Santa Clara, the International Federation of Inventors’ Associations (IFIA) and the World Intellectual Property Organization (WIPO). SVIIF was created to publicise state-of-the-art inventions from around the world and provide a unique opportunity for inventors to receive not only high-ranking international awards for their inventions but also to cultivate the American market in the heart of inventions, Silicon Valley.

Awarded BME projects at the Silicon Valley International Inventions Festival 2024

 

 

Three of the winning inventions have also received special prizes, including the Prize of the International Federation of Inventors’ Associations (IFIA), Prize of the United Inventors Association of America (UIA) and Prize of the China Association of Inventions (CAI)

CUHK BME team

Professor Tong at the booth

 

 

Filter: Dept: 
Faculty
BME
Media Release
Name: 
XUE Yang
Title ( post ): 
Research Assistant Professor
Department: 
Biomedical Engineering
email: 
yangxue [at] cuhk.edu.hk
website: 
https://www.bme.cuhk.edu.hk/new/xueyang.php
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Class: 
faculty_member
Chinese Name: 
薛揚
glossary_index: 
X
Name: 
LI Jizhou
Title ( post ): 
Vice-Chancellor Assistant Professor
Department: 
Electronic Engineering
email: 
jzli [at] ee.cuhk.edu.hk
phone: 
3943 4346
website: 
https://www.ee.cuhk.edu.hk/en-gb/people/academic-staff/professors/prof-li-jizhou
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Class: 
faculty_member
glossary_index: 
L
Name: 
XU Jianbin
Title ( post ): 
Associate Dean
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Class: 
deanery
Subtitle ( post ): 
Mainland Affairs

Prof. Zhou Renjie and his team win Prestigious Best Paper Award in ICCP 2024

Date: 
2024-07-31
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Prof. Zhou Renjie and his team have been awarded the IEEE international conference on computational photography (ICCP) Best Paper Award for 2024 for the paper titled “High-performance real-world optical computing trained by in situ gradient-based model-free optimization”. The authors are PhD student Mr. Zhao Guangyuan, former HKPFS awardee Dr. Shu Xin and Prof. Zhou Renjie, all from the Department of Biomedical Engineering.

ICCP is a well-recognized conference on computational photography, and one best paper award is selected to recognize its outstanding research contributions. Mr. Zhao and Dr. Shu equally contributed to this work, under the supervision of Prof. Zhou. Their paper was presented orally at the ICCP 2024 in EPFL, Switzerland, in July 2024. The paper is simultaneously accepted to the prestigious AI journal IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). Other teams participating in this conference were from Massachusetts Institute of Technology, Stanford University, Carnegie Mellon University, ETH, EPFL, Technion, etc. 

International conference on computational photography (ICCP)  Best Paper Award 2024

 

 

Filter: Dept: 
Faculty
BME
Media Release
Name: 
REN Wei
Title ( post ): 
Assistant Dean
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Class: 
deanery
Subtitle ( post ): 
Research
Name: 
LI Lingfei
Title ( post ): 
Assistant Dean
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Class: 
deanery
Subtitle ( post ): 
Education
Name: 
HUANG Jie
Title ( post ): 
Associate Dean
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Class: 
deanery
Subtitle ( post ): 
Research
Name: 
CHAN Chun Kit Calvin
Title ( post ): 
Associate Dean
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Class: 
deanery
Subtitle ( post ): 
Education

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