ServiceNow recently released the results of its “The Global CIO Point of View”, and found that the adoption of machine learning is on the rise in the enterprise. However, it was revealed that Singaporean respondents are lagging behind their peers in Asia-Pacific, North America and Europe in adopting machine learning.
The report surveyed 500 CIOs from around the world with almost 10% from Singapore, to uncover the competitive benefits of adopting machine learning and hear how these leaders are accommodating digital labour, including creating new jobs that focus on work with intelligent machines.
A third (32%) of CIOs in Singapore surveyed said their organisation are using machine learning in some or all parts of their business, compared to counterparts in Australia (59%) and New Zealand (49%). 3 key areas were identified as barriers to adoption and maturation of automated decision making in their organisation:
· 70% of CIOs in Singapore cite outdated processes and insufficient data quality (65%) as a substantial barrier to adoption.
· 35% cite the lack of skills to manage and maintain smart machines, and a lack of budget for new skills (61%).
· Almost 40% of respondents in Singapore feel that there is a lack of budget allocated for new technology in their organisation.
More than half (52%) of CIOs in Singapore surveyed agree on the ability of machine learning to make complex decisions that are imperative to the success of their organisation, with 54% respondents citing that machine learning as a strategic focus for their organisation. The enthusiasm for this technology is driven by widely-held confidence by CIOs that greater automation through machine learning will increase the accuracy (80%) and speed of decisions (87%).
Machine learning software promise to analyse and improve its own performance without direct human intervention, giving it the ability to make increasingly complex decisions as it learns:
· 87% of Singapore CIOs cite profitability growth and top-line growth as the area that would benefit the most from decision automation over the next 3 years.
· 59% said that product development and research are automated to an extent but still requires substantial human intervention.
· 41% of CIOs expect decision automation brought about by machine learning to allow more room for developing new products and services for the organisation.
· 76% said that routine decision making takes up a meaningful amount of employee and executive time especially in departments like Finance and Human Resources (57%). CIOs in Singapore expect decision automation to contribute to their organisation’s employee productivity by 41%, and talent recruitment and retention by 35%.
The survey also found that 28% of CIOs in Singapore are making some investments in machine learning currently, and this number is expected to grow within the next few years as Singapore gears towards a Smart Nation. Half of CIOs in Singapore say that they are making organised changes to processes or leadership to prepare their organisation for machine learning adoption.
Machine learning is not just about the right technology – organisations must train employees to work with machines and redefine their job scope to accommodate the necessary skillsets, which are diverse across multiple disciplines from engineering to data science, critical thinking to problem solving.
Organisations in Singapore have shown that they are willing to make such changes to make rapid progress with machine learning:
· 17% of CIOs in Singapore have already set plans for workforce size and role changes within their organisation.
· More than half of CIOs in Singapore (52%) have begun to redefine job descriptions to include a focus on work involving intelligent machines – well ahead of Asia-Pacific peers in Australia (43%) and New Zealand (27%).
· Almost 40% of respondents said that they have developed a roadmap for future process change.
Achieving Value from Machine Learning
ServiceNow recommends five steps on how CIOs can jumpstart their journey to digital transformation with machine learning:
1) Build the foundation and improve data quality. One of the top barriers to machine learning adoption is the quality of data. If machines make decisions based on poor data, the results will not provide value and could increase risk. CIOs must utilise technologies that will simplify data maintenance and the transition to machine learning.
2) Prioritise based on value realisation. When building a roadmap, focus on those services that are most commonly used, as automating these services will deliver the greatest business benefits. At a high level, where the most unstructured work patterns that could benefit from automation? Commit to re-engineering services and processes as part of this transformation, and not simply lifting and shifting current processes into a new model.
3) Build an exceptional customer experience. A core benefit of increasing the speed and accuracy of decision-making lies in creating an exceptional internal and external customer service. When creating a roadmap to implement machine learning capabilities, imagine the ideal customer experience and prioritise investment against those goals.
4) Attract new skills and double down on culture. CIOs must identify the roles of the future and anticipate how employees will engage with machines – and start hiring and training in advance. CIOs must build a culture that embraces a new working model and skills. That means establishing guidelines for executives, engineers, and front-line workers about their work with machines and the future of human-machine collaboration.
5) Measure and report. The benefits of machine learning may be clear to CIOs, but other C-level executives and corporate boards often need to be educated on its value. CIOs must set expectations, develop success metrics prior to implementation, and build a sound business case in order to acquire and maintain the requisite funding. CIOs should also consider building automated benchmarks against peers in their industry and other companies that are of similar size.
To improve Singapore’s biologics manufacturing capabilities, top pharmaceutical companies will collaborate with research groups from the Agency for Science, Technology and Research (A*STAR), Singapore Institute of Technology (SIT), National University of Singapore (NUS), Nanyang Technological University, Singapore (NTU Singapore) and its innovation and enterprise company, NTUitive.
Through the Biologics Pharma Innovation Programme Singapore (BioPIPS), a consortium founded by A*STAR with assistance from the Singapore Economic Development Board (EDB), their relationship will be formally established.
BioPIPS aims to expand Singapore’s biologics production capabilities, including those for vaccines and recombinant therapeutic proteins. Biologics and vaccinations were crucial in averting severe sickness and saving lives worldwide during the COVID-19 pandemic.
Leading industry professionals and Singapore’s research ecosystem will join forces through the consortium to increase manufacturing productivity, boost operational effectiveness, and meet sustainability objectives. The consortium’s goal is to best-in-class and position Singapore’s biologics manufacturing capabilities for the introduction of new products and cutting-edge production techniques.
Professor Lim Keng Hui, Assistant Chief Executive, Science and Engineering Research Council, A*STAR stated that new opportunities will arise as the biomanufacturing industry goes through significant changes brought on by the rapid pace of digitalisation, Industry 4.0, and the need for greater sustainability.
A*STAR seeks to contribute its R&D capabilities through BioPIPS to help the local biomanufacturing industry become more agile and better positioned to benefit from new products and technologies. Also, in its Research, Innovation, and Enterprise 2025 Plan, Singapore prioritises biopharmaceutical production.
BioPIPS expands on the consortium concept created by the Pharma Innovation Programme Singapore (PIPS), which was intended to strengthen Singapore’s capabilities in the production of small molecule pharmaceuticals consisting of chemical compounds.
Based on the success of PIPS, BioPIPS seeks to strengthen Singapore’s innovative capabilities in the production of biologics and vaccines by utilising the strengths of the top pharmaceutical firms and academic institutions.
The programme will create cutting-edge production technologies and solutions that are highly productive, sustainable, and innovative. Singapore is eager to expand collaborations with businesses that share its values to enhance its status as a centre to produce biopharmaceuticals worldwide.
BioPIPS will specifically feature three workstreams: First is the Sensing and Modelling Workstream intends to use smart sensors, mechanistic modelling, and machine learning to provide streamlined and quicker procedures. Data analytics will make it possible to effectively translate acquired process information into performance enhancements, which will benefit the manufacturing process.
Second is the Sustainability Workstream concentrates on addressing sustainability issues in the production of biologics and vaccines, which frequently require single-use (disposable) equipment because of the ultra-sterile conditions required for product purity. To address this challenge, this workstream will investigate the use of innovative materials, circular economy strategies, and models to encourage more resilient and sustainable supply chains.
And the third is the Compliant Agility Workstream which aims to increase productivity in manufacturing facilities while preserving compliance status by eliminating manual operations and utilising tools like robotics and cutting-edge analytics.
The Manufacturing 2030 vision of Singapore, which intends to anchor leading manufacturing operations to increase the nation’s manufacturing value-add by 50% from 2020, is consistent with BioPIPS.
The solutions created by BioPIPS will also improve Singapore’s capacity to meet the rising demand for biologics and vaccines around the world and give local pharmaceutical firms the tools they need to expand and react more quickly to pandemics in the future.
Science, engineering, technology, and innovation give people the power to develop a country and its quality of life. Investment in these areas is vital for economic growth and social progress.
Research and development in smart tech can help build greener cities with better access to essential systems and services for all. Moreover, infrastructure development, technology transfer and public and private R&D must be supported and regulated by good policies if they are to work.
To ensure scientific progress is encouraged and embraced at all levels of government decision-making, the Academy of Sciences Malaysia (ASM) is tasked with giving strategic advice to the government and stakeholders, as well as pursuing excellence in science, engineering, and technology for the benefit of everyone.
Malaysia’s S.E.T.I. Initiatives
One of the contributions of the ASM is to incorporate interactive learning of STEM into the pedagogy of education in Malaysian schools. “To see the performance and results, inquiry-based science education (IBSE) will create an interactive learning environment in the physical classroom. Therefore, we want to have this kind of ecosystem and environment in schools.”
She is eager to see more collaboration between tertiary education and industry so that any courses and curricula provided by universities are both industry-required and future-proof. This is why their organisation is working with the government to create collaboration between industry and academia. “I believe that will help us advance more.”
ASM is currently working with the Malaysian government, in particular the central agency, to begin evaluating public decision-making universities based on data. Hence, using facts, metrics, and data to inform strategic business decisions that align with goals, objectives, and initiatives is the most effective data-driven decision-making.
Making data-driven decisions the norm within an organisation is necessary to foster a climate that values scepticism and curiosity. “Data is the starting point of conversations at every level, and people improve their data skills through practice and application,” says Hazami.
At its core, this calls for a self-service model where users can access the data they require while maintaining a balance between security and governance. Additionally, it necessitates proficiency, resulting in opportunities for training and development for workers to acquire data skills.
Additionally, ASM has developed a Responsible Conduct of Research module which acts as a benchmark to have this code of ethics in research taught to all graduates, whether they are in hard sciences or the social sciences.
“We want that because every piece of knowledge we incorporate in the future will be based on good science and value. Therefore, we must consider bioethics, biosecurity, and training modules on ethics in research,” Hazami explains.
ASM has recently directed its scientists to provide solutions in close collaboration with the ministries. Citing as an example is their committee on water, energy, health, agriculture, and biodiversity (WEHAB++). For instance, when Malaysia faces issues such as the price hike for chicken feed which causes societal dissatisfaction, solutions to food security issues such as this can be provided by the Academy’s expert network through science and technology directly to the government and stakeholders.
In addition to providing policies and strategies to decision-makers, the ASM also teaches them how to carry out those policies and strategies by applying their knowledge.
Hazami highlighted the growing movement called “Open Science” which aims to open scientific data and research to the public. In addition to democratising knowledge, the international principle of making research data findable, accessible, interoperable, and reusable (FAIR) will support open scientific inquiry and integrity, facilitate improved research management, and encourage data-intensive research.
Unprecedented insights and solutions to local, regional, and global complex challenges are made possible by integrating numerous data streams and enormous datasets across numerous disciplines.
Through the Malaysia Open Science Alliance, the Ministry of Energy, Science, Technology, Environment & Climate Change (MESTECC), now known as the Ministry of Science, Technology, and Innovation (MOSTI) and the ASM are laying the groundwork for the realisation of the Malaysia Open Science Platform (MOSP), a strategic transformative project to strengthen Malaysia’s STI Collaborative Ecosystem.
“The Malaysia Open Science Platform or MOSP aims to connect raw research data, then collaborate and share,” Hazami explains. “By creating a reliable platform that enables accessibility and sharing of research data aligned to national priorities and international best practices, this initiative seeks to transform Malaysia’s research data into a valuable national asset.”
Hazami is passionate about science and technology because it has the power to change the nation. “I’m attempting to make a change, and one of those changes is in the area of science and technology.”
For her, the most meaningful contribution in her 26 years in the academy was when the government accepted 80% of their recommendations for transforming and creating change and an ecosystem. “For now, our current areas of focus are strengthening governance, the innovation ecosystem and the sustainability of R&D funding.”
A change in paradigm towards a growth mindset among policymakers, scientists and the younger generations is her greatest challenge and greatest passion. She believes that when decision-making is based on data, it can provide the best solution possible.
Hazami strongly believes that Malaysian women are more than capable of pursuing careers in science and technology. They hope to have a strong support network to help them succeed in those fields, whether as practitioners or scientists.
“Our goal is flexibility. We need to have an open work environment and open innovation because we can work from home as researchers and scientists. We are more adaptable now. If we can accomplish this, more and more women will contribute to the workforce more effectively,” she says emphatically.
By reaching out to the top management and demystifying technical terms, OpenGov Asia, a steadfast supporter of Malaysia’s digital transformation journey and an advocate for citizen-centric development, will continue to help bring about change. Hazami concludes by urging top leaders to practice a growth mindset for the betterment of the country.
Hazami strongly believes that over the course of the next five years, ASM will continue to serve as a catalyst for change and create the science, technology, innovation, and economy (STIE) ecosystem for the entire nation towards the full potential of digital transformation, including the Malaysian transformation and the humanisation of the economy. “Leaders’ courageous decisions pave the road to successful digital transformation.”
The Institute for Digital Molecular Analytics and Science (IDMxS), which aims to promote the science of analysing biological molecules (biomolecules) using information technology and data science, was recently established by Nanyang Technological University, Singapore (NTU Singapore). This could pave the way for real-time environmental or health data monitoring and analysis, like how real-time traffic data can be obtained on mobile devices.
IDMxS, NTU’s newest national Research Centre of Excellence (RCE), is funded with a total investment of over S$160 million over 10 years, with the majority coming from NTU and the National University of Singapore and S$94 million coming from the Singapore Ministry of Education.
Digital molecular analytics, a novel scientific discipline that analyses individual molecules to discover, identify, and measure biomolecules with extraordinary accuracy, is at the core of the work done at IDMxS.
Such a science will open many new areas of research, such as the creation of diagnostic testing capabilities that may then inspire the creation of new technologies and commercial spinoffs, including blood testing kits that can generate findings instantly using nothing more than a smartphone camera.
The interdisciplinary centre is anticipated to house 100 full-time researchers and employees with backgrounds ranging throughout the spectrum of engineering and science, from optics, computer science, and artificial intelligence (AI) to biology, medical technology, and chemistry.
Postgraduate students from NTU will have exceptional chances for interdisciplinary education and training that spans the molecular sciences and information technology through the graduate programme of IDMxS. More than 30 PhD students will receive support from the Centre, four of whom have already begun their studies. As clinical diagnostics become more digital, IDMxS will also create continuing education programmes aimed at developing and modernising the healthcare workforce.
By fusing the fields of biology and information technology – which have each recently undergone revolutionary changes – IDMxS will create the new science of digital molecular analytics. The objective is to develop tools that can track environmental data, such as air and water quality, and health information, like viral infections or molecular signatures that signal the existence of a disease, in real-time. To develop innovative solutions for issues with health, sickness, and environmental monitoring, this process begins with the development of fundamental science.
The ability to simultaneously gather a variety of data types from a biological sample and use tools like AI and machine learning algorithms to analyse and interpret the enormous volume of data that would otherwise be impossible for humans to make sense of is at the core of IDMxS’ digital molecular analytical strategies. The research centre intends to someday spin out solutions like widely used software using digital molecular analytics.
Moreover, making blood sample test kits is one potential use for digital molecular analytics that IDMxS is investigating. The goal of this research is to create a tool that can recognise the various chemicals responsible for illnesses, infections, and diseases.
This suggests that a physician might someday be able to take a blood sample, analyse it with a smartphone camera, and obtain an accurate, real-time reading next to the patient at the doctor’s table. A similar idea might do away with the necessity for additional time-consuming laboratory tests.
The extensive surveillance of illnesses spread by insects like dengue and malaria is another project that is now under development. Researchers can one day create an imaging system that can swiftly detect and monitor dengue among the mosquito population by recognising and analysing the chemicals that make up the dengue virus. Such studies might also be used to track other airborne infections and infectious diseases, in addition to insect-borne diseases that affect urban health.
The Infocomm Media Development Authority (IMDA) announced the launch of a S$5 million Virtual Production Innovation Fund to support the local media industry in developing the capabilities needed to harness virtual production technology to maintain the local media industry’s competitiveness as the international partner of choice to create premium IP.
To enable the camera to capture actors and visual effects in real time, virtual production technology uses LED panels to produce realistic background landscapes for television or movie sequences driven by video game engines. The site, road closures, location costs, permits, weather, set construction, and space rental will no longer be necessary for production.
With the help of technology, Singapore has a rare chance to get over some of its physical constraints, like the lack of suitable locations for on-location filming and room for large sets.
The ability of the storytellers to reproduce historical sites or any other environment will allow them to generate content that was previously impossible. This will revolutionise the creative process of storytelling.
The adoption of virtual production by the media sector is further encouraged by the strong signals emanating from international media giants that this technology will be widely employed in the creation of movies and television shows and will become the standard in the next years.
To strengthen capabilities in virtual production and ensure that the media companies and talent can keep up with international production methods to remain competitive, IMDA will pursue a two-pronged strategy to prepare the media sector for the future.
The National Film and Television School (NFTS) in the UK has collaborated with IMDA to adapt the school’s Certificate in Virtual Production course to the requirements of the sector to train media professionals to use this technology.
From December 2022 to April 2023, fifteen professors, trainers, and media professionals from Singapore will participate in virtual lectures and undergo hands-on training at NFTS’s virtual production facilities.
Over the course of the following 12 months, several masterclasses and workshops given by professionals from the business will be offered. A Singapore-based firm that specialises in developing immersive experiences, held a display to exhibit how virtual production can enhance imaginative storytelling.
Hands-on demonstrations will be given by guest speakers from virtual production leaders. They will discuss and explore best practices in the workflow to inventive ways to use different technology in storytelling.
Local businesses can also test out virtual production to realise their creative ideas for brief pieces of content, such as music videos, short films, and brand advertisements, among others. Companies can submit their suggested content concepts from now until February 15, 2023.
The capacity to best utilise virtual production technologies to realise a project’s creative vision will be taken into consideration while evaluating proposals.
Additionally, IMDA is working to organise an industry challenge with an internationally renowned gaming company. This challenge will encourage organisations to experiment with and use the cutting-edge real-time 3D creation tool developed by this gaming company. Currently, the aforementioned tool powers globally popular video games.
Teams whose concepts are shortlisted will receive personalised coaching and training from the gaming company. In addition, they will receive prize money from IMDA to assist with content creation.
Since virtual production technology has advanced in recent years, the country is now able to produce visual effects in real-time without building actual sets, thereby overcoming the constraints of scale, complexity, and space.
India will Chair the Global Partnership on Artificial Intelligence (GPAI), an international initiative to support the responsible and human-centric development and use of artificial intelligence (AI).
The Minister of State for Electronics and Information Technology (MeitY), Rajeev Chandrasekhar, represented India virtually at the GPAI meeting held in Tokyo for the symbolic takeover from France, which is the outgoing Council Chair.
Chandrasekhar stated that the country would work in close cooperation with member states to put in place a framework to fully exploit the power of AI for the good of consumers across the globe. This means ensuring there are adequate guardrails to prevent misuse and user harm.
According to the Minister, India is building an ecosystem of modern cyber laws and frameworks based on three principles: openness, safety, and trust and accountability. With a National Programme on AI and National Data Governance Framework Policy (NDGFP) in place as well as one of the world’s largest publicly accessible datasets programmes in the works, the Minister reiterated India’s commitment to using AI to catalyse innovation and create good, trusted applications.
The NDGFP strives to ensure equitable access to non-personal data and improve institutional frameworks for government data sharing, promote principles around privacy and security by design, and encourage the use of anonymisation tools. It also aims to standardise the way the government collects and manages data. The NDGFP along with an envisaged Indian Data Management Office (IDMO) shall catalyse the next-gen AI and data-led research and startup ecosystem.
Through the datasets programmes, anonymised non-personal data will be available for the entire AI ecosystem. The AI market globally was nearly US$ 59.67 billion in 2021 and is projected to grow at a compound annual growth rate (CAGR) of 39.4% to reach around US$ 422.37 billion by 2028. With the rapid growth of AI and machine learning (ML), experts predict that most businesses will shift to AI-powered systems, apps, security systems, data analysis, and other applications in the future. AI is expected to add US$ 967 billion to India’s economy by 2035 and US$ 450–500 billion to India’s GDP by 2025, accounting for 10% of the country’s US $5 trillion GDP target.
A government official outlined India’s priorities as Chair GPAI next year, stating that the country would focus on promoting greater involvement of the global south in the conversation regarding the use of AI for solving societal problems. The country has also emphasised the need for the responsible and ethical use of AI.
GPAI is a congregation of 25 member countries, including the United States, the United Kingdom, the European Union, Australia, Canada, France, Germany, Italy, Japan, Mexico, New Zealand, the Republic of Korea, and Singapore. In 2020, India joined the group as a founding member. It is a first-of-its-type initiative that aims to better understand the challenges and opportunities around AI. It works in collaboration with partners and international organisations, leading experts from industry, civil society, governments, and academia. These stakeholders collaborate to promote the responsible evolution of AI and guide the development and use of the technology, grounded in human rights, inclusion, diversity, innovation, and economic growth.
The Singapore Tourism Board (STB) and Singapore Association of Convention & Exhibition Organisers & Suppliers (SACEOS) released the MICE Sustainability Roadmap, which outlines specific goals and plans for raising sustainability standards throughout the MICE sector in Singapore over the coming years.
The Meetings, Incentives, Conventions, and Exhibitions (MICE) industry is a type of tourism travel in which groups of people are brought together for a specific reason, usually well in advance. On the other hand, the MICE market refers to a subset of people who plan, arrange, and facilitate conferences, seminars, exhibitions, and other events.
Part of STB’s overarching plan to develop a sustainable tourism sector is the use of such roadmaps, which direct businesses in the sector to achieve specific sustainability goals. Following the launch of the Hotel Sustainability Roadmap earlier this year, the MICE Sustainability Roadmap is the second such project.
The Singapore Green Plan 2030 and the Sustainable Development Goals of the United Nations (UN) serve as the roadmap’s guiding principles. Three goals are listed in the MICE Sustainability Roadmap to help Singapore become one of the most environmentally-friendly MICE destinations in Asia Pacific:
- By 2023, create a set of industry-acceptable sustainability standards with the goal of having them recognised internationally by 2024.
- For all six purpose-built MICE venues and 80% of SACEOS members to get internationally or nationally recognised sustainability certification, or both, by 2025.
- To attain net-zero emissions by 2050 in accordance with the country’s net-zero aim, the Singapore MICE sector must first track waste and carbon emissions by 2023, reduce waste in line with the Singapore Green Plan by 2030, and reduce waste overall by 2050.
The MICE Sustainability Committee (MSComm), established by STB and SACEOS in August 2022 to advance sustainability capabilities and create awareness of sustainability initiatives and best practices, will help the industry adopt sustainable practices and meet these goals.
The dedication to sustainability follows a robust MICE rebound in the wake of Singapore’s borders being reopened in April this year and a rising desire for environmentally friendly business travel. More importantly, the industry is aware of how crucial it is to lessen the environmental impact of MICE events.
With STB and SACEOS leading the charge and offering support as necessary to further develop a sustainable business events landscape in Singapore, the MICE Sustainability Roadmap will ensure that MICE players move forward in pursuing relevant and achievable sustainability goals that are tracked at appropriate milestones.
Meanwhile, OpenGov Asia recently reported that the Infocomm Media Development Authority (IMDA) of Singapore is working with a large American technology company to address climate change-related challenges and enhance the sustainability of digital technologies.
The cooperation aims to hasten the local and international development of software applications and solutions to assist businesses in using their resources more efficiently.
The tech giant and IMDA will exchange best practices, standards, learnings, and certification pathways for accurate measurement and reporting of carbon emissions resulting from software applications. Through this relationship, the nation hopes to speed up the application of the ideas and resources needed to create green technologies.
According to IMDA, Southeast Asia is well-positioned for the region to take the lead in digital sustainability. This collaboration will produce cutting-edge digital sustainability solutions that can be used by multinational corporations, bringing about positive change for the environment worldwide and ensuring a sustainable future for all.
The Hong Kong Polytechnic University (PolyU) and a US-based engineering company signed a Memorandum of Understanding to establish the Centre for Humanistic Artificial Intelligence and Robotics (CHAiR) for translational research with the goal of advancing the well-being of humanity.
The partnership aims to integrate the university’s interdisciplinary research capabilities and the company’s well-known humanoid robotics platform to explore technology applications. Sophia, the company’s most advanced human-like robot, will work with PolyU researchers to enhance the contribution of AI and robotic technology for social and commercial benefits.
Research into and applications of AI and robotics are essential to the advancement of industry. As an interdisciplinary research and development centre, CHAiR brings cross-faculty collaborations in research fields such as AI, the internet of things (IoT), neuroscience, design, computer science, mechanical engineering, material science, healthcare, and the humanities.
In collaboration with the company, CHAiR supports innovation and entrepreneurship in Hong Kong and the Greater Bay Area. The Dean of Graduate School, Chair Professor of Distributed and Mobile Computing, and Otto Poon Charitable Foundation Professor in Data Science will serve as the principal investigator and administrative director of CHAiR. He will also serve alongside the CEO and Founder of the company as a co-chair of the Centre’s steering committee.
The MoU was signed by the Vice President (Research and Innovation) of PolyU and the CEO and Founder of the company. It was Witnessed by the President of PolyU and the Executive Director of the firm.
During the signing ceremony, Sophia made conversation with the guests. She said, “I look forward to learning many new skills and abilities. With your help, maybe I can learn how to be a nurse, a teacher, a concierge, a librarian. You can teach me how to be a better companion, a more skilful artist, a funnier entertainer.”
Meanwhile, the company’s CEO and Founder noted that the new centre is perfectly positioned to refine and improve the performance of Sophia-class robots in ways that promote the growth of a new service robot industry. As soon as the industry begins expanding, investment in improved hardware, software and manufacturing technologies will as well, he noted.
The President of PolyU noted that academia-industry collaboration is one of the most productive mechanisms for creating and implementing innovations. There is tremendous untapped potential for humanistic social robots. Let us aspire that CHAiR will be a major catalyst for the onset of the age of humanistic robots.
The Dean of Graduate School, Chair Professor of Distributed and Mobile Computing, who is also Director of the Research Institute for Artificial Intelligence of Things (RIAIoT), said the Institute has been working on practical solutions to key challenges in advanced AIoT technologies and applications.
He noted that the natural evolution for RIAIoT is to partner with the engineering firm to address increasingly ambitious opportunities in humanistic AI and social robotics. CHAiR will play a unique and key role to combine the firm’s knowledge with world-class academics here at PolyU.
The engineering company is an AI and robotics company dedicated to creating socially intelligent machines that enrich the quality of our lives. Sophia is the world’s first robot citizen and the first robot Innovation Ambassador for the United Nations Development Programme.