MIMOS Berhad acts as the principle Research and Development arm of the Malaysian Government. In its position, MIMOS looks into the potential for frontier technologies in supporting government service delivery.
With the onset of big data analytics and increase in IoT devices, MIMOS has been looking into ways to capture data intelligently, so as to provide greater decision making tools to the public sector.
OpenGov recently spoke to Datuk Abdul Wahab Abdullah, President & CEO, MIMOS Berhad, about the impact that data analytics plus IoT will have on public sector service delivery, as well as a case study on the Malaysian Government Ministry of Health. He began by explaining the ever-increasing opportunities posed by big data.
“We are going to have millions of apps, billions of users, and many IoT devices. We must translate the data we will receive, into our decision making process,” said Datuk Abdul Wahab Abdullah.
“MIMOS’ job is to develop technology that will enable organisations to make use of these devices, translate the data into a decision, which will feed into the greater market. As the government, we talk about productivity and how you manage data in order to make people do more with the resources they have at hand.”
In discussing MIMOS’ case study from the Ministry of Health, Datuk Abdul Wahab Abdullah described the five biggest challenges in dealing with big data within the public healthcare industry.
He emphasised that many of these challenges may be recognised within other public sector organisations. These challenges being:
- Having multiple system and databases
- Data access and data integration issue
- Technology lock down
- Use of multiple technologies and systems in silos
- Major challenges in data exchange
- Compliance to Personal Data Protection Act (PDPA)
- Data in different reporting formats
- Data not harmonized and using legacy medical classifications
- Connectivity to remote centres
- Difficult to access teleprimary care centres
“Our challenge is how to integrate these different technologies so that data can travel seamlessly and patient privacy is ensured,” said Datuk Abdul Wahab Abdullah.
“In Malaysia, we are centred in Kuala Lumpur and some of our entities are remote, where connectivity remains an issue. In the situation of a network failure, we would resort back to paper and pencil,” Datuk Abdul Wahab Abdullah emphasised.
In addressing public sector challenges with big data, it seemed appropriate to use the healthcare industry as a model for the challenges that can be encountered with analytics.
Datuk Abdul Wahab Abdullah explained how the Ministry of Health solved these challenges and spurred efforts to change the way they interact with data from various sources.
“This is how the Ministry of Health have set up their Data Warehouse and Ecosystem. This can be duplicated within any other ministries in the Government,” Datuk Abdul Wahab Abdullah said, “There is a flow of data using both outsourced data from Public Hospitals and Public Specialist Hospitals, along with Government Data sets.”
The reason for incorporating data sets from outside sources is simple. In order to paint a complete picture of the state of healthcare in Malaysia, it is crucial to look at data from clinics and specialists.
Datuk Abdul Wahab Abdullah explained why it was so important for the Ministry to incorporate this data, within their ecosystem.
“The reason we are looking at big data is because the first line of disease control is at the clinic. If you want to do healthcare data analytics right, you must control the data from the clinics.” explained Datuk Abdul Wahab Abdullah.
“Today, if you go to any health clinic, the system which traditionally worked in silos has been integrated into one system. We have unified the entire system into one so that when you register yourself at one clinic, you may go to any other clinic without registering again.”
It is important to not just say you are looking at data, but take the proper steps in solidifying your relationship with big data. Datuk Abdul Wahab Abdullah shared his insights on what organisations must do in order to manage their data.
“There are 3 key initial steps in embracing big data within the public sector. You must first harvest the right data. Secondly, you have to cleanse the data. Thirdly, we must focus on Harmonisation of Data sets, as some have different formats and values from each other,” explained Datuk Abdul Wahab Abdullah.
With all that has been accomplished with the Ministry of Health data warehouse, they only conquered half the battle when it comes to collecting and standardising data within Malaysia. The next step in these efforts was to prepare the data for international organisations.
UNESCO, United Nations Educational, Scientific and Cultural Organisation, is a specialised agency of the United Nations system focused on contributing to the building of peace, the eradication of poverty, sustainable development and intercultural dialogue through education, the sciences, culture, communication and information. UNESCO often works on promoting public health and information sharing through various initiatives.
When it comes time to send health data to international agencies, such as UNESCO, the Ministry of Health has prepared its data to make this process easier.
“We connected our database against the international critical data format. Now, the Ministry of Health can report directly to UNESCO on the state of health in Malaysia,” Datuk Abdul Wahab Abdullah proudly announced.
There is still much work in the Public Sector to be done in order to embrace data to the fullest. Datuk Abdul Wahab Abdullah and the team at MIMOS will continue to make data work for the Government, rather than the other way around.
“Moving forward, we are looking of ways to translate data … We have three groups that always tackle the issue of big data. What happens is, we go to a Ministry and ask them what their biggest issues are. Although some may think that data scientists are the silver bullet to address this, we think otherwise,” said Datuk Abdul Wahab Abdullah, “These are the things that we do in order to tackle the analytic issues and data issues that Ministries may have.”
Enterprise transformation refers to a significant shift in the way a company conducts its day-to-day operations. This could involve adjusting an organisation’s fundamental technology, the structure of the company’s workforce or the way the company creates and markets its goods.
Enterprise transformation can take many different forms, one of the most prevalent of which is when an organisation makes a significant change in the products or services it offers. Currently, with digital technology, adjustments like this are occurring more frequently.
Companies are realising that they need to modify their approaches to meet the ever-evolving requirements of their customers as well as the consistently expanding standards set by their rivals.
Simultaneously, several Digital technologies, including Artificial Intelligence, the Internet of Things, Blockchain, Big Data, Virtual reality, Augmented Reality, Robotics and automation, among others, have the potential to transform how businesses operate. They can transform various functions of the value chain, such as logistics & supply, manufacturing, engineering, marketing, customer service, corporate management and support functions.
With their versatility and agility, these technologies can be deployed to numerous industries, among these are Healthcare, Food & Beverage, Manufacturing, Services and Mobility.
Innovative Business: What Lies Ahead?
“Businesses need innovation, not only for survival but for future growth,” says Vikram. “Innovation could emerge as product innovation, process innovation, service innovation or business model innovation to create a long-term sustainable advantage.”
Enterprises have been creating legacies based on research and development (R&D) which has LED them to incremental innovations. However, innovation is disruptive or transformational and it can be around product processes, services and business models.
Transformational innovation represents innovation that transforms businesses and innovates processes to create long-term sustainable, competitive, profitable business models. Disruptive innovation is targeted more towards identifying and inventing new mechanisms to solve existing and anticipated problem statements in businesses, which is also expected to have a business impact.
Many businesses do not distinguish between R&D and innovation. Enterprises today, however, are better able to distinguish themselves from one another and can understand and appreciate the impact that innovation has in comparison to R&D’s function.
R&D is an essential part of most businesses, and the benefits it brings are usually small and mostly limited to the people who work in R&D.
Innovation, on the other hand, isn’t just a function; it’s also a way of thinking for the whole organisation. It affects everything from the process to the product to the service to the business model, and the expected size of its effects is disruptive rather than incremental.
This further demonstrates how the current difficult business and economic environment has forced companies with lower levels of technology adoption and digital maturity to rethink their operations.
Enterprises can now assess the possibilities that technology integration may bring about, not only to address their current problem statements but also to consider new opportunities, whether it takes the form of a product, service, or business model.
There are a few common KPIs that should be measured regularly to gauge an organisation’s and its employees’ level of digital maturity. Vikram believes that because every organisation is unique, the KPIs used for assessments will vary.
For example, the key metrics for some common functions, like customer experience, data and insights, strategic and leadership, technology, operations, digital skill sets and so on, would need to be customised based on how they have changed and how they are changing now.
“We can get innovations which can predict based on the data analytics for the next 10 years,” Vikram reveals. “Every organisation should think out-of-the-box. Then they only need the right set of people who can guide them for the KPIs to be defined.”
Additionally, a variety of industries, including those in healthcare, food and beverage, manufacturing, services, FMCG, mobility, hospitality, and many more, can adapt to new technologies.
The following are crucial actions that businesses need to take today to digitally transform their futures:
- Identify your key employees’ level of digital maturity
- Research the technologies that are currently being used by the Enterprise’s various functions
- Select current issue citations
- Sort the problem statements according to priority
- Assess a system for locating, evaluating, and integrating digital technologies
- After a framework has been chosen and put into place, make the process iterative
- Establish it as the Enterprise’s mentality
Urban Ideas and Solutions Through LKYGBPC
When it comes to entrepreneurs who are truly pushing the envelope, Vikram is looking for certain characteristics. One of these is how the participants interact with businesses, which is determined by a unique set of criteria.
“And because we engage with various sets of parameters when looking at entrepreneurs, we can combine their efforts with those of the business,” Vikram explains.
Therefore, they bring the enterprise work and the entrepreneurs together when looking at the entrepreneurs, especially in the GHV DX LAB framework – they are the project managers and the system integrator for GHV.
The digital transformation, specifically the adoption of online business models and the general shift of economic and social activities online, particularly during the COVID-19 pandemic, has altered how economies operate, businesses function and societies interact.
The exploitation of data is the driving force behind the emergence of a new type of data-driven economy. It creates new opportunities for international cooperation to leapfrog the intermediate infrastructure of the industrial age, taking advantage of the new markets made available by digital platforms and the improved service delivery made possible by smart technologies.
In addition, the most effective mechanism in education would be to integrate innovation and entrepreneurship at the earliest possible stages of the educational system. In today’s context, entrepreneurship is about more than just passion, raising capital, or coding something; it’s about building a network around yourself to support your entrepreneurial journey. The network is critical.
Vikram spent sixteen years in Japan before relocating to Singapore and India to establish a business. He has realised that he must contribute significantly to society. For Vikram, LKYGBPC is a fantastic platform that can be an integral part of any entrepreneur’s entrepreneurial journey.
As opportunities for entrepreneurs are created through this platform, a global network of mentors and other ecosystem partners are integrated with LKYGBPC to focus on the entrepreneurs. “I think it’s a fantastic platform that is desperately needed right now, not just in the context of Singapore or Southeast Asia, but for the global market,” Vikram is convinced.
He believes that a combination of all these factors pushed him into the venture capital world. “I enjoy being a techie. But I’m enjoying my current role as a mentor to thousands of Asian entrepreneurs.”
Vikram has mentored over 1200 startups to date, including 3 that will soon be unicorns. He has personally invested in over 50 startups, and through the GHV Fund, he has invested in over 20 startups. “Every day, I learn something new and give it back to society in the same way.”
Building intellectual property (IP) rights has been the best part of his digital journey so far, and he hopes to keep doing this. “The level of self-satisfaction I feel is never as high as when I say IP is greater. You can make a lot of money consulting, but that doesn’t get me excited if you can’t create IP and work together. And that’s why what we’ve been doing around it can be great,” Vikram concludes.
The Malaysia Digital Economy Corporation (MDEC), Malaysia’s lead digital economy agency, has kicked off the eRezeki programme for 2022. It is a training and job placement programme which focuses on generating high-value income opportunities for gig workers.
The programme runs from 1 October to 31 December 2022 and aims to upskill over 8,000 gig workers with a focus on participation from B40 and M40 households. The programme is one that falls under the banner of the MDEC Saya Digital campaign which includes four focus pillars:
- SayaDigital For Daily Work
- SayaDigital Empowers Careers
- SayaDigital Generates Income
- SayaDigital Expands Business
eRezeki emphasises the third focus pillar of the Saya Digital campaign which is to generate income opportunities in high-value sectors that include the creative sector; repairs, installation and maintenance including domestic services; tour and travel services; healthcare and lifestyle; professional digital services, advertising, promotion, and marketing; education and training; as well as distribution services.
The CEO of MDEC stated that the agency has consistently introduced campaigns and programmes which aim to create high-value employment opportunities for the Rakyat while at the same time, encouraging the development and growth of the sharing economy in Malaysia.
He noted that as announced during the launch of the national strategic initiative, Malaysia Digital (MD), MDEC’s inclusive approach towards fostering a conducive ecosystem for local entrepreneurs and global champions will help increase the contribution from the digital economy to the nation’s Gross Domestic Product (GDP).
Effective collaboration with MDEC partners, especially in encouraging sharing economy activities including the gig economy, is expected to further democratise and facilitate access towards increased participation in the high-growth digital economy.
MDEC will work closely with 10 strategic partners from relevant high-value sectors that have been appointed based on set criteria and their capacity in providing high-income jobs. Throughout the duration of the eRezeki programme, MDEC’s strategic partner will conduct training and provide placement for gig workers through online platforms and physical sessions.
The 10 strategic partners for eRezeki have been appointed based on their involvement in high-value sectors as identified by MDEC. Furthermore, these companies were selected from a pool of 137 MDEC strategic partners approved by the Crowdsourcing Committee.
In 2014, the Crowdsourcing Committee led by the Ministry of Communication and Multimedia (K-KOMM) was mandated by the Digital Malaysia Steering Committee to focus on validating sharing economy platforms in Malaysia.
The eRezeki programme was introduced in 2015 to provide an avenue for the urban B40 and M40 communities to earn additional income from the digital platform. The programme was also identified as a key programme under the Twelfth Malaysia Plan (RMK12).
Since its introduction, eRezeki has successfully trained a total of 312,735 participants to take advantage of the digital platform and earn an income online, generating a total collective income worth RM2.51 billion as of December 2021.
Caltech engineers collaborated with the University of Southampton in England to design an ultrahigh-speed data transfer chip. The chip integrates both an electronics chip and a photonics chip which uses light to transfer data. It took four years to complete, from the initial idea to the final test in the lab.
“As the world becomes increasingly connected, and every device generates more data, it is exciting to show that we can achieve such high data rates while burning a fraction of power compared to the traditional techniques. We had to optimise the entire system all at the same time, which enabled achieving a superior power efficiency,” said Azita Emami, the Andrew and Peggy Cherng Professor of Electrical Engineering and Medical Engineering, Executive Officer for Electrical Engineering and senior author of the paper.
The research paper is titled “A 100Gb/s PAM4 Optical Transmitter in A 3D-Integrated SiPh-CMOS Platform Using Segmented MOSCAP Modulators.” Rockley Photonics and the U.K. Engineering and Physical Sciences Research Council funded this research.
The need for high processing power and transmission creates the inevitable excess heat. Heat is the enemy of the speed and the amount of data a computer device can manage. It happens not just for personal computers or laptops but also for data centres.
While a laptop may heat up while when in use, servers in data centres also heat up as they work – but at a much grander scale. Therefore, managing heat in the data centre is essential. The less heat, the more computing power is generated and the greater the volume of information it can handle.
Hence, engineers tried to find a way to increase the processing speed while keeping the heat low. The solution was to design and co-optimise an electronics chip and a photonics chip. The chip is innovative because it integrates an electronic circuit essential for data processing, combined with a photonics chip which is the most efficient piece for data transmission.
The Caltech/Southampton integrated chip can transmit 100 gigabits of data per second! Moreover, the integrated chip generates minimal heat, producing just 2.4 pico-Joules per transmitted bit. The result increases the electro-optical power efficiency by 3.6 times compared to the current technology.
Handling Next-level Computing
In the future, data centres will manage very high volumes of data compared to today. The new design integrated chip will answer a continuous demand for increasing data communication speed in data centres and high-performance computers.
“As the computing power of the chips scale, the communication speed can become the bottleneck, especially under stringent energy constraints,” Emami explained.
The high-demand data transmission and processing from a data-demanding task, such as a video call, streaming a movie, or playing an online video game, need high processing power in the data centre.
“There are more than 2,700 data centres in the U.S. and more than 8,000 worldwide, with towers of servers stacked on top of each other to manage the load of thousands of terabytes of data going in and out every second,” says a Caltech graduate student Arian Hashemi Talkhooncheh (MS ’16), lead author of a paper describing the two-chip innovation that was published in the IEEE Journal of Solid-State Circuits.
Both in normal circumstances and in times of crisis, Thai people are known to generate a lot of innovative ideas and continue to develop products that make their lives better. This encompasses and encapsulates the nation’s most recent campaign, Innovation Thailand, which promotes Thai creativity to a global audience.
The Innovation Thailand Alliance consists of partners from a variety of sectors including government agencies, private organisations, educational institutions, and civil societies. Through it, the National Innovation Agency of Thailand (NIA), is expanding the scope of its Innovation Thailand platform.
The fundamental goal is to use national/local ideas to revitalise the nation by promoting awareness of and pride in inventive Thai works. Allies will serve as ambassadors in the effort to promote Thailand as an innovative nation. They will be able to exchange knowledge and skills with one another at the same time.
All stakeholders are enthusiastic to help Thailand achieve its goal of being one of the world’s top 30 innovative nations by 2030 and turning Thailand into an innovation-driven country.
Innovation Capabilities of Thai People
The National Innovation Agency’s mission is to support and develop Thailand’s innovation system to promote economic restructuring and competitive enhancement.
“We began the Innovation Thailand campaign before COVID-19 because we faced a significant challenge in terms of how not only Thai people but also global clients, perceive the nation’s unique products and services,” explains Dr Pun-Arj.
Even though this may not be directly related to innovation, the NIA has attempted to communicate and brand national innovation in such a way that it can be easily connected not only with Thais but also with international customers – this is how they started the Innovation Thailand platform.
Thailand is a tourist destination and one of the top three in the world, which has caused the country to innovate their lifestyle as well as their livelihood.
Thai culture places a high value on craftsmanship and attention to detail. Thai innovation for artful living is a process created exclusively by the fusion of modern technology and knowledge passed down from one generation to the next.
“We have created ingenious solutions through this method that enhances the standard of living in terms of society, prosperity, health, safety, and the environment,” Dr Pun-Arj furthers.
They began to construct a community to exchange ideas, develop, and manage innovation that would result in delivering some information or any significant strategic movement that the government could initiate.
They are recruiting more Chief Innovation Officers from not only the private sector but also the public sector and universities, as part of their primary target group.
Dr Pun-Arj is looking to enhance the opportunities brought in by innovation, particularly at the regional level in the city. This is because they are working not only on economic development but also on the skillset of the social innovation division and platform.
“As a result, our primary focus is on regionalisations of innovation possibilities, as well as startups – innovation-based firms,” reveals Dr Pun-Arj.
He believes that every successful community is built upon a robust and well-functioning infrastructure. Hence, Thailand’s industries and infrastructure will be modernised to meet upcoming challenges.
“In the past, one of our five-year priorities included buildings which we identify as system integrators. As the system and ecosystem become more robust, we are transitioning from system integrators to full core facilitators.”
He emphasised the need to consider the impact of being a system integrator before transforming themselves into focal facilitators. Furthermore, the country wants to make better use of the enormous resource of innovation in universities to conduct research and technology in collaboration with other organisations across the world.
Through the City Innovation Index, which focuses primarily on districts and cities, the NIA promotes and monitors the constant innovation and evaluation of diverse organisations. Periodically, they performed surveys in particular industries to evaluate and propose answers for the difficulties they face.
A strong innovation strategy will evaluate the overall objectives, the target portfolio for innovation initiatives, and the process for allocating the necessary resources. The portfolio clearly defines innovation-critical benchmarks and bounds. Therefore, the nation will become democratic and transparent.
“I believe the government’s most essential innovation strategy focuses on three specific concerns. You must have highly strong and capable businesses of all sizes that will establish a very strong enterprise on its own. And secondly, you must have laws and regulations,” Dr Pun-Arj asserts. “In addition, governance is also required and identifying future risks.”
Thailand is struggling with several issues, including inequality, which includes limited access to public services, digital technology, education, and environmental problems. High manufacturing costs and new types of competition in the global supply chain became challenges for Thailand, with this, innovation has emerged as the country’s answer.
Additionally, there are many challenges in terms of digital transformation and government service and the nation is pushing for innovation that can deliver a good policy and deploy it into practice.
In the previous five-year plan, NIA primarily focused on the job of system integrator into four core facilitators. “That is why the short-term strategy is to train management in the methods, programmes, and activities that we have implemented over the last five years.”
NIA is primarily concentrated on strengthening the potential of regional innovation in several key sectors such as new technologies, assistance for startups, venture capital creation or investment for innovation, and internationalisation of Thailand’s innovation.
Dr Pun-Arj envisions a stronger Thai economy and society, with innovation playing a key role in propelling it. The Bio-Circular-Green Economy (BCG) model is a plan for the country’s growth and post-pandemic recovery. The BCG model focuses on four strategic sectors: agriculture and food, wellness and medicine, energy, materials, and biochemicals and tourism and creative economy.
It emphasises using science, technology, and innovation to turn Thailand’s comparative advantage in biological and cultural diversity into a competitive advantage. The primary aim is to support the sustainability of biological resources, develop local economies and communities and make Thai BCG industries more competitive and resilient to societal changes.
The approach is meant to make Thailand’s economy, society, and environment more sustainable and inclusive. “To achieve the 2030 goal, we must work incredibly hard to encourage innovation in this BCG economy. At the same time, the national policy needs to be improved.”
Dr Pun-Arj has been recognised as a pioneer in the domains of foresight and innovation management in the country. He counsels anyone aspiring to be a great innovator to fully comprehend the concepts of uncertainty and failure.
“Innovation will help us grow as a community or nation by making ourselves and others aware of the importance of innovation,” Dr Pun-Arj concludes.
The Indian Space Research Organisation’s (ISRO) Polar Satellite Launch Vehicle (PSLV) has launched nine satellites, including eight nanosatellites, into space from the first launch pad at the Satish Dhawan Space Centre in Andhra Pradesh.
The 44-metre-long rocket’s primary payload is the Earth Observation Satellite-6 (EOS-6) or Oceansat-3, a third-generation satellite to monitor oceans. It is a follow up to OceanSat-1 or IRS-P4 and OceanSat-2 launched in 1999 and 2009, respectively. Oceansat-3 will provide data about ocean colour, sea surface temperature, and wind vector data for oceanography, climatology, and meteorological applications.
The Oceansat-3 was placed in the polar orbit at a height of about 740 kilometres above sea level. While it weighs approximately 1,100 kilogrammes, which is only slightly heavier than Oceansat-1, for the first time in this series, it houses three ocean observing sensors. These include an Ocean Colour Monitor (OCM-3), Sea Surface Temperature Monitor (SSTM), and Ku-Band scatterometer (SCAT-3). There is also an ARGOS payload, a press release mentioned.
The OCM-3, with a high signal-to-noise ratio, is expected to improve accuracy in the daily monitoring of phytoplankton. This has a wide range of operational and research applications including fishery resource management, ocean carbon uptake, harmful algal bloom alerts, and climate studies. The SSTM will provide ocean surface temperature, which is a critical ocean parameter to provide various forecasts ranging from fish aggregation to cyclone genesis and movement. Temperature is a key parameter required to monitor the health of the coral reefs, and if needed, to provide coral bleaching alerts. The Ku-Band Pencil beam scatterometre will provide a high-resolution wind vector (speed and direction) at the ocean surface, which will be useful for seafarers, including fishermen and shipping companies. Data regarding temperature and wind is also particularly important for ocean and weather models to improve their forecast accuracies.
ARGOS is a communication payload jointly developed with France and it is used for low-power (energy-efficient) communications including marine robotic floats (Argo floats), fish-tags, drifters, and distress alert devices valuable in search and rescue operations.
The Minister of State (Independent Charge) for Science and Technology, Jitendra Singh, stated that ISRO will continue to maintain the orbit of the satellite and its standard procedures for data reception and archiving. Major operational users of this satellite include Ministry of Earth Sciences (MoEs) institutions such as the Indian National Centre for Ocean Information Services (INCOIS) and the National Centre for Medium Range Weather Forecasting (NCMRWF).
INCOIS has also established a state-of-the-art satellite data reception ground station within its campus with technical support from the National Remote Sensing Centre (ISRO-NRSC). Singh asserted that ocean observations such as this will serve as a solid foundation for India’s blue economy and polar region policies. A representative from MoES noted that the launch of Oceansat-3 is significant as it is the first major ocean satellite launch from India since the initiation of the UN Decade of Ocean Science for Sustainable Development (UNDOSSD, 2021-2030).
The Indian Space Research Organisation is the national space agency of India, headquartered in Bengaluru. It operates under the Department of Space, which is overseen by the country’s Prime Minister.
Astronomers from the California Institute of Technology (Caltech) have completely automated the classification of 1,000 supernovae using a machine-learning (ML) algorithm. The Zwicky Transient Facility, or ZTF, a sky survey instrument located at Caltech’s Palomar Observatory, collected data that the algorithm was then used to analyse.
“We needed a helping hand, and we knew that once we trained our computers to do the job, they would take a big load off our backs,” says Christoffer Fremling, a staff astronomer at Caltech and the mastermind behind the new algorithm tagged as SNIascore.
A year and a half after SNIascore classified its first supernova in April 2021, they are approaching the pleasant milestone of 1,000 supernovae. Every night, ZTF scans the night sky for alterations known as transient events. This covers everything, from asteroids in motion to recently devoured stars by black holes to exploding stars known as supernovae.
ZTF notifies astronomers worldwide of these transient events by sending out hundreds of thousands of alerts each night. Other telescopes are then used by astronomers to monitor and learn more about the nature of the shifting objects. Thousands of supernovae have so far been found thanks to ZTF data.
Members of the ZTF team cannot organise all the data on their own due to the constant flow of data that comes in every night. According to Matthew Graham, project scientist for ZTF and research professor of astronomy at Caltech, “the traditional notion of an astronomer sitting at the observatory and sieving through telescope images carries a lot of romanticism but is drifting away from reality.”
Instead, to help with the searches, the team has created ML algorithms. SNIascore was created to categorise potential supernovae. There are two main categories of supernovae: Type I and Type II. In contrast to Type II supernovae, Type I supernovae are devoid of hydrogen.
When material from a companion star flows onto a white dwarf star, causing a thermonuclear explosion, a Type I supernova is produced. When a massive star collapses due to its own gravity, a Type II supernova happens. Type Ia supernovae, or the “standard candles” in the sky, can be classified by SNIascore. These are dying stars that explode with a steady-state thermonuclear blast.
Astronomers can gauge the universe’s expansion rate thanks to Type Ia supernovae. Fremling and colleagues are currently expanding the algorithm’s capabilities to classify additional types of supernovae soon.
Every night, after ZTF has recorded sky flashes that may be supernovae, it sends the data to the SEDM spectrograph at Palomar, which is in a dome a short distance away (Spectral Energy Distribution Machine).
To determine which supernovae are likely Type Ias, SNIascore collaborates with SEDM. As a result, the ZTF team is working quickly to compile a more trustworthy data set of supernovae that will allow astronomers to conduct additional research and, ultimately, learn more about the physics of the potent stellar explosions.
“SNIascore is incredibly precise. We have observed the performance of the algorithm in the real world after 1,000 supernovae” says Fremling. Since the initial launch in April 2021, they have found no clearly misclassified events, and they are now planning to implement the same algorithm with other observing facilities.
According to Ashish Mahabal, who oversees ZTF’s machine learning initiatives and is the centre’s lead computational and data scientist at Caltech, their work demonstrates how ML applications are maturing in near real-time astronomy.
The SNIascore was created as part of the ZTF’s Bright Transient Survey (BTS), which is currently the most comprehensive supernova survey available to the astronomical community. The entire BTS dataset contains nearly 7000 supernovae, 90 per cent of which were discovered and classified by ZTF while the remaining 10 per cent were contributed by other groups and facilities.
The Victoria University of Wellington’s division of Science, Health, Engineering, Architecture, and Design Innovation (SHEADI) will inaugurate a Centre of Data Science and Artificial Intelligence in the first half of 2023.
According to a statement from the University, the centre will offer areas of expertise in modelling and statistical learning; evolutionary and multi-objective learning; deep learning and transfer learning; image, text, signal, and language processing; scheduling and combinational optimisation; and interpretable AI/ML learning.
These technological themes will be applied across a wide range of areas including primary industry, climate change and environment; health, biology, medical outcomes; security, energy, high-value manufacturing; and social, public policy, and ethics applications. On top of traditional research, the centre will also establish a pipeline of scholarships/internships for Maori students, train early career researchers, and focus on industry, intellectual property, and commercialisation.
The centre will build on the current success and international leadership in this space at the University, the Pro Vice-Chancellor of the division, Ehsan Mesbahi, stated. The institute is continuing to grow its national and international partnerships to create local and global value. The centre will provide a distinctive identity for the growing excellence and innovation in data science and AI research at the University, capabilities which domestic and global partners are increasingly demanding across a vast array of application domains.
In May, the University announced it would offer the first undergraduate major in Artificial Intelligence in the country. It provides students with knowledge of AI concepts, techniques, and tools. They learn how to apply that knowledge to solve problems, combined with programming skills that will enable them to build software tools incorporating AI technology that will help shape the future.
Students studying AI at the University are taught by academics from its internationally renowned AI/ML research group, which is one of the largest in the southern hemisphere. The major is designed to open doors for graduates to opportunities nationally and around the world. There has been an increase in the adoption of AI technologies globally, and a growing demand for people who can apply AI techniques to address a wide range of problems, which the University aims to address.
After completing their degree, graduates will have a wide variety of career options, such as AI scientist, business consultant, AI architect, data analyst, machine learning engineer, and robotic scientist among others. They will also have the option to further their study through the University’s Master of Artificial Intelligence.
OpenGov Asia reported earlier that New Zealand’s Education Technology (EdTech) is set to become one of the country’s key industries. Worth NZ$ 173.6 million in 2020, EdTech software is poised to grow to NZ$ 319.6 million by 2025. At the heart of the digital transformation of education technology has been the pandemic. COVID-19 is seen as the driving force behind the digital transformation of learning, permanently changing the way education is consumed and delivered — right from preschool through post-tertiary education and lifelong learning. The global EdTech market size was valued at US$ 254.8 billion in 2021. Experts believe the market will reach US$ 605.4 billion by 2027.