假新聞內容複雜 機器難代人分析

大數據分析是人工智能背後的核心技術。在現實生活中,人工智能從人類日常生活的數據中學習人類文化,從中進行模仿,達至「機器代人」的目標,例如從市民閱讀報章、雜誌的習慣,了解他們的生活方式、日常興趣、甚至其政治立場等,然後針對性地提供個人化的智能服務。

Date: 
Monday, May 24, 2021
mc_group: 
Commentary
Media: 
HKET Daily

學校創科教育 與大灣區欠銜接

創新及科技局近年努力推進創科,包括鼓勵政府部門多採用創科方案、推動再工業化、提升中、小學的STEM教育水平,投放更多基礎及應用資源去支持科研等。據悉政府於過去三年付出超過一千億港元,落實多個創科項目,目標之一是打造香港成為「國際創新及科技中心」,這已成為政府重點政策之一。然而,香港中、小學的STEM教育推廣,與大灣區的香港人才發展似乎互不銜接,若這情況未能盡早改善,香港年輕人未來在大灣區創業、就業的機會便會大打折扣。

Date: 
Monday, May 24, 2021
mc_group: 
Commentary
Media: 
Sing Tao Daily

中大研納米探針 監察柏金遜病防惡化

中大工程學院生物醫學工程學系教授邊黎明、醫學院生物醫學學院教授容永豪及副教授柯亞領導的研究團隊最近研發一種「多功能納米探針」,可用於監察柏金遜病病情,預防惡化。他們未來將着重改良探針的使用方法,並且負載更為有效的治療劑以達到治療神經退化性疾病的最佳效果,提高納米探針的臨牀適用性。

Date: 
Thursday, May 20, 2021
Media: 
MingPao Daily

中大研多功能納米探針 助及早檢測柏金遜症

柏金遜病是常見的老人病,患者會有震顫等症狀,但多難及早發現。中大工程學院及生物醫學學院近日共同研發1款多功能納米探針,能指示及抑制早期柏金遜病生物標誌物MMP3,有望測出早期柏金遜病,延緩病情惡化。研究結果已於美國化學學會《應用材料與界面》期刊發表。

Date: 
Thursday, May 20, 2021
Media: 
Sky Post

多功能納米探針 防柏金遜症惡化

中大研究團隊最近研發出一種多功能納米探針,可用來監察柏金遜病進展,有助預防病情進一步惡化。
 
柏金遜病是一種長者常見的神經退化性疾病,主要是由於腦內部分神經系統功能受損,不能製造多巴胺的神經傳導物質。
Date: 
Thursday, May 20, 2021
Media: 
Hong Kong Economic Times

FINTECH SEMINAR SERIES : Transparency in Artificial Intelligence

Date : Jun 8, 2021

Time : 5:30 pm - 6:30 pm

Event Details : https://cefar.cuhk.edu.hk/events

Speaker: John Richards, Distinguished Research Staff Member, Research, IBM US    

Venue: Live virtual class (Zoom)

Fee: Free Registration. A processing fee at HK$100 applies for proof of attendance

Registration Link:  https://cloud.itsc.cuhk.edu.hk/webform/view.php?id=13104939

Venue
https://cefar.cuhk.edu.hk/events
Date: 
Tuesday, June 8, 2021
Time
Tuesday, June 8, 2021 to 18:30
e_title: 
FINTECH SEMINAR SERIES : Transparency in Artificial Intelligence
Not Available
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CUHK Engineering Research Team Develops Novel Nanoprobes to Monitor Parkinson’s Disease and Possibly Slow Deterioration

Date: 
2021-05-19
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A collaborative research team led by Professor Liming Bian, Department of Biomedical Engineering, Faculty of Engineering, Professor Wing-Ho Yung and Professor Ya Ke, School of Biomedical Sciences (SBS), Faculty of Medicine at The Chinese University of Hong Kong (CUHK) has pioneered the development of novel nanoprobes that can monitor the progress of Parkinson’s disease (PD) and could be useful in treatment for this brain disorder. The results have been published recently in the ACS Applied Materials and Interfaces, an international journal published by the American Chemical Society.
 
PD is one of the major neurodegenerative disorders and mainly affects the elderly. It can be divided into the idiopathic type and those with secondary causes. Most cases are idiopathic, triggered by impaired functions of the nervous system in the brain, leading to the depletion of a neurotransmitter called dopamine. The PD symptoms of tremor, stiffness and sluggishness occur when there is not enough dopamine in the brain to transmit messages from nerve cells to the muscles. At this stage, there is still no unanimous conclusion on its clear cause.
 
Accumulating evidence has shown that large amounts of matrix metalloproteinases (MMPs) contribute to the pathogenesis of PD. Specifically, MMP3 triggers neuroinflammation in response to dopaminergic neuron apoptosis and causes PD symptoms. Researchers have found that the administration of MMP3 inhibitors can reduce inflammatory microglia activation and dopaminergic neuron death, indicating that MMP3 can be an effective early PD biomarker and target for clinical interventions. Professor Liming Bian believes that if a multifunctional nanoprobe is used to indicate and inhibit the abnormal activity of MMP3 in the brain, the symptoms of PD and other neurodegenerative diseases can be detected early, and the deterioration from the disease can be delayed in the early stage.
 
Development and application of the multifunctional nanoprobes
 
One of the major challenges in treating PD is to effectively detect and inhibit the early MMP3 activities to relieve the neural stress and inflammation responses. In early 2018, a PhD student Rui Li and a postdoctoral fellow Dr. Jinming Li from Professor Liming Bian’s laboratory jointly developed an enzyme responsive nanoprobe to detect the biomarkers in neurodegenerative diseases. It is described in full as an upconversion nanoparticles (UCNP)-peptide-aggregation-induced emission luminogen (AIEgen). In the next few years, the research team collaborated with Professor Wing-Ho Yung, Professor Ya Ke and Dr Yi Li to fabricate and optimise the UCNP-peptide-AIEgen nanoprobe tailoring it to monitor PD biomarker activities and test the effects of delivering therapeutic agents at the same time. After successful laboratory verification, Professor Yuk Wai Lee from the Prince of Wales Hospital joined the team to further validate the reporting efficiency of the MMP3-responsive nanoprobes in a mouse PD model. The team found that PD mouse brains injected with the UCNP-peptide-AIEgen nanoprobe exhibited a strong fluorescent signal under excitation, enabling the real-time detection of MMP3 activity for the first time in living animals and making that useful in monitoring cellular stress and inflammatory responses at early-stage PD. These results not only provide new tools to monitor PD progression but also open an opportunity to establish novel therapeutic strategies to treat PD and other neurodegenerative diseases.
 
“The research team will focus on improving the functions of the nanoprobe and loading more effective therapeutic agents to achieve the best result in the treatment of neurodegenerative diseases, and exploring its clinical applicability,” said Professor Liming Bian.
 
Professor Wing-Ho Yung said, “PD is just one of many neurodegenerative diseases that affect the brain. We hope this technology will also be able to be applied to other brain diseases.”
 
This work was supported by the National Natural Science Foundation of China, Health and Medical Research Fund, General Research Fund, HK Research Grants Council, the Chow Yuk Ho Technology Centre for Innovative Medicine and the Gerald Choa Neuroscience Centre, CUHK.
 

Professor Liming Bian, Department of Biomedical Engineering, Faculty of Engineering, CUHK (6th from left, back row) and his research team.

 

(From left) Professor Wing-Ho Yung, Dr Yi Li and Professor Ya Ke, School of Biomedical Sciences, Faculty of Medicine, CUHK

 

The design rationale of the UCNP-peptide-AIEgen nanoprobe for the detection and inhibition of biomarkers in PD models. Under the near-infrared detection laser, the reporting unit detects the inflammation in the deep brain by the MMP3-triggered fluorescence emission. Meanwhile, the nanoprobes deliver the therapeutic regents into the neuron cells to inhibit further neurodegeneration. The unique features of the nanoprobe platform provide new insights for the treatment of neurodegenerative diseases.

 

 

 

 

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Media Release

Reaching Towards 2D Memory: Is Magnetic Graphene and Spintronics the Key?

Recent research spurs the prospect of 2D layered materials having the potential to play a significant role in memory and data processing applications. Recently, more research has been working towards different dimensions for memory––specifically 2.5D high-bandwidth memory and 3D NAND. Aside from those two dimensions, 2D is also making waves with the concept of spintronics and graphene.

Date: 
Monday, May 17, 2021
Media: 
All About Circuits

CUHK Professor Raymond Yeung Earns the IEEE 2021 Richard W. Hamming Medal

Date: 
2021-05-12
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Professor YEUNG Wai-ho Raymond, Choh-Ming Li Professor of Information Engineering, and Co-Director of the Institute of Network Coding, The Chinese University of Hong Kong (CUHK), recently attended the virtual 2021 IEEE Vision, Innovation, and Challenges Summit (IEEE VIC Summit) and Honors Ceremony. Witnessed by top international engineers, entrepreneurs and innovators in the global technology industry, Professor Yeung received the “IEEE 2021 Richard W. Hamming Medal” for his exceptional contribution to network communication and pioneering development of the BATS code. He is the first Asian researcher to receive this award since its establishment in 1988.
 
The IEEE Awards Board citation says that his contributions “forever changed our understanding of network communication, impacting error-correction coding, information security, wireless communication, and data storage”.
 
“It is an incredible honour to receive this award. Network communication has become an integral part of our daily life and I am grateful to be part of the advancement and evolution of our global network. My team and I will continue to explore new wireless network protocols as well as to maximise the applications of BATS code in various aspects including the Internet of Things (IoT), space and satellite communications, and many others, for the benefit of society,” said Professor Yeung.
 
Professor Yeung is a world-renowned expert in information theory and co-founder of the field of network coding. His work on network coding provides the foundations of the field, which brings information theory, coding techniques, and networking systems together in an unprecedented way and influences generations of researchers.
 
Fundamental contributions to information theory and pioneering network coding and its applications
 
At the award ceremony, Professor Yeung conveyed his gratitude to his team, close collaborators, and students for their support, inspiration and being an integral part of his research life. “As a researcher, this journey is really an adventure, and I am very happy to be able to play a role in this exciting era of the Internet of Things.”
 
In the late 1990s, Professor Yeung proposed the concept of network coding that revolutionised network communication. By applying coding to data packets inside the network, more information can be transmitted at a higher rate. In practice, this means people can download data faster, watch video streaming with less delay, and communicate more securely on the Internet. Professor Yeung and his team have further developed and spearheaded the use of the BATS, a network coding technology that solves the longstanding problem of packet loss in wireless multi-hop communication. Currently, his team is working with the Sustainable Lantau Office of the Civil Engineering and Development Department to apply the technology in a pilot trial to provide Wi-Fi service for hikers at a section of hiking trail in Lantau which is not well covered by the cellular network.
 
Professor Yeung has also made foundational contributions to information theory. He introduced a geometrical framework for the entropy function in which he contemplated the existence of non-Shannon-type inequalities and discovered with his collaborator the first such inequality which is now known as the Zhang-Yeung inequality. This groundbreaking work proved the incompleteness of Shannon-type inequalities and opened a new frontier in information theory.
 
Professor Yeung has received numerous awards for his research contributions, including the 2018 ACM SIGMOBILE Test-of-Time Paper Award and the 2016 IEEE Eric E. Sumner Award. He is a Fellow of the Hong Kong Institution of Engineers, the Hong Kong Academy of Engineering Sciences, and IEEE. He holds 10 patents on BATS codes.
 
About IEEE Richard W. Hamming Medal
 
IEEE Medals are the highest awards presented by the Institute of Electrical and Electronics Engineers (IEEE), the world’s largest technical professional organisation. The IEEE Richard W. Hamming Medal, established in 1986, is named in honour of Dr. Richard W. Hamming, who had a central role in the development of computer and computing science, and whose many significant contributions in the area of information science include his error-correcting codes. It is awarded to an individual or team for exceptional contributions to information sciences, systems, and technology.
 
This article was orginally  published on CUHK Communications and Public Office website.

IEEE praises Professor Yeung for his remarkable contributions to wireless communication, information security, and many other areas of information technology.

Professor Yeung proposed the concept of network coding in 1990s. This concept has forever changed our understanding of network communication. By applying coding to data packets inside the network, information can be transmitted at a significantly higher rate.

Professor Raymond Yeung has been awarded the IEEE Richard W. Hamming Medal.

 

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Media Release

中大夥環電 促進港發展智慧城市 推兩專利技術 提升企業數據防護

中大工程學院領導的科研團隊與中大編碼有限公司(中大編碼)合作,昨共同宣布將其專利技術nEdge和nCloud解決方案推出市場,並由環球全域電訊(HGC環電)為中大編碼提供一站式電訊及信息和通訊技術(Information and Communication Technologies,簡稱ICT)管理服務。

Date: 
Tuesday, May 11, 2021
Media: 
HKET Daily

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