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Artificial intelligence (AI) and machine learning are playing a key role in helping governments better understand and address the COVID-19 crisis.
So far, it has been key in helping understand the virus and accelerating medical research on drugs and treatments.
It has also been used to detect and diagnose the virus as well as predicting its evolution.
Through surveillance and contact tracing it has assisted in preventing or slowing the spread of the virus. Governments have been able to respond to the health crisis through personalised information and learning with the help of AI. And going forward it will prove to be a key tool in monitoring the recovery and improving early warning tools.
Using AI to relieve administrative pressures
Government administrations and healthcare organisations have been able to relieve some of the manual administrative pressures due to the pandemic through AI-based chatbots, such as pre-screening patients for COVID-19 symptoms or providing citizen advice on healthcare issues or lockdown policies on government agency websites.
Virtual assistants and chatbots have been used in the healthcare sector to help triage people depending on the presence of symptoms, identifying, finding and contacting vulnerable, high-risk, individuals and AI may eventually help in accelerating training and education of healthcare personnel.
AI has also been used for the detection and removal of false information related to the virus posted on social media platforms.
AI to detect, diagnose and help prevent the spread of COVID-19
AI can also be employed to help detect, diagnose and prevent the spread of the virus. Algorithms that identify patterns and anomalies are already working to detect and predict the spread of COVID-19, while image recognition systems are speeding up medical diagnosis.
It can more rapidly develop antibodies and vaccines for the Covid-19 virus, has the capability of scanning through existing drugs to see if any could be repurposed and design a drug to fight both the current and future coronavirus outbreaks
Machine learning is also helping researchers and practitioners analyse large volumes of data to forecast the spread of COVID-19, in order to act as an early warning system for future pandemics and to identify vulnerable populations.
Governments will need to balance AI use and privacy protection
AI has become a key weapon in tracking and tracing cases during this pandemic. Deploying those technologies has sometimes meant balancing the need to stop the spread COVID-19 and ensuring individual privacy is protected.
It is important to keep in mind that AI is not the only solution to solving the crisis but is an effective if not key tool in helping solve challenges that have arose from the pandemic. Human input is required to make AI capabilities successful. AI systems based on machine learning work by identifying patterns in data, and require large amounts of data to find these patterns. The outputs are only as good as the data input.
Government use of AI in the future
Going forward Governments should ensure AI systems are used responsibly and respect privacy especially for measures of population control and monitoring, as some AI systems raise questions about their purpose and the potential that personal data could be re-used in ways that infringe privacy and other rights.
Governments should work towards multi-stakeholder co-operation and data exchange internationally by the AI community, medical community, developers and policy makers to work out the problems, identify relevant data and open datasets, share tools and train models to help with future decisions and solutions.
This is an opportunity for governments to learn from this wave of the pandemic to prepare for a possible second wave. To build on and develop AI technologies that can learn from the current COVID-19 situation.


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Having robust, effective, and easily accessible healthcare is essential for enhancing the standard of living, achieving better treatment results and increasing lifespan. Tech-enabled progress made in the field of medicine has been a boon, with groundbreaking innovations and discoveries paving the future of healthcare.
The healthcare sector is witnessing a rapid transformation, with the emergence of new technologies that promise to tackle the most pressing global healthcare challenges. MedTech has become increasingly crucial in this context and has opened up a plethora of possibilities for healthcare professionals to advance their skills and knowledge and expand their reach to underserved regions.
The advent of innovative healthcare technology has empowered doctors to provide better care to a greater number of people, irrespective of their geographical location and help prevent and combat emerging diseases effectively.
Technological advancements offer more effective medication, more accurate diagnostics and improved drug delivery systems giving hope for better patient care and prognoses. Integrating healthcare components through technology can also lead to more efficient and accessible healthcare services while lowering costs.
The healthcare industry hugely benefits from technology, which has been the driving force behind the significant progress made thus far. Technology will continue to play a crucial role in catalysing further advancements in healthcare, enabling healthcare professionals to provide better care, develop innovative treatments and improve patient outcomes.
The Impact of Digital Technology on Healthcare
“The outbreak has brought about a significant transformation in the digital healthcare landscape. With social distancing measures in place, teleconsultations have become increasingly prevalent, and patients, as well as healthcare providers, have had to adjust to this new format of healthcare delivery,” Prof Lawrence explains.
While the adoption of teleconsultations has seen a good uptake, other digital systems such as digital identification for tracking hospital entry and exit have encountered hurdles during implementation.
Prof Lawrence has identified the lack of an integrated healthcare ecosystem as a major challenge to the successful implementation of telemedicine. While video consultations are prevalent, the scarcity of examination tools and delays in medication delivery remain major obstacles. The limited access to medical information and the inability to provide detailed explanations or drawings further impede the progress of telemedicine.
Additionally, elderly patients, and other segments of society, may have difficulty using technology. Moreover, telemedicine cannot replicate the nonverbal and emotional aspects of in-person interaction. To overcome these obstacles, he feels, telemedicine in healthcare consultations and visits must be refined and expanded.
Prof Lawrence emphasises the need for the medical industry to evolve and improve its diagnostic and treatment capability. Current diagnostic techniques are limited to the five senses but there is a significant potential to collect more accurate and comprehensive patient data through the integration of sensors and artificial intelligence (AI) technology. This could lead to more precise diagnoses and tailored treatment plans, ultimately improving patient outcomes.
“Telemedicine may have some advantages, such as reduced travel time and longer appointments, but it will only be successful if patients see it as a viable alternative to face-to-face consultations,” Prof Lawrence reiterates. “It is important to have a gradual evolution and improvement in the medical industry, as opposed to dramatic changes driven by hype.”
He believes current medical developments primarily focus on the developers and creators rather than the end-users. This approach needs to be reoriented towards a more user-centric model for future medical development, including its cost-effectiveness.
Systems should be developed that take into account the specific needs and preferences of patients, healthcare providers and other stakeholders. This would ensure that healthcare development is better aligned with the needs and goals of those who will ultimately benefit from it
Academia should be incentivised to look out for interests outside of its own research driven solely by academic interests such as self-serving publications and ranking are no longer practical nor justifiable by public funding. There is a growing consensus that the focus of research should shift towards the development of practical applications.
In addition, he stresses the importance of investors in promoting innovation and addressing gaps within the healthcare ecosystem. He suggests that investors should prioritise addressing population-level issues, rather than focusing solely on niche areas.
As people’s lifespans continue to extend, addressing the requirements of an ageing population has become increasingly critical. It is crucial for startups to thoroughly explore this market and develop innovations specifically tailored to the needs of this demographic.
Drawing on the example of Singapore, which has implemented technology to support its elderly population, he suggests investors consider this increasingly important and growing segment when evaluating potential startups for investment.
“To effectively address the complexity national healthcare poses, a systems approach to problem-solving is necessary, where sustainability and equality take precedence over profits,” advocates Prof Lawrence. “Rather than focusing on building more structures, it is important to prioritise addressing issues of affordability and inequality through technology.”
Urban Ideas and Solutions Through LKYGBPC
The Lee Kuan Yew Global Business Plan Competition (LKYGBPC), which began in 2001, is a biennial global university start-up competition hosted in Singapore. Organised by Singapore Management University’s Institute of Innovation and Entrepreneurship, focuses on urban ideas and solutions developed by student founders and early-stage start-ups.
Prof Lawrence, who serves as a member of the judging panel, believes assigning mentors to teams based on their area of expertise can offer valuable guidance and support. This is just one of the many initiatives undertaken by the panel to foster, encourage, and sustain the entrepreneurial drive of the LKYGBPC participants.
In his view, when discussing the fundamental contrast between innovation and entrepreneurship, he feels that innovation involves tackling issues with fresh perspectives and novel ways, while entrepreneurship requires both discipline and adaptability in managing growth.
“Many people fail in business because they lack discipline and work independently,” says Prof Lawrence. “Cultivating a larger community of individuals who are adaptable and capable of working as part of a team is critical to entrepreneurship success.”
He considers seeking advice and collaborating with others crucial to surmount obstacles in innovation and entrepreneurship. Innovators should be willing to seek the assistance and counsel of others, particularly those with expertise in areas such as regulation or commercialisation.
People must understand that there are unique challenges at each stage of the process and bringing them to the right people to help solve them is important. Moreover, entrepreneurship demands financial discipline that benefits from the guidance and mentorship of multiple individuals.
Singapore’s drive to remain competitive in the global arena is a case in point. The country, he says, serves as a springboard, connecting people and providing access to other countries. To attract and retain talent and expand into new markets, he recommends leveraging Singapore’s strengths, such as its robust education system and its position as a hub for the Asian ecosystem.
Prof Lawrence co-invented the revolutionary Master and Slave Transluminal Endoscopic Robot (MASTER), which has now been incorporated into Endomaster.
He has mentored three startups in the fields of photonics and medical technology to identify potential failures and early warning signs through his own experiences.
Prof Lawrence has served as co-chair for the Gut & Obesity in Asia (Go Asia) Workgroup, which investigates the correlation between obesity and gastrointestinal and liver ailments in Asia.
In summation, he stresses the importance of perseverance in the face of adversity, as it enables individuals to learn and prepare for future challenges.
“Those who have never failed or struggled in the trenches may not be able to achieve long-term success,” Prof Lawrence concludes.
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Kemajuan teknologi dan sains telah membawa efektivitas dan efisiensi industri kesehatan sehingga bisa menjangkau lebih banyak orang di pelosok wilayah. Kemudahan akses pada layanan perawatan kesehatan ini diharapkan bisa meningkatkan kualitas hidup dan umur warga.
Telemedicine menjadi salah satu perkembangan terbaru di industri ini yang populer imbas pandemi COVID-19. Saat itu, telemedicine berhasil membantu pasien untuk berkonsultasi dengan dokter, melakukan diagnosis, dan pengobatan dari jarak jauh.
Perkembangan kecerdasan buatan (AI) ikut berkontribusi memodernisasi layanan kesehatan. AI berpotensi membantu dokter untuk membuat diagnosis yang lebih cepat dan akurat, memprediksi hasil kesehatan, dan melakukan asistensi rencana perawatan. Layanan berbasis AI seperti chatbots dan asisten virtual, juga bisa dimanfaatkan untuk menjembatani komunikasi layanan kesehatan dengan pasien.
Pengobatan yang efektif, teknik diagnostik yang lebih akurat, dan sistem pemberian obat yang lebih baik diarahkan untuk memperbaiki sistem perawatan, pengobatan, dan prognosis pasien. Selain itu, kemajuan teknologi juga diharapkan bisa mengurangi biaya perawatan kesehatan lantaran operasional yang makin efisien.
Menggali potensi dari celah di teknologi kesehatan
“Jika Anda menggunakan konsultasi video, Anda hanya dapat melihat tapi Anda tidak dapat memeriksa. Tentu saja pemeriksaan adalah hal yang penting. Semestinya kita bisa memiliki kemampuan yang sama serupa dengan pertemuan tatap muka. Menurut saya, alat pengujian untuk melakukan diagnosa masih kurang pada layanan telemedicine,” jelas Lawrence dalam wawancara dengan CEO & Pemimpin Redaksi OpenGov Asia, Mohit Sagar.
Kedua, layanan telemedicine masih harus mematangkan ekosistem pendukung, salah satunya terkait dengan pengantaran obat. Di Singapura, layanan pengantaran obat bisa dikirim dalam satu minggu. Hal ini tentu akan menghambat proses pengobatan ketimbang langsung datang dan diberi obat ketika melakukan kunjungan tatap muka.
Meski demikian, Lawrence menyebut layanan telemedicine masih dilakukan di masa setelah COVID-19 untuk pasien yang kondisinya sudah cukup stabil di rumah. Sementara sebagian besar pasien sudah kembali melakukan kunjungan tatap muka seperti biasa.
Selain itu, penjelasan yang bisa dilakukan lewat telemedicine menurut Lawrence masih terbatas. Ia merasa kesulitan jika harus melakukan penjelasan dengan tambahan gambar yang dengan mudah dilakukan dalam pertemuan tatap muka secara langsung.
Selain itu, ia pun menaruh perhatian pada kesulitan akses teknologi yang dialami oleh pasien lanjut usia. Telemedicine sulit untuk membaca dan menyampaikan aspek nonverbal dan emosional dari interaksi langsung.
Ia menekankan industri medis perlu mengembangkan dan meningkatkan metode untuk mendiagnosis dan merawat pasien. Ia berharap telemedicine bisa mendukung diagnosis dengan memanfaatkan sejumlah panca indera untuk memeriksa gejala. Dalam pertemuan tatap muka, dokter bisa langsung mengukur detak jantung dengan stetoskop, merasakan dengan sentuhan jari, pendengaran, atau diagnosis sensoris lain untuk mendapat data dari pasien. Kesamaan proses diagnosis seperti inilah yang perlu dikembangkan untuk layanan telemedicine ke depan.
Untuk memperbaiki layanan perawatan medis jarak jauh, semua kekurangan itu perlu ditambal. Tambahan sensor, metaverse dan kecerdasan buatan (AI) dapat dimungkinkan untuk melakukan hal ini dan membantu menganalisa data pasien yang lebih akurat dan komprehensif. Ia optimis kemajuan teknologi bisa mengatasi semua kelemahan itu karena saat ini kita sedang berevolusi untuk meningkatkan layanan telemedicine secara bertahap.
Sebagai seorang investor, menurut Lawrence, inovasi itu menjadi pendorong inovasi yang cukup besar. Namun, agar bisa lebih berdampak, menurutnya baik inovator, akademisi, dan startup mesti benar-benar menyentuh permasalahan di akar rumput. Selama ini, penelitian-penelitian yang dilakukan para edukator kurang peka dengan kebutuhan masyarakat. Mereka melupakan mengapa mereka ada di institusi akademis yang semestinya menelurkan solusi bagi masyarakat. Begitupula dengan para investor. Mereka pun mesti memiliki visi untuk melayani dan menyelesaikan masalah di masyarakat terlebih dulu sebelum menajamkan sasaran ke ceruk pasar yang lebih sempit.
LKYGBPC untuk majukan entrepreneurship
Bagi Lawrence, inovasi berangkat dari inisiatif untuk menyelesaikan masalah dan mengeksekusi ide solusi itu dengan kedisiplinan. Disiplin dalam memperbaiki produk, mengelola konsumen, membangun tim dan organisasi, serta mengelola keuangan. Lawrence menganggap kompetisi bisnis internasional seperti LKYGBPC bisa memberikan kesempatan bagi para pebisnis muda untuk melakukan ekspansi pasar ke negara lain.
Prof Lawrence menjadi investor di tiga startup. Pertama adalah Master and Slave Transluminal Endoscopic Robot (MASTER). MASTER kini telah diintegrasikan menjadi Endomaster, startup MedTech yang paling banyak mendapat kucuran dana di Asia pada 2017. Ia pun mendanai startup di bidang fotonik dan bioteknologi yang mengembangkan peringatan dini dibidang kesehatan.
Berdasarkan pengalaman memiliki tiga startup teknologi kesehatan, Lawrance menyarankan agar startup perlu fleksibel dan membuka diri. Mereka mesti bersedia menerima masukan dari konsumen, tim, dan mereka yang lebih ahli. “Saya merasa bahwa beberapa inovator sangat protektif terhadap produk mereka sendiri, mereka pikir ini adalah bayi mereka.”
Sebab, dari berbagai masukan itu, founder dan tim bisa memetakan dengan cepat berbagai tantangan yang mungkin mereka hadapi di sepanjang jalan. Setelah itu, mereka mesti menemukan orang yang tepat untuk memecahkan tantangan tersebut.
Mereka pun harus berjuang untuk mewujudkan apa yang mereka janjikan dari konsep yang diajukan. Menurut Lawrence, beberapa orang lebih jago menuliskan ide mereka di kertas dan Power Point ketimbang terjun langsung ke lapangan.
“Para pejuang kertas dan Power Point sangat sulit untuk berhasil. Anda harus benar-benar melakukannya hingga berdarah-darah, hingga Anda menguasai dan memenangkan pertempuran,” tegasnya.
Tantangan berikutnya untuk startup kesehatan adalah soal regulasi. Startup perlu menemukan ahli untuk membantu merancang uji klinis agar lolos berbagai uji klinis dan regulasi.
Tantangan yang terakhir adalah masalah komersialisasi produk. Bagaimana menghasilkan pendapatan dari produk yang akan dijual.
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There has been extensive usage of AI technology in the service of helping humanity. In the health sector, AI has been used to identify new illnesses and epidemics that have become a concern when they appear in different parts of the world. Therefore, it was decided to develop the necessary tools to assist the country in dealing with any future pandemic in Indonesia at the suggestion of Indonesia’s National Research and Innovation Agency (BRIN).
Given Indonesia’s limited infrastructure and medical workforce, a well-thought-out plan was crucial for overcoming such an emergency. As a result, the healthcare infrastructure in Indonesia, including hospitals, physicians, health workers, and the government, could be ready for any future pandemic.
Outbreaks can be identified using AI by extracting morphometric information from microscopy images. Anto Satriyo Nugroho, Director of BRIN’s Centre for Artificial Intelligence Research and Cybersecurity (PR KAKS), said that AI can greatly aid Indonesian healthcare workers in hot spots, for instance, malaria epidemics. The algorithm could determine whether a person has caught malaria based on whether their blood sample tested positive for the parasite outbreak.
“Artificial intelligence applications can also detect epidemics with high precision. With AI, we can get an accurate forecast 77.14% of the time, with a sensitivity of 84.37% and an F1 accuracy of 80.60%,” he revealed.
To promote such initiatives, the National Research, and Innovation Agency (BRIN) hosted a webinar with the topic “Utilising AI in Health”. A panel discussion with a resource person, the Director of the BRIN Institute’s Centre for Artificial Intelligence Research and Cybersecurity (PR KAKS), followed the webinar activity. Prof. Indi Dharmayanti, Head of the BRIN Health Research Organisation, and Alexander Svinin, Russian Trade Attache for Indonesia, shared some opening comments during this webinar.
Experts in artificial intelligence technology include Anto Satriyo Nugroho, Director of the Center for Artificial Intelligence at Innopolis University Russia Ramil Kuleev, and researcher from the Astutiati Nurhasanah National Agency for Research on Vaccines and Drugs Research Centre, Ruslan Lukin.
Meanwhile, Russian Trade Attaché Alexander Svinin has voiced his approval of the work being done in Indonesia in artificial intelligence, “When it comes to the use of AI in medicine, we will be extremely receptive to new ideas and findings. This will open the door for cooperation among many groups.”
Professor and Head of the Russian University of Innopolis’s Institute of AI According to Ramil Kuleev, artificial intelligence has been used in various spheres of Russian society, most notably the medical field, where it has been used to diagnose illnesses based on radiological examinations.
Indonesian organisations like the Metaverse Research & Experience Centre (MREC) and the Indonesia Metaverse Collaboration supports the metaverse effort alongside AI development. Denny Setiawan, Director of resource management for the Ministry of Communication and Information’s Directorate General of Resources and Equipment of Post and Information Technology, said this would be a crucial step in hastening the country’s digital transition.
The mission of the Metaverse Research and Education Consortium (MREC), a public-private partnership, is to foster these very activities inside the realm of the technological metaverse. The Metaverse Research and Experience Centre (MREC) may be in the middle of the action on the Telkom University Campus. The building will serve as a hub for metaverse technology-related R&D, engagement with industry, and capability development.
Academics, researchers, connectivity service providers, industry partnerships, and policymakers can all work together and build connections with the help of MREC’s resources. Launching MREC is a big deal for Indonesia’s digital economy since it shows the country is serious about capitalising on the rising international interest in metaverse technology.
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Through a series of workshops, Taipei Tech College of Management is collaborating with the world’s largest software corporation and an artificial intelligence (AI) company to cultivate students’ core digital and AI competencies.
The workshop, according to Fan Shu-kai, Dean of Taipei Tech College of Management, will cover ChatBot and its application in digital marketing, generative AI technology, Azure Open AI service and its application, and API (application programming interface).
The workshop will show how generative AI technology can be used in education and research, as well as how students can use AI tools for their senior projects. It is in high demand among students and teachers, and registration fills up within 24 hours.
The future of higher education is being shaped by generative AI technology. The new technology has the potential to boost efficiency and productivity while also improving the quality of student projects. As a result, it was provided with the Azure Open AI service for the College of Management’s students and faculty to use and strengthen their application capabilities.
Taipei Tech Provost Huang Yu-hsien stated that in order to stay current and relevant, they should develop competency in working with AI tools. As a result, Taipei Tech intends to incorporate content from an AI application into existing courses on deep learning, natural language processing, and neural networks.
Likewise, Taipei Tech will launch a microprogramme on AI and cross-disciplinary applications this year, with the goal of developing students’ AI application skills and career readiness. Students will be encouraged to use AI technology as a learning aid in an effective and responsible manner.
Huang stated that teachers will evaluate student performance through oral reports or on-site written tests at least twice a semester to prevent plagiarism. Multiple criteria, including interviews, practical projects, and screening tests, will be considered in the recruitment process.
In addition, during the 2023 academic year, Taipei Tech will launch a new graduate programme in aerospace and system engineering. The new programme will address the growing demand for aerospace technical talent by focusing on technology development in the fields of the satellite system, communication payload, and earth stations in motion.
President Wang Sea-fue of Taipei Tech stated that Taipei Tech is the first technological university to offer a graduate programme in aerospace technology. The new programme will promote cross-disciplinary technology development by bringing together the resources and faculty of the Colleges of Electrical Engineering and Computer Science and Mechanical and Electrical Engineering.
Taipei Tech will collaborate with academic and industrial partners such as the Georgia Institute of Technology and computer firms, as well as government agencies such as the Institute for Information Industry and Taiwan Space Agency, to develop professional talents with strong aerospace engineering skills and knowledge.
The new curriculum will include courses in satellite engineering, space mission and system design, spacecraft dynamics, and aerospace system management. Students will be equipped with theoretical and practical knowledge in aerospace engineering through internships and research projects.
It is expected to prepare students for careers in the aerospace industry by providing practical training and equipping them with problem-solving and mission-planning skills.
In Taiwan, there are numerous initiatives and programmes aimed at improving students’ AI skills. AI for Youth Programme, AI Bootcamp for Students, and AI Education Project are a few examples. Taiwan’s commitment to developing AI talent and preparing its youth for the future workforce is exemplified by these programmes and initiatives.
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The BRIGHT/AHI algorithm, funded as part of the Australian federal government’s Smartsat CRC Bushfire initiative, was developed by a team of researchers from the former Natural Hazards CRC and Natural Hazards Research Australia.
It uses images from the Himawari-8 satellite of the Japanese Meteorological Agency to provide automated, near-continuous, and near-real-time surveillance of potential fire activity across Australia. Previously, polar-orbiting earth observation satellites could only provide one or two images per day, limiting the detection of potential hotspots. However, with the addition of geostationary satellites, new opportunities have emerged for persistent continental monitoring of fires, improving the ability to observe fire in the landscape from space.
Fire detection algorithms typically identify hotspots by comparing the temperature of a candidate pixel to a reference value. Traditional fire detection methods compare the candidate pixel to its surrounding pixels, using fixed threshold values to trigger a detection.
However, this technique can be problematic, especially when fires occur in complex landscapes or when cloud and/or smoke obscures or partially obscures pixel values. In a country as large and diverse in fire regimes as Australia, these challenges are further compounded.
The BRIGHT/AHI algorithm adopts a novel approach to detect fire activity from earth observation data. By leveraging the AHI Himawari-8 geostationary imager that captures images of Australia every ten minutes, day and night, the algorithm calculates bioregion-specific control values and associated thresholds based on a pixel’s temperature history. This history covers a 30-day period, and the values are optimised to minimise errors of omission in near-real-time. Upon receiving the satellite imagery, the algorithm processes the entire continent of Australia in less than 45 seconds, providing timely and accurate bushfire information. The algorithm’s detections have been compared to those of existing polar-orbiting, satellite-based fire detection products (Chatzopoulos-Vouzoglanis et al., 2022).
The release of the new BRIGHT/AHI hotspot product to Australian fire management agencies and the public is timely, given that two polar-orbiting fire detection products, namely the Moderate Resolution Imaging Spectrometer (MODIS) and the Visible Infrared Imaging Radiometer Suite (VIIRS), are approaching the end of their operational lifecycles.
The MODIS instruments were launched in 1999 (Terra satellite) and 2002 (Aqua satellite), and both have exceeded their designed operational lifetimes of six years. While the Suomi NPP VIIRS maintains the continuity of earth observations, this was recently compromised when the satellite went into safe mode in July 2022 and only recently came back online.
The BRIGHT/AHI algorithm, together with geostationary satellites, represents a new generation of near-real-time earth observation products that are revolutionising our ability to understand fire activity, regimes, impacts, and recovery in a systematic and replicable way for Australia.
Recent developments and testing have led to the inclusion of Fire Radiative Power (FRP) estimate alongside hotspots, with associated products of fire severity and combustion completeness being developed by the RMIT team. However, the challenge of persistent surveillance and tracking of wildfires across Australia is complex and requires a suite of technologies and techniques.
While no single technology or solution can provide us with robust answers to every question, BRIGHT/AHI contributes significantly to this ongoing challenge through the provision of hotspots for Australia via the Geoscience Australia Digital Earth Australia Hotspots website.
The Australian federal government’s Smartsat CRC now funds this research via its Real-time Fire Analytics research programme.
The aim of this project is to develop a comprehensive satellite system that combines geostationary, polar-orbiting, and aerial-based sensors to enable real-time attribution of fires across landscapes. The project will design and implement a data and platform ecosystem that allows for the autonomous detection, processing, and delivery of real-time fire information to end users.
The project comprises two key elements:
- The design and implementation of a data and platform ecosystem that can enable real-time fire surveillance using geostationary, polar-orbiting, and aerial sensors. This “system of systems” approach will ensure that the best available information is always provided.
- The project aims to develop autonomous AI algorithms for real-time fire surveillance and attribution, such as burn severity and FRP.
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Digital technology is being used at tourist sites and by travel businesses to build tour packages and attract visitors to Hanoi. To encourage tourism businesses to renovate their travel services, the city has successfully completed the data sharing of over 300 tourist attractions through an integrated database.
Using the database, domestic and foreign tourists can find out more information about destinations before setting out. With digital technology, tourism businesses can reach out to potential customers, expand new services to meet market trends, optimise human resources, operating costs, and save time.
Several tourist sites in the city have applied new technologies in product development and operation management. At the Thang Long Imperial Citadel, the management is using QR codes for visitors to find information about relic sites. Meanwhile, the Vietnam National Fine Arts Museum launched the iMuseum VFA, a multimedia guide app. It is one of the museum’s first efforts to introduce artworks to visitors and promote museum artefacts in the digital environment.
The Temple of Literature uses 3D mapping to recreate ancient documents and artefacts while digitising data from ancient examination courses and doctoral steles. An official from the Centre for Cultural and Scientific Activities of the Temple of Literature said that the management has introduced an audio guide service in 12 languages. The Bat Trang Pottery Village in Gia Lam District uses virtual reality (VR) technology to help visitors immerse themselves in the village’s handicraft festival. According to an official, digital transformation is one of the important solutions for tourism businesses to build tours to attract tourists to Hanoi. The Deputy Director of the Municipal Department of Tourism noted that the city also continues to upgrade its website and social networking sites to promote Hanoi tourism in line with new market trends.
Over the years, the Ministry of Culture, Sports, and Tourism and the Vietnam National Administration of Tourism (VNAT) have built digital platforms to create a smart tourism ecosystem towards synchronisation across the country. This strengthens connectivity and support for industry stakeholders, from central and local authorities to tourism sites, service providers, and tourists. The VNAT’s Tourism Information has developed and published a guide on digital transformation in the tourism industry to support localities in digital transformation and build a synchronised digital ecosystem.
At a recent national conference on tourism, the Deputy Minister of Information and Communications (MIC), Nguyen Huy Dung, urged the VNAT and the Ministry of Culture, Sports, and Tourism to continue investing in websites and mobile applications. Vietnam is making efforts to build a professional and synchronised national tourism data portal and connect with localities to promote the tourism industry.
Recently the Ministry authorised a plan to preserve and promote the significance of traditional literature of ethnic minorities using digital technology. As OpenGov Asia reported, the initiative will concentrate on gathering and conducting yearly assessments to create an inventory of intangible cultural heritages related to the folk literature of ethnic minorities. Accordingly, it will digitalise and publish 40% of folk literature works, and preserve and complete the documentation of 40% of others at risk of oblivion. It will offer financial support to 50% of authors and artisans in intangible cultural heritage and folk literature of ethnic minorities, and provide training for 50% of civil servants, cultural officials, artists, folk authors, village elders, and village chiefs.
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The Unique Identification Authority of India (UIDAI) and the Society for Electronic Transactions and Security (SETS), which is a part of the Office of the Principal Scientific Adviser, plan to work together on research and development in the field of deep technology.
According to a press release, under a memorandum of understanding (MoU), the two sides will conduct collaborative research in areas like cybersecurity, Internet of Things (IoT) security, mobile device security, financial network slice security, and hardware security, among others.
The initiative aligns with the Make in India campaign, with the goal of enhancing self-sufficiency in information technology and cybersecurity, while also reducing the country’s dependence on exports. As part of this effort, experts and officials from both groups will join forces on research projects centred around artificial intelligence (AI) and blockchain technology for cybersecurity. They will also focus on developing innovations in quantum security and cryptography, including quantum random number generators, crypto API libraries, and quantum-safe cryptography.
Accordingly, officers from SETS and UIDAI will propose and implement joint research projects and create tools and products that can be utilised not only within the UIDAI ecosystem but also in other critical IT infrastructures.
Emerging technologies like AI and big data are at the core of the Digital India initiative, serving as tools for good governance and forming the foundation of India’s expansive digital public infrastructure. UIDAI is a statutory authority established under the provisions of the Aadhaar Act 2016. Aadhaar cards are 12-digit unique identification numbers linked to a citizen’s basic demographic and biometric information. The adoption of Aadhaar-based authentication transactions has been witnessing an upward trend as it has proved to be a facilitator in availing several welfare benefits and services, the government has said.
UIDAI has already issued over 1.36 billion Aadhaar numbers to residents, with more than 70 million Aadhaar-based authentication transactions taking place every day. Additionally, nearly 1,700 schemes of the central and state governments for welfare and good governance utilise Aadhaar.
As OpenGov Asia reported earlier, an in-house developed security mechanism for Aadhaar-based fingerprint authentication has been launched. It utilises a combination of finger minutia and finger image, which is powered by AI/ML. The technology enhances the liveness check of captured fingerprints, thereby making Aadhaar authentication transactions more secure and robust.
The new two-factor/layer authentication incorporates add-on checks to validate the genuineness (liveness) of the fingerprint to reduce fraud attempts. The initiative will be beneficial for the banking and financial sectors and telecom players and government agencies. The implementation of the new security mechanism will also aid individuals at the bottom of the pyramid by strengthening the Aadhaar-enabled payment system and preventing fraudulent attempts made by unscrupulous elements.
After several months of discussions and support provided by the UIDAI to its partners and user agencies, the new security mechanism for Aadhaar-based fingerprint authentication is now fully functional. The implementation of the new security mechanism has resulted in the replacement of the less secure single-factor authentication methods, which relied solely on either finger image or finger minutiae. The new system now uses a more robust two-factor authentication process, which is a positive outcome for all stakeholders involved.