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Historical Overview
The long and now rapidly flowing Artificial Intelligence (AI) river which courses through the global technoscape has several milestones worth noting, especially as they impact the current speed and course of this river. And it is both the speed and direction to which this paper intends to focus. As most readers know, AI originated in the early 1950s, with the work of Frank Rosenblatt [1] and his concept of the perceptron, or neural network to mimic the brain. This concept, in turn, was extended by Geoffrey Hinton in the 1980s [2] to that of the multi-layered neural network, which eventuated in the first self-driving car – built by one Dean Pomerleau.[3]. A decade later Yan Lecun [4] extended the system to recognise handwritten digits. From there the river slowed somewhat until 2006 [5] when superfast chips and massive datasets unleashed the power of Hinton’s algorithms and AI began to more easily identify images, recognize speech and support language translation. Some six decades later, in 2012, machine learning and neural nets became front page news when Hinton [6] was able to demonstrate on the 10 million image data set of ImageNet a reduction in image classification errors by 20%. This has led to substantive adoption of AI in industry and finance, not to mention medical education.
Schools of Thought
Currently discussion surrounding the nature and function of AI is replete with fierce evangelists on both sides of what is regarded by many as a two-edged sword. One side sees AI as having the potential to enhance human capacity and transform the way we live, work and experience life on the planet. This includes AI researchers like Geoffrey Hinton, Yoshua Bengio, Yan Lecun, Andrew Ng, Chris Bishop, Max Tegmark and Ray Kurzweill [7]. The other side consists of those who warn of the very imminent danger of AI, with respect to loss of individual freedom and control, as well as the destruction of many jobs and livelihoods within the global economy. Included in this group are the likes of Elon Musk, Stuart Russell, Martin Ford[8], Nick Bostrom, Sam Harris, Peter Haas and Yuval Harari[9]. The core concern of the latter group is the worry that we are building AI systems about which we make incorrect assumptions re: the capabilities and intelligence of AI – which in narrow fields is already light years ahead of humans, i.e., computation, reading ability, pattern recognition, to name a few; and that without proper ethical guidelines, principles and processes, we may in fact be building something which could lead to our extermination, and/ or replace the many practical advantages of democracy, because, ironically, they do what we ask them to do to the detriment of humanity. As Norbert Wiener presaged in 1960: ”put a purpose into a machine, better be absolutely certain the purpose is what you desire.”[10]
Current Capabilities and Behaviours of AI
While we accept that Advanced General Intelligence (AGI) may remain a distinct and distant possibility, we also argue that it is important to highlight and keep in view what the current behaviors and capabilities of Narrow AI are, while working towards both understanding and controlling their evolution and application, especially within the Health Services[11-13] and the Medical Education sectors. Building on the general approaches and successes of Machine Learning, i.e., supervised, unsupervised and reinforcement learning, it is increasingly accepted in the Health Sciences that the applications gaining most traction and funding, both for ongoing research, development and application are in four specific areas: (i) recommending what one should buy online, (ii) spotting spam and detecting credit card fraud, (iii) recognizing who and what is in a photo, and (iv) interacting with virtual assistants like Alexa and Siri. Increasingly these AI behaviors are spilling over into medicine in a number of areas. For example, the photo identification in images and video is leading to speedier identification of pathologies and supporting assistive prediction. Another example is its application in biometrics, enabling real time tracking for diagnosis and management of chronic diseases. Perhaps more interesting is that is being used in areas where doctor shortages exist and patient needs are growing. Yet another application is through the use of elder care robots that can detect and interpret signals from the brains of the elderly to support both patient and caregiver.
There is compelling data to support the idea that the recent advances in both deep learning, i.e., unsupervised systems, could have significant impact on how our social, political and economic narratives evolve. Increasingly, more questions are being raised with respect to the impact upon and control over systems and services formally managed by humans. The arguments build around the rapid advances in Advanced General Intelligence (AGI), and the attendant requirements for the training and monitoring of AI. These significant evolutionary improvements in machine and deep learning techniques, as well as the inability of developers to explain how and why AI is generating its own operational biases, suggest that adoption of AI reflects a clearer understanding of principles and processes guiding such research directions.
Medical Education
Medical Education is education relevant to human health among any type of learner, including health professionals, students in the health professions, and patients.
With respect to Medical Education and our own research in this area, Natural Artificial Intelligence (NAI) enables a number of innovative and paradigm shifting experiences. For the first time we can now explore the extent to which an AI tutor can support learning and teaching. We are now looking at being able to program AI to support personalized and adaptive learning for each and every learner. Specifically, within a fully digitized curriculum we are examining the extent to which AI can now dynamically generate learner profiles, based on extensive knowledge of student prior learning history, current learning activities within accessed learning resources, knowledge gained through quizzes and assessment results – including Work Placed Based Assessments. With this information we are then able to explore the degree to which AI can interact with learners to provide targeted content, meaningful feedback and dynamic visualization of curriculum progress and associated mastery of specific and general competency associated with becoming a medical practitioner. Of particular interest to us is the degree to which the current affordances of AI can then be extended to support the application of such tracked performance to digital learning such as Virtual Patients[14]
Conclusion
The paper highlighted key directions research and implementation of AI has taken to date in health services and medical education. It also underlined the degree to which current supervised and unsupervised learning on the part of AI agents may impact medical systems, services and training, and suggested strongly that moral and ethical responsibilities consonant with generally accepted medical values and principles need be evident before AI gains traction in medical decision making, an area that directly impacts quality of care and patient safety.
References
- Rosenblatt, F., The perceptron: a probabilistic model for information storage and organization in the brain. Psychological review, 1958. 65(6): p. 386.
- Rumelhart, D.E., G.E. Hinton, and R.J. Williams, Learning representations by back-propagating errors. nature, 1986. 323(6088): p. 533.
- Pomerleau, D.A., ALVINN: an autonomous land vehicle in a neural network, in Advances in neural information processing systems 1, S.T. David, Editor. 1989, Morgan Kaufmann Publishers Inc. p. 305-313.
- LeCun, Y., et al., Backpropagation applied to handwritten zip code recognition. Neural computation, 1989. 1(4): p. 541-551.
- Hinton, G.E., S. Osindero, and Y.-W. Teh, A Fast Learning Algorithm for Deep Belief Nets. Neural Computation, 2006. 18(7): p. 1527-1554.
- Krizhevsky, A., I. Sutskever, and G.E. Hinton. Imagenet classification with deep convolutional neural networks. in Advances in neural information processing systems. 2012.
- Kurzweil, R., The Singularity is near: When Humans Transcend Biology. 2005, New York: : Viking.
- Ford, M., Rise of the Robots: Technology and the Threat of a Jobless Future. . 2016, New York, NY, USA: Basic Books Inc.
- Harari, Y.N., Homo Deus: A Brief History of Tomorrow. 2016, London Harvill Secker.
- Wiener, N., Some Moral and Technical Consequences of Automation. Science, 1960. 131(3410): p. 1355-1358.
- Jiang F, J.Y., Zhi H, et al Artificial intelligence in healthcare: past, present and future Stroke and Vascular Neurology 2017.
- Wahl B, C.-G.A., Germann S, et al Artificial intelligence (AI) and global health: how can AI contribute to health in resource-poor settings? BMJ Global Health 2018(3:e000798).
- Gašević, D., et al., Internet High Educ, 2016. 28(null): p. 68.
- Kononowicz AA, Z.N., Edelbring S, Corral J, Hege I, Virtual patients–what are we talking about? A framework to classify the meanings of the term in healthcare education. BMC Med Educ, 2015(Feb 1;15:11).
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In a remarkable leap forward in the field of neuroscience, researchers at the Indian Institute of Technology, Guwahati (IIT Guwahati) have introduced a groundbreaking algorithm known as the Unique Brain Network Identification Number (UBNIN). This innovative algorithm is poised to revolutionise the analysis of brain connectivity patterns, offering profound insights into both healthy brain function and neurological disorders such as Parkinson’s disease (PD).
The human brain, with its intricate network of neural connections, is a marvel of complexity. Each individual possesses a unique pattern of brain connectivity, akin to a fingerprint of the mind. Recognising the significance of these individualised brain networks, the researchers at IIT Guwahati set out to develop a method capable of decoding and quantifying these intricate patterns.
The UBNIN algorithm represents a paradigm shift in how we understand and analyse brain connectivity. Drawing upon data from structural MRI scans, the algorithm constructs a network model of the brain, with each region of the brain represented as a node. These nodes are interconnected by edges, reflecting the strength of connectivity between different brain regions.
What sets UBNIN apart is its ability to distil this complex network into a single numerical identifier. This unique identifier, akin to a digital signature for the brain, encapsulates the individualised connectivity patterns of each person. By quantifying these patterns into numerical values, UBNIN offers a powerful tool for understanding the structural organisation of the brain.
The implications of UBNIN are far-reaching. One potential application lies in the realm of brainprinting, where individual brain signatures could be used for identification purposes. Much like a fingerprint uniquely identifies an individual, UBNIN could serve as a digital identifier for the brain, with applications in personalised medicine, biometrics, and cognitive neuroscience.
Moreover, UBNIN holds promise as a biomarker for neurological disorders such as Parkinson’s disease. Parkinson’s is a progressive neurodegenerative disorder characterised by the loss of dopaminergic neurons in the brain. Early detection of Parkinson’s is crucial for initiating timely interventions and improving patient outcomes. By analysing changes in UBNIN values over time, researchers may be able to identify subtle alterations in brain connectivity associated with the onset and progression of Parkinson’s disease.
To validate the utility of UBNIN as a biomarker for Parkinson’s disease, researchers conducted a comprehensive study involving structural MRI scans from both PD patients and healthy individuals. The results were promising, with UBNIN values exhibiting distinct patterns in PD patients compared to healthy controls. This suggests that UBNIN has the potential to serve as a sensitive and specific biomarker for Parkinson’s disease, offering new avenues for early diagnosis and disease monitoring.
Furthermore, the researchers explored the impact of age on brain connectivity patterns. Aging is associated with changes in brain structure and function, which may contribute to the development of neurological disorders. By analysing structural MRI data from individuals across different age groups, the researchers found that brain connectivity patterns indeed change with age. Specifically, they observed a decrease in the clustering coefficient—a measure of network connectivity—with increasing age. These findings provide valuable insights into the dynamic nature of brain plasticity and aging.
Dr. Cota Navin Gupta, Assistant Professor at the Neural Engineering Lab, Department of Biosciences and Bioengineering, IIT Guwahati, commented on the significance of these findings. “UBNIN offers a unique window into the structural organisation of the brain,” he remarked. “By quantifying individualised brain connectivity patterns, UBNIN has the potential to transform our understanding of brain function and dysfunction.”
Looking ahead, the researchers envision further applications of UBNIN in diverse fields, ranging from personalised medicine to cognitive neuroscience. By harnessing the power of UBNIN, researchers may unlock the mysteries of the human brain, paving the way for new insights into neurological disorders and brain health.
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Prime Minister Pham Minh Chinh has called upon the youth to take the lead in propelling Vietnam’s digital transformation, emphasising their crucial role in shaping the nation’s future amidst the burgeoning digital economy. The Prime Minister made these remarks during a dialogue held in Hanoi on March 26, where he engaged with 300 outstanding young individuals from various regions of the country.
With the digital economy projected to contribute 30% to the gross domestic product (GDP) by 2030, PM Chinh underscored the urgency for Vietnam to embrace digitalisation as an indispensable global trend. He highlighted digital transformation as a cornerstone alongside the green economy, circular economy, sharing economy, and intellectual economy, essential for realising the nation’s development objectives of transitioning into a modern, upper-middle-income country by 2030 and achieving developed, high-income status by 2045.
In his address, PM Chinh urged the youth to champion digitalisation by raising public awareness, advocating for policy reforms, driving administrative modernisation through digital technologies, and advancing research and development efforts in the digital domain. Emphasising their role as pioneers, he expressed confidence in the youth’s ability to contribute, innovate, integrate into society, and pursue personal growth.
Moreover, PM Chinh called upon the youth to collaborate with the government in establishing a digital government, digital economy, digital society, and nurturing digital citisenship. This collaborative approach is deemed essential for harnessing the full potential of digital technologies to address societal challenges and drive inclusive growth.
Responding to the Prime Minister’s call, the youth presented recommendations to the government, emphasising the need to refine the legal framework governing digital platforms and establish effective communication channels to engage citisens in the digital transformation process. They stressed the importance of inclusivity and transparency in policymaking to ensure the successful implementation of digital initiatives.
During the dialogue, PM Chinh addressed queries from the youth regarding data protection, cybersecurity measures, integration of public services with the national population database, and strategies to preserve cultural identity in the digital age. Acknowledging these concerns, the Prime Minister reaffirmed the government’s commitment to safeguarding data privacy, enhancing cybersecurity, and promoting cultural heritage preservation in the digital era.
Furthermore, PM Chinh instructed relevant ministries, authorities, and localities to expedite the implementation of the National Digital Transformation Programme, refine existing mechanisms and policies, and create an enabling environment for youth-led initiatives. This concerted effort aims to foster innovation, entrepreneurship, and digital literacy among the younger generation, thereby ensuring their active participation in shaping Vietnam’s digital future.
The dialogue served as a platform for meaningful exchanges between the government and the youth, highlighting the importance of collaborative efforts in driving Vietnam’s digital transformation agenda. With the youth at the forefront, Vietnam is poised to harness the opportunities offered by digital technologies to achieve sustainable development and prosperity for all.
As reported by openGov Asia, Vietnam is undergoing a digital revolution, characterised by concerted endeavours to advance the country’s digital transformation. With aspirations to attain high-income status by 2045, Vietnam’s digital technology sector focuses on mastering technology, fostering innovation, and developing domestic manufacturing capacities.
In this context, inclusivity and collaboration are essential, serving as key drivers to unleash the transformative power of technology and foster economic expansion, ensuring broad societal participation and contribution to the nation’s advancement.
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Artificial Intelligence (AI) stands at the forefront of technological innovation, promising transformative solutions to complex challenges across various domains. Recognising its potential to revolutionise industries and improve societal well-being, the National University of Singapore (NUS) has inaugurated the NUS AI Institute (NAII). Led by Professor Mohan Kankanhalli, NAII aims to accelerate AI research and its practical applications, fostering collaboration, innovation, and societal impact.
In an era marked by rapid technological advancements, AI has emerged as a powerful tool with the capacity to reshape diverse sectors, ranging from healthcare to finance, education, logistics, and beyond. The establishment of NAII underscores NUS’s commitment to harnessing AI for the greater good, addressing critical issues facing Singapore and the global community.
At the core of NAII’s mission is the advancement of fundamental AI research, aimed at pushing the boundaries of AI capabilities and exploring novel applications across various domains. Through foundational research initiatives, scientists at NAII will tackle complex AI problems, spanning hardware and software systems, AI theory, responsible AI, reasoning AI, and resource-efficient AI. By delving into these areas, the institute seeks to develop cutting-edge AI technologies that address real-world challenges and drive innovation.
Moreover, NAII will prioritise research into the ethical and societal implications of AI, aiming to develop robust governance frameworks that ensure responsible AI development and deployment. This includes examining issues related to transparency, accountability, and ethical decision-making in AI systems. By fostering dialogue and research on AI ethics and governance, NAII aims to guide the responsible use of AI technology and mitigate potential risks.
In addition to foundational research, NAII will spearhead applied research initiatives, focusing on developing AI-driven solutions for specific application domains. Collaborating with experts from diverse fields, including healthcare, logistics, manufacturing, finance, urban sustainability, and education, the institute will tackle pressing challenges and explore opportunities for AI-driven innovation. From optimising supply chains to improving healthcare outcomes and enhancing urban infrastructure, NAII’s applied research efforts aim to deliver tangible benefits to society.
Furthermore, NAII will serve as a hub for AI talent development, providing comprehensive education and training programs for students, professionals, and policymakers. By offering hands-on learning experiences and internships, the institute seeks to nurture the next generation of AI leaders and entrepreneurs, equipping them with the skills and knowledge needed to drive innovation in AI.
To support its research and educational endeavours, NUS has allocated significant resources to NAII, including external research grants and institutional funding. Moreover, the institute will collaborate closely with government agencies and industry partners to amplify its impact and drive innovation. Strategic partnerships with leading companies such as IBM and Google Cloud will enable NAII to leverage industry expertise and resources, accelerating the translation of research outcomes into real-world applications.
In alignment with Singapore’s Research, Innovation, and Enterprise (RIE) strategy, NAII aims to contribute to the nation’s AI ecosystem by fostering collaboration, innovation, and talent development. By positioning NUS as a global leader in AI research and application, the institute seeks to drive positive societal change and economic growth.
The establishment of NAII represents a significant milestone in NUS’s journey towards harnessing the power of AI for societal benefit. Through cutting-edge research, education, and collaboration, the institute aims to unlock the full potential of AI and pave the way for a more innovative, sustainable, and inclusive future. With its interdisciplinary approach and commitment to excellence, NAII is poised to make a lasting impact on Singapore and the global AI landscape.
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The Vietnam Posts and Telecommunications Group (VNPT) has reached a significant milestone with its artificial intelligence (AI) platform, VNPT eKYC, logging over 1 billion user authentication requests. This accomplishment solidifies VNPT’s position as a pioneer in electronic identification and verification solutions within Vietnam.
Since its inception, VNPT eKYC has been at the forefront of electronic Know Your Customer (eKYC) services for over five years, serving a diverse range of clients including banks, financial institutions, telecommunications companies, and e-commerce entities. With over 100 organisations utilising its services, VNPT eKYC has facilitated electronic identification for more than 40 million individuals across the country.
On average, the VNPT eKYC system processes an impressive 600,000 requests daily, with peak days witnessing over a million requests being handled seamlessly. This demonstrates the platform’s robustness and reliability in managing high volumes of authentication transactions efficiently.
The significance of VNPT eKYC extends beyond its technological capabilities, particularly in the context of evolving regulatory requirements. The State Bank of Vietnam’s decision mandating biometric authentication for transactions exceeding 10 million VND (approximately 416 USD) and other significant transactions from July 1, 2024, underscores the critical role of advanced authentication solutions like VNPT eKYC in ensuring compliance and security in financial transactions.
Moreover, the platform’s success highlights the increasing importance of domestically developed solutions in the banking and financial sector. Domestic solutions such as VNPT eKYC offer several advantages, including rapid implementation, cost-effectiveness, adherence to global technology standards, scalability, and high readiness to meet evolving regulatory requirements.
Central to the effectiveness of VNPT eKYC is its advanced AI models, which enable the verification of facial biometric data with an impressive accuracy rate of up to 99.99%. This high level of accuracy not only enhances the security of authentication processes but also contributes to building trust and confidence among users and regulatory authorities.
As Vietnam’s digital economy continues to grow and evolve, the role of advanced authentication and verification solutions like VNPT eKYC becomes increasingly indispensable. Beyond facilitating seamless and secure electronic transactions, these solutions contribute to enhancing the overall digital infrastructure and ecosystem of the country, paving the way for further innovation and economic growth.
Looking ahead, VNPT remains committed to advancing its AI platform and expanding its capabilities to meet the evolving needs of its clients and the regulatory landscape. With a strong focus on innovation, reliability, and security, VNPT eKYC is poised to play a pivotal role in shaping the future of electronic identification and verification in Vietnam’s dynamic digital economy.
VNPT’s achievement of logging over 1 billion authentication requests with its AI platform, VNPT eKYC, marks a significant milestone in Vietnam’s journey towards digital transformation.
Amid a swiftly changing global landscape, Vietnam emerges as a frontrunner in a digital revolution, strategically positioned to harness technology’s transformative power for economic progress and societal development.
It is embracing its digital transformation journey, highlighting collaborative efforts to drive the nation’s digital transformation. The nation’s digital technology industry aims to propel Vietnam towards high-income status by 2045 through technology mastery, innovation, and indigenous manufacturing capabilities.
Moreover, the nation is working to harmonise its regulations, streamline laws, and promote consistency in its legal framework to foster a more favourable and appealing cyber environment.
As the country continues to embrace technology-driven solutions to address emerging challenges, VNPT eKYC stands as a testament to the potential of domestic innovation in driving progress and excellence in the digital era.
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Mudik is a tradition of returning to one’s hometown that is widely practised by the Indonesian community, especially when Eid al-Fitr celebrations approach. This tradition involves a massive population movement from big cities to their origin areas or hometowns to celebrate the holiday with family and relatives.
The phenomenon of mudik also shows the importance of family values and togetherness in Indonesian culture. It becomes a moment to reconnect social and cultural ties among family members who might have been separated by distance for various reasons, such as work or education.
The Indonesian government often takes special measures to accommodate the travel surge during the mudik period, such as increasing public transportation capacity, providing emergency health services on the mudik routes, and maintaining and repairing road infrastructure.
This year, as a State-Owned Enterprise, the cellular operator Telkomsel provides 4G networks on 14 mudik ships operated by the Indonesian National Shipping Company (Pelni).
Over the years, mudik travellers choosing to travel by sea have faced significant obstacles related to internet access. This condition has left them disconnected from the outside world. At the same time, in the middle of the sea, thus unable to access up-to-date information, communicate with family, or even enjoy entertainment.
“With this latest development, we can provide high-quality services to our customers, ensuring that they remain connected even while in the middle of a sea journey,” said Saki Bramono, Telkomsel’s Vice Director of Corporate Communication and Social Responsibility.
Further, Telkomsel’s 4G service has now successfully reached as many as 1,100 shipping routes served by 14 ships and 83 ports across Indonesia. This innovation results from a strategic collaboration with Telkomsat, a Telkom subsidiary specialising in satellite internet services. Through this collaboration, Telkomsel and Telkomsat present a strong and stable 4G LTE signal on ships, allowing passengers to stay connected to the internet during their mudik journey.
Telkomsat uses the Non-Geostationary Orbit (NGSO) Landing Rights to ensure broad and reliable satellite internet coverage. Saki stated that the initiative to provide 4G internet services on ships, chosen by the community for mudik, is the first time Telkomsel has implemented satellite internet technology. This move not only revolutionises the sailing experience for mudik travellers by sea by ensuring smooth and continuous communication access but also marks a new chapter in Telkomsel’s efforts to overcome connectivity challenges in Indonesia, especially in hard-to-reach locations like the middle of the sea.
To improve service quality and customer experience during the crucial mudik Lebaran period, Telkomsel focuses on upgrading and optimising telecommunications networks and proactively expands and strengthens its network infrastructure. As part of these efforts, Telkomsel strategically increased the 4G network capacity at 70 existing Base Transceiver Stations (BTS) and took a significant step by building 325 new 4G BTS.
These measures ensure that customers enjoy smooth connectivity and high-quality communication in urban areas and mudik routes that often cross areas with limited telecommunications access.
Telkomsel estimates a 15.22% increase in internet traffic during the Ramadan and Eid al-Fitr 2024 period compared to regular days. Of the total increase in internet traffic, the cellular operator estimates the highest increase comes from the areas of Java, Bali, and Nusa Tenggara, popular mudik destinations, at 26.25%.
The second highest increase is estimated from Sumatra, at 16.99%. An increase in internet traffic is also expected in Papua, Maluku, Sulawesi, and Kalimantan by 13.11%. Meanwhile, the increase in internet traffic in the Jakarta, Bogor, Depok, Tangerang, Bekasi, and West Java areas is estimated to reach 4.28%.
Telkomsel has prepared a customer service team that works tirelessly, ready to serve customers 24 hours a day, seven days a week. Customers can easily access this service through various channels, including social media, customer service calls, the MyTelkomsel mobile app, and a virtual assistant named Veronika. Customers can also visit GraPARI outlets spread across various locations for face-to-face services.
These comprehensive measures affirm Telkomsel’s commitment to providing high-quality and reliable telecommunications services, especially during important moments like the mudik Lebaran, where smooth and fast communication is critical.
With the improvement of network infrastructure and strong customer service support, Telkomsel strives to ensure that every customer can connect with family and loved ones without obstacles, making their mudik journey safe and enjoyable.
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Da Nang, a central city in Vietnam, is gearing up to bolster its semiconductor industry with a targeted focus on human resource development. The Vietnam–Korea University of Information and Communication Technology (VKU) recently launched a comprehensive programme aimed at training professionals in integrated circuit (IC) design.
The initiative underscores the city’s commitment to advancing its semiconductor sector. In 2024, Da Nang will concentrate on cultivating a pool of qualified teaching staff through collaborative efforts with the Viet Nam-Korea Information Technology (IT) and Communications University, the Institute of Information Technology under the Viet Nam National University – Ha Noi, and the Da Nang Semiconductor and Artificial Intelligence Centre for Research and Training (DSAC). Support from Synopsys Vietnam Company will further bolster these endeavours.
The training programme, spanning six months, comprises both theoretical learning and project-based training. It encompasses four modules covering Very-large-scale integration (VLSI) Design, SystemVerilog/Verilog/Very High-Speed Integrated Circuit Hardware Description Language, basic digital integrated circuits, and basic analog circuit design.
The inaugural training course for lecturers will host 25 participants selected from prestigious institutions including the Viet Nam-Korea Information Technology (IT) and Communications University, Da Nang University of Science and Technology, University of Technical Education, Duy Tan University, and FPT University. A significant highlight of the programme is the access granted to lecturers to Synopsys’ extensive library and teaching materials, enabling them to develop practical IC design curricula upon completion.
Huynh Cong Phap, Principal of VKU, emphasised the programme’s objective of equipping students with practical IC design skills to facilitate training deployment at universities in Da Nang. Additionally, the university plans to offer short-term training courses in semiconductor circuit design for junior and senior students pursuing majors such as computer engineering, technology, embedded systems and IoT, and technology information.
Speaking at the event, Ho Ky Minh, Standing Vice Chairman of the municipal People’s Committee, hailed the programme as a significant stride in the city’s strategy for high-quality human resource development. He commended the collaborative efforts between DSAC, VKU, Synopsys Group, and the Information Technology Institute under the Vietnam National University in swiftly launching the city’s inaugural IC circuit design instructor training course.
In line with the city’s ambitions, Ho Ky Minh, the Standing Vice Chairman of the People’s Committee of Da Nang, welcomed Susan Burns, the US Consul General in Ho Chi Minh City, expressing his aspirations for enhanced collaboration with the United States within the semiconductor industry.
Susan Burns lauded the programme as a testament to the robust cooperation between government bodies, private enterprises, and universities in nurturing high-tech talent in Vietnam. This collaboration aims to fortify Vietnam’s position in the global semiconductor supply chain. The United States acknowledges Vietnam’s pivotal role in fostering flexible semiconductor supply chains and extends strong support for the industry’s development in the country.
In tandem with the programme launch, the university unveiled the VKU – SSTH centre, dedicated to semiconductor circuits and smart technology. Equipped with 30 computers and proprietary circuit design software from Synopsys, the centre is poised to serve as a hub for training and research in semiconductor circuits and smart technology.
OpenGov Asia reported that Da Nang inaugurated the Da Nang Semiconductor and Artificial Intelligence Center for Research and Training (DSAC) in January this year, marking a significant stride in technological advancement. This initiative underscores Da Nang’s dedication to enhancing its capabilities in integrated circuit (IC) design and artificial intelligence (AI).
The decision to establish DSAC was announced on January 26 by Le Trung Chinh, Chairman of the municipal People’s Committee, highlighting the centre’s role in realising the city’s strategic objectives. DSAC is poised to engage in research, training, and technology transfer in microchips, semiconductors, and AI development, while also fostering international cooperation in these critical domains.
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Vietnam has emerged as a promising market in the global data centre landscape, with significant growth projected in the coming decade. According to the latest report from Viettel IDC, the country’s data centre market is forecast to reach a value of US$1.26 billion by 2030, with a compound annual growth rate (CAGR) of 10.8%. This projection underscores Vietnam’s increasing importance in the digital economy and its potential to become a key player in the data centre industry.
Despite its promising outlook, Vietnam’s data centre market currently lags behind its regional counterparts in terms of size. Compared to countries like Singapore, Malaysia, and Indonesia, Vietnam’s data centre market is relatively small. However, this is expected to change in the coming years as the country experiences rapid economic growth and invests heavily in digital infrastructure.
One of the key drivers of growth in Vietnam’s data centre market is the increasing demand for digital services and cloud computing. With the rise of e-commerce, digital banking, and other online services, there is a growing need for secure and reliable data storage and processing facilities. Data centres play a crucial role in meeting this demand by providing the infrastructure necessary to support these services.
Another factor contributing to the growth of Vietnam’s data centre market is the government’s support for digital transformation initiatives. In recent years, the Vietnamese government has prioritised the development of the digital economy as part of its broader economic strategy. This has included investments in digital infrastructure, as well as policies aimed at promoting innovation and entrepreneurship in the tech sector.
Furthermore, Vietnam benefits from a skilled workforce and relatively low construction costs compared to other countries in the region. This makes it an attractive destination for companies looking to establish data centre operations in Southeast Asia. Additionally, the government has implemented supportive regulatory frameworks to encourage investment in the sector, further stimulating growth.
Domestically, the data centre market in Vietnam is dominated by a few major players, including Viettel, VNPT, FPT, and CMC. These companies collectively hold approximately 97% of the market share, indicating a high level of concentration in the industry. However, there are still opportunities for new entrants, particularly in niche segments or specialised services.
Looking ahead, Viettel IDC predicts a significant expansion of Vietnam’s data centre market in the coming years. Plans are underway to build megacentres in major cities like Ho Chi Minh City and Hanoi, with an estimated total capacity of up to 450 MW. This represents a substantial increase from the current capacity and reflects the growing demand for data centre services in the country.
In addition to data centres, Vietnam’s cloud computing market is also experiencing rapid growth. While the market size is currently smaller than that of neighboring countries like the Philippines and Indonesia, Vietnam has the highest growth rate in the Southeast Asia region and ranks third in Asia overall. The projected growth rate of Vietnam’s cloud market over the next 5-10 years is expected to be around 19-20%, driven by increased adoption of cloud services by businesses and consumers.
Vietnam’s data centre market presents significant opportunities for growth and investment in the coming years. With supportive government policies, a skilled workforce, and increasing demand for digital services, Vietnam is well-positioned to become a major player in the global data centre industry. As the country continues to invest in digital infrastructure and technology, it is poised to emerge as a leading hub for data centre operations in Southeast Asia and beyond.
OpenGov Asia reported that Vietnam is rapidly becoming a key player in the global data center market, driven by factors like increasing digitalisation among SMEs, a tech-savvy young population, the rollout of 5G technology, and a rising demand for independent digital infrastructure and data sovereignty.