Data Science and AI Lab Developed to Nurture Singapore’s Future Tech Leaders

The official opening of a Data Science and Artificial Intelligence (DS&AI) Lab was recently announced with the support of the Singapore Economic Development Board (EDB). Singapore’s IT manufacturer and Nanyang Technological University’s (NTU) collaborated to enhance local DS&AI education, empowering students with the tech tools and skills needed to inspire a brighter future.

The Lab will put together the IT firm’s cutting-edge deep-learning technology with NTU’s global strengths in artificial intelligence and data science, allowing local data scientists and AI experts to pioneer the development of meaningful AI solutions in important industries. According to NTU, the Lab was still in the planning stages in 2018, and roughly 150 NTU students enrolled in the Bachelor of Science in Data Science and Artificial Intelligence programme have benefited from the Lab’s resources since then.

This collaboration will expose students to real-world applications and cutting-edge technologies and enables them to acquire practical experience through attachment and internship opportunities with the IT company.

– Professor Louis Phee, Dean of NTU’s College of Engineering

These undergraduates attended lessons at the Lab and used the IT company’s sponsored servers to access computing capabilities for their projects and other activities. This effort also aims to help Singapore’s AI programme and its transition to Industry 4.0.

“Singapore aspires to be amongst leaders in developing and deploying scalable impactful AI solutions in high-value sectors. Entering the next phase of growth, it is imperative to build a strong bench of multidisciplinary talent to meet the needs of the industry,” affirmed Senior Vice President and Head Operations, Semiconductors of the IT company. “This partnership between aims to nurture next-generation tech leaders will contribute to this effort, creating good economic opportunities for Singaporeans,” he then added.

Students will be introduced to valuable real-world machine learning and deep learning applications hence of this injection of advanced technology into NTU’s DS&AI Programme, giving them the technical skills and expertise to navigate and elevate Singapore’s DS&AI capabilities.

It is stated that the IT firm is committed to leading the way in technology-enabled education to provide students with exciting, fulfilling, and inspirational learning experiences. Education has the profound ability to expand horizons and inspire action from the next generation of trailblazers, as stated by the Managing Director, Sales, of the IT company Asia Pacific & Japan. “We are incredibly proud to be working with a world-renowned institution like NTU to help bring Singapore’s DS&AI education to the forefront,” he added.

Professor Louis Phee, Dean of NTU’s College of Engineering, emphasised that the collaboration with the IT firm is an excellent example of NTU’s close ties with major industry partners to develop future-ready graduates with the most up-to-date industry-driven digital skills and knowledge. This initiative not only prepared students for careers in the IT industry but also gave NTU students internship chances with the IT firm.

Through the company’s Industrial Postgraduate Programme, NTU is also assisting engineers who aspire to pursue PhD programmes (IPP). The programme, which aims to generate a pool of postgraduate workers in Singapore with critical research and development skillsets, presently has four engineers enrolled.

OpenGov Asia reported Singapore’s Artificial Intelligence (AI) research is intended at accelerating the country’s transformation into a Smart Nation. AI has been used effectively in Singapore to either supplement human intellect or develop automated methods and systems to improve people’s quality of life.

Singapore’s Defence Science and Technology Agency (DSTA) and the Massachusetts Institute of Technology’s Computer Science & Artificial Intelligence Laboratory (CSAIL) recently announced their collaboration to address this topic at the Singapore Defence Technology Summit 2021.

The Computer Science and Artificial Intelligence Laboratory (CSAIL) conducts basic research in all areas of computer science and artificial intelligence. CSAIL is dedicated to pioneering new theoretical approaches as well as the development of applications with broad societal impact.

“In the global emerging technologies field, artificial intelligence (AI) research has been a particularly exciting space on the cusp of game-changing findings and applications. Collaborations with leading research institutions such as MIT ensure that DSTA is primed to translate such innovations into capabilities for defence and beyond,” said the DSTA Deputy Chief Executive for Information.

Singapore Unveils AI Government Cloud Cluster

The Smart Nation and Digital Government Office (SNDGO) and a major cloud computing company have announced the launch of the Artificial Intelligence Government Cloud Cluster (AGCC), a comprehensive platform designed to accelerate AI adoption in Singapore’s public sector, advance local applied AI research efforts and support the growth of the local AI startup ecosystem.

The AGCC has been implemented by SNDGO and the cloud tech company for usage by Singapore’s government agencies and the research, innovation, and enterprise (RIE) ecosystem. The AGCC is hosted in Singapore in a specialised cloud computing environment.

Agencies can use the AGCC to build and deploy scalable and impactful AI applications rapidly, safely, ethically, and cost-effectively by leveraging an AI technology stack and a vast partner ecosystem of software-as-a-service firms, consultancies, and AI startups. AI technology stack capabilities include:

First, an AI-optimised infrastructure. High-performance A2 supercomputers powered by NVIDIA’s A100 GPUs and hosted in an open, scalable, secure, and energy-efficient infrastructure. This enables cloud developers to train computationally complex AI models at fast speeds while minimising costs and environmental impact.

Customisable first-party, third-party, and open-source AI models follow. A central repository enabling AI practitioners to access pre-trained generative AI models, with built-in features to assist users in customising these models for specific requirements.

The repository contains a wide range of first-party, third-party, and open-source models designed for certain needs. These include models for summarising and translating text in different languages, sustaining an ongoing discussion, converting audio to text, producing, and modifying software code, and generating and repairing written descriptions.

International AI businesses interested in making their foundation models available to Singapore government departments can collaborate with the Cloud computing company to store these models in the repository.

Another category is no-code AI development tools. A Generative AI App Builder enabling developers (especially those with limited technical expertise) to swiftly construct and seamlessly embed chatbots and enterprise search experiences driven by Cloud’s generative AI models.

Finally, there are explainable AI and data governance toolkits. A set of built-in technologies that can assist government agencies in using AI in a secure and responsible manner. This includes features for access control and content moderation, as well as novel mechanisms for incorporating human feedback to improve model performance and the ability to audit the sources of AI model outputs to detect and resolve potential bias and ensure that model behaviour is compliant with regulations.

The Government Technology Agency (GovTech) is Singapore’s first public-sector organisation to use the AGCC. Its Open Government Products (OGP) team has integrated with Vertex AI and is investigating the use of its models in Pair, which are large language model-powered assistants that civil servants can use to help them boost productivity while maintaining the confidentiality of government information.

To help government agencies deploy AI applications as effectively and responsibly as possible, the Cloud tech company will collaborate with GovTech to design and run whole-of-government Digital Academy programmes that will assist agencies in developing in-house data science and AI expertise, developing AI innovation strategies, and implementing data governance best practices.

The programmes will be delivered in a variety of specialised formats to 150,000 public servants from 16 ministries and over 50 statutory boards.

Government agencies in Singapore will be able to use the AGCC and other authorised services through the Government on Commercial Cloud (GCC) 2.0 platform beginning in June 2023. The GCC platform, developed by GovTech, offers agencies a standardised and regulated means to implement commercial cloud solutions.

GCC 2.0, the platform’s second generation, is integrated with cloud-native capabilities and cloud security practices, enabling agencies to access into a larger ecosystem of services and people to accelerate the development of new digital applications.

Australia: Renewed Collaboration for Sustainable Transport

Australia’s Minister for Infrastructure, Transport, Regional Development and Local Government and the Governor of Michigan jointly renewed and expanded cooperation between Australia and Michigan to foster collaborative efforts in preparing for a transport future that prioritises environmental sustainability, safety, enhanced connectivity, and improved accessibility for communities.

The Memorandum of Understanding (MoU) will serve as the foundation for continued collaboration between the automotive and technology sectors of Australia and Michigan, as well as policymakers from both regions.

The Memorandum of Understanding (MoU) highlights the shared dedication of the individual and Governor Gretchen Whitmer to address climate change by reducing emissions in the transport sector. It emphasises the importance of fostering collaboration in developing future technologies and enhancing supply chain connectivity within the sector.

Similar to Michigan, Australia has made a commitment to achieve net zero emissions by 2050. This MOU will facilitate future collaboration between the two jurisdictions, ensuring that the transport sector actively contributes to the overall goal of emissions reduction.

New and emerging transport technologies have the potential to enhance accessibility, safety, reduce congestion, and increase productivity. Recognising the significance of these advancements, the Australian Minister stated that the government assumes a strategic leadership role in facilitating the safe and lawful adoption of such technologies in Australia. In this endeavour, Michigan, known as a longstanding global hub for automotive industry innovation, becomes an important international partner in further advancing its collaborative efforts in the field of transport technology.

Importantly, within the Memorandum of Understanding (MoU), Australia’s commitment to enhancing the engagement of First Nations businesses in the automotive sector, including future transport business opportunities, is outlined.

This commitment aligns with the Albanese Government’s dedication to ensuring that Australia’s foreign policy reflects the country’s complete identity. The continuation of the collaboration between Australia and Michigan is eagerly anticipated, as it will contribute to the achievement of a better and safer transport future that forms the foundation of prosperity for both regions.

Smart transport, also known as intelligent transport, refers to an advanced infrastructure for transportation that aims to offer innovative services for managing traffic and transport. It encompasses various applications like parking management and guidance, passenger information, and traffic control. The global smart transportation market is anticipated to expand to US$251.0 billion by 2030, with a compound annual growth rate (CAGR) of 10.2% from 2021 to 2030.

Intelligent transportation systems (ITS) are advanced applications that provide ground-breaking services for transportation and traffic management. These systems allow multiple users to be better coordinated and informed through the use of technologies such as car navigation, traffic signal control systems, speed cameras, and real-time data analysis. Achieving this intelligent transportation information involves enhancing infrastructure, implementing sustainable fuels for public transport vehicles, and efficiently providing mobility services in rapidly growing cities.

The COVID-19 pandemic has had a profound impact on the transportation industry, causing widespread uncertainty and disruption. Despite these challenges, market players in the smart transportation industry have embraced innovative strategies to capitalise on growth opportunities. There is a growing demand for effective traffic management systems and improved transportation infrastructure to ensure passenger safety.

As the world gradually recovers and implements new restrictions and policies, the transportation sector, particularly in the retail industry, is expected to witness a significant recovery. This recovery, coupled with technological advancements in vehicle safety, is likely to have a positive impact on the smart transportation market.

Moreover, the advent of cloud-based technologies and advancements in vehicle-to-vehicle (V2V) and vehicle-to-grid infrastructure (V2I) have facilitated the realisation of smart transportation. These technologies are designed to offer ground-breaking services in various aspects of transportation and traffic management. They empower users to access improved information and use transport networks more safely and efficiently.

India: University Implements AI/ML for Efficient Tracking

State-run Osmania University in Hyderabad has embraced artificial intelligence and machine learning (AI/ML) to revolutionise its attendance marking process. Now, the tedious waiting to sign attendance registers or use biometric systems is no longer required. Employees simply need to enter the building, and their attendance will be automatically recorded. This is made possible through CCTV cameras equipped with AI and ML technologies, which accurately mark employees’ attendance, log-in and log-out times, as well as their entry and exit from the building.

The functionality of these cameras relies on an integrated facial recognition system. Leveraging cognitive AI capabilities, they identify facial biometrics and synchronise them with the current database to accurately document employee attendance. This innovative solution has been implemented as a pilot project in the main administrative building of the university for its employees. In the future, the university plans to expand the deployment of these cameras to other campus facilities, including offices, classrooms, and hostels.

According to an official from the university, under the manual system, employees often mark their attendance in the morning, leave the office, and return later to record their log-out time. However, with the implementation of CCTV camera-based attendance, this process will undergo a significant change. The cameras continuously capture movement and simultaneously store employees’ log details, eliminating the need for manual recording. To achieve this, AI and ML technologies have been integrated into two cameras.

Additionally, the official noted that the CCTV cameras also capture the log-in information of visitors entering the administrative building. This means that the log details of all visitors are systematically recorded in the database, providing a comprehensive attendance tracking system.

The introduction of CCTV-based attendance eliminates the need for manual attendance registers or time-consuming biometric systems, streamlining the entire process. Students simply need to enter the designated areas covered by CCTV cameras, and their attendance is promptly recorded. This not only saves time but also reduces the chances of errors or misinterpretations.

Moreover, these AI-powered cameras not only capture the presence of students but also provide additional functionalities. Some universities have integrated facial recognition systems to ensure authentication and prevent proxy attendance. The cameras analyse facial biometrics, matching them against the existing database to ensure accurate identification. It can also enable the university to track attendance patterns, identify areas that require improvement, and take proactive measures to enhance student engagement and performance.

Most educational institutions across the country are embracing the advancements brought by AI. Numerous schools and colleges have incorporated AI-based learning techniques to simplify the process of education and effectively teach intricate subjects to students. Additionally, AI’s adaptable learning methods assist teachers in providing personalised attention to each student.

Last year, the Indian Institute of Technology Madras (IIT-Madras) and the Tamil Nadu State Department of School Education announced they would collaborate to improve and update the digital learning platform for school students to an assessment-focused Learning Management System. It was deployed in high-tech labs in 6,000 government schools, as OpenGov Asia reported. It aimed to improve the quality of learning for around nine million students.

Education in Tamil Nadu’s schools was previously supplemented through a digital learning platform called the Education Management Information System. Researchers from the Indian Institute of Technology Madras used their AI and data science expertise to come up with ways to improve the way assessments are conducted and develop a framework to disseminate educational material.

U.S: Enhancing Autonomous Machine Learning

When in the learning process, humans are nurtured by teachers or mentors to acquire knowledge more quickly. Students can grasp when the teacher showed a good or substandard example. Additionally, they can only imitate the teacher’s actions precisely if they exert greater effort to achieve the same level of proficiency. Just like humans, computer scientists can also use “teacher” systems to train another machine to complete a task.

Researchers from MIT and Technion, the Israel Institute of Technology, have embarked on developing an algorithm that automatically and independently determines when the student should mimic the teacher (imitation learning) and when it should learn through trial and error (reinforcement learning). The researchers made the machine learn from other machines without a third party anymore to teach, causing it to save a lot of time and energy.

Several current approaches attempting to find a middle ground between imitation learning and reinforcement learning often rely on a laborious process of brute force trial-and-error. Researchers select a weighted blend of the two learning methods, execute the entire training procedure, and iterate the process multiple times to discover the optimal balance. However, this approach is inefficient and often incurs substantial computational costs, rendering it impractical in many cases.

When the researchers embarked on their simulation, it was proved that the combination of trial and error learning allowed students to learn faster and more efficiently than the imitating methodology, as the student can explore more in many ways. By simulating the combination methodology, which uses the experiment and exploration by the student itself, students can combine dots that intersect to produce a comprehensive conclusion.

“Integrating trial-and-error learning and following a teacher yields a remarkable synergy. It grants our algorithm the capability to tackle highly challenging tasks that cannot be effectively addressed by employing either approach independently,” said Idan Shenfeld, an electrical engineering and computer science (EECS) graduate student and Lead Author of a paper on this technique.

The innovative approach enables the student machine to deviate from imitating the teacher’s behaviour when the teacher’s performance is either good or not good. However, the student can later revert to mimicking the teacher’s actions during the training process if it proves to be more beneficial, leading to improved outcomes and accelerated learning.

The proposed approach entails training two separate students. The first student is taught using a combination of reinforcement learning and imitation learning, with the learning process being guided by various techniques.

On the other hand, the second student is trained solely using reinforcement learning, relying exclusively on this approach to learn the same task, minimising the need for extensive parameter adjustments, and delivering exceptional performance.

To give their algorithm an even more difficult test, a simulated environment was established, involving a robotic hand equipped with touch sensors but without visual perception. The objective was to reorient the pen to the correct position. The teacher solely accessed real-time orientation data, while the student relied on touch sensors to determine the pen’s orientation.

Rishabh Agarwal, Director of a private research laboratory in the US and an assistant professor in the Computer Science and Artificial Intelligence Laboratory underscores that the ability to reorient objects is just one example of the various manipulation tasks that a future household robot would be required to accomplish. “This research introduces a compelling method, leveraging previous computational efforts in reinforcement learning.”

“I am very optimist about future possibilities of applying this work to ease our life with tactile sensing,” Abhishek Gupta, an Assistant Professor at the University of Washington, concluded.

Bridging the Digital Divide: Western Australia’s Support for Rural Communities

The Government of Western Australia is taking significant steps to support rural and remote communities across Western Australia by providing funding for technology projects that aim to enhance community services. In an effort to bridge the digital divide and promote access to essential resources, more than AU$ 330,000 has been allocated to support 44 Community Resource Centres (CRC) in implementing various technology and innovation initiatives throughout the regions.

These projects encompass a wide range of endeavours aimed at improving the lives of community members in rural areas. For instance, a notable initiative involves the upgrade of 13 public computers in Broome. These computers play a crucial role in the community, particularly for individuals who do not have the luxury of owning personal computers in their homes. By upgrading these public computers, the CRC in Broome will be able to provide better access to information, educational resources, and essential online services to local residents.

The funding provided by the McGowan Government will empower CRCs in rural and remote areas to embrace technological advancements and leverage innovative solutions to address community needs. By implementing these technology projects, the government aims to enhance the overall quality of life in these regions, promote digital inclusion, and ensure that residents have equal opportunities to access crucial online services and resources.

In addition to the aforementioned initiatives, the funding provided by the Government will enable other Community Resource Centres (CRCs) in Western Australia to embark on innovative projects tailored to their local community needs. The Frankland River CRC, for example, plans to establish a Smart Home Hub demonstration centre, which will serve as a showcase for the latest advancements in home automation and smart technologies. This initiative aims to educate and familiarize community members with the benefits and possibilities of integrating smart technologies into their homes.

Meanwhile, the Beverley CRC intends to establish a content creation studio with a specific focus on social media marketing for local businesses in the Wheatbelt region. This studio will help businesses develop engaging content for their social media platforms, enabling them to effectively promote their products and services to a wider audience. By enhancing their online presence and digital marketing capabilities, local businesses can potentially attract more customers and bolster economic growth in the region.

The grant program extends to all Community Resource Centres within the WA Community Resource Network, encompassing over 100 CRCs located in regional and remote areas across the State. Each eligible CRC has the opportunity to apply for grants of up to AU$ 10,000 under the program.

The Department of Primary Industries and Regional Development administers the program, ensuring that the funding is allocated and used effectively to support technology and innovation projects that benefit rural and remote communities in Western Australia.

The Minister of Regional Development emphasised the importance of Community Resource Centres (CRCs) as community-driven organizations that play a crucial role in providing essential support to residents and businesses in rural and remote areas across Western Australia. The funding initiative aims to equip CRCs with the necessary technological resources to deliver modern and effective services to their respective communities.

This funding program recognises that community needs vary across different regions, and it empowers local CRCs to identify and address the specific improvements that will bring the greatest benefits to their stakeholders. By allowing CRCs to leverage their deep understanding of local needs and dynamics, the initiative ensures that the allocated funds are used in ways that best serve the communities they serve. This approach acknowledges the unique challenges and opportunities faced by each CRC and supports their efforts in delivering impactful projects tailored to their community’s requirements.

Singapore’s Digital Solutions for Advance Care Planning

According to Masagos Zulkifli, Second Minister for Health at the recently concluded 8th Advance Care Planning International Conference, person-centred care includes prioritising the patient’s choices and involving the patient and their family in care decisions. As a result, advance care planning (ACP) allows individuals to communicate their enhanced healthcare preferences.

ACP has been adopted in Singapore under the Advance Medical Directive Act and the Mental Capacity Act. Over 35,000 Singaporeans have completed their plans under the “Living Matters” programme, which promotes ACP.

In the future, the Ministry of Health hopes to raise awareness and acceptance of ACP, which has earned global prominence for aligning care with individual beliefs.

Minister Masagos noted that three issues must be overcome to promote the wider adoption of ACP. To begin, Singapore’s traditional society requires a mindset shift to normalise dialogues about death and dying, particularly among the elderly.

Second, additional facilitators, particularly trustworthy doctors, should be included to effectively engage the community. Finally, the present ACP facilitation approach requires an improved structure that can accommodate a larger group without losing quality.

In addition, technology should be used to reach out to digitally literate populations and increase scalability. Overcoming these obstacles will allow ACP to gain wider support and implementation in Singapore.

The Ministry of Health hopes to improve accessibility and ease in the ACP process as Singapore embraces technology. Individuals can now complete their ACP autonomously, without the necessity for in-depth talks with facilitators, thanks to the use of digital technologies, especially for those who are generally healthy.

This transition to digital solutions tackles the scalability and resource intensity issues that have plagued traditional ACP facilitation. It also serves a growing generation of digitally literate consumers who want more control over their healthcare decisions.

The ACP community must work with the healthcare system’s continuing improvements, particularly the Healthier SG project, which emphasises preventive care. Key shifts are required to enhance ACP knowledge and implementation.

Also, a societal mindset shift is required, which includes outreach, providing ACP outside of clinical settings, and establishing a statewide Pre-Planning Campaign. Roadshows, workshops, and a digital campaign on the My Legacy site will be part of this effort.

Individuals can use this gateway to get extensive information about ACP, start conversations, and make informed decisions about their life preferences. These programmes not only empower individuals but also promote early planning, ensuring that their values and priorities fit with their care goals.

Individuals and their families will benefit from these efforts, which aim to stimulate talks and early planning for end-of-life care. It is critical to begin these discussions and make the appropriate arrangements, including as purchasing insurance and establishing a durable power of attorney and wills.

Two critical shifts must occur for ACP to be widely adopted. First, healthcare personnel should be encouraged to incorporate ACP dialogues into routine treatment, giving them the knowledge and ability to discuss end-of-life planning with their patients.

This involves starting early dialogues with people who have significant illnesses about how to connect their care plans with their values. Second, to improve the ease, the ACP procedure should be digitalised.

While third-party facilitators are still required in some circumstances, digitally savvy persons who are relatively healthy can self-facilitate the broad ACP without in-depth conversations. Citizens can empower themselves to finish the ACP process independently by leveraging technology and digital platforms.

Unlocking AI’s Potential for Accelerated Drug Development

The University of Sydney recently entered into a memorandum of understanding (MoU) with the Australian subsidiary of a pharmaceutical company based in South Korea. The partnership aims to leverage the power of artificial intelligence in identifying potential compounds for accelerated development into treatments for cancers and rare diseases.

Under the MoU, the University’s Drug Discovery Initiative will gain access to the pharmaceutical company’s advanced AI drug development platform, known as Chemiverse. This collaboration will enable the University to harness the capabilities of AI in identifying promising compounds for drug development. Additionally, the company will benefit from collaborating with the University’s esteemed team of researchers and using their cutting-edge drug discovery infrastructure.

The Director of the Drug Discovery Initiative expressed enthusiasm about the collaboration with the company. He highlighted the complexity involved in developing drugs for treating diseases and emphasised the significance of working with Pharos and their advanced artificial intelligence platform, Chemiverse.

The use of Chemiverse in this partnership is expected to greatly enhance the University’s capacity to develop innovative treatments for unmet medical needs. Moreover, the synergies between the platform and the Drug Discovery Initiative will foster innovation and facilitate the establishment of new drug discovery pipelines.

The Drug Discovery Initiative, situated within the School of Chemistry, serves as an interdisciplinary academic network that aims to expedite the early-stage development of drugs by leveraging top-tier individuals, technologies, and tools.

The Pro-Vice-Chancellor (Research Enterprise) emphasised the University’s dedication to translating fundamental research into practical solutions. The partnership with the company is viewed as an opportunity to capitalise on the expertise housed within the Drug Discovery Initiative. Together, they strive to advance the development of potentially life-saving targets for cancer and rare diseases.

The co-CEO of the company’s Australia branch expressed excitement about collaborating with the University and the Drug Discovery Initiative. He said the use of state-of-the-art infrastructure to accelerate drug discovery efforts.

The firm’s Chemiverse platform is a versatile tool that can be employed across the entire spectrum of new drug development, encompassing target discovery to lead compound generation. This advanced platform incorporates a vast amount of big data, approximately 230 million data points, and uses advanced algorithms to facilitate the drug development process.

The company is actively engaged in ongoing research and development as well as commercialisation efforts using the Chemiverse platform. They are currently working on approximately 10 pipeline projects, which include the development of a treatment called “PHI-101” for acute myeloid leukaemia. Notably, PHI-101 is currently undergoing phase 1b clinical trials.

On the other hand, the Drug Discovery Initiative plays a prominent role in the development of new compounds and the identification of collaborative pipelines. They are highly active in their pursuit of advancing drug discovery and forging partnerships in this field.

In March, the NSW Government provided funding for the establishment of the NSW Organoid Innovation Centre. This state-of-the-art facility is a collaborative initiative involving multiple institutions. It focuses on using cutting-edge stem-cell techniques to expedite the process of drug discovery and design.

The pharmaceutical company, earlier this year, became a part of the Sydney Knowledge Hub, which serves as a startup incubator and coworking space located at the University of Sydney. This strategic collaboration aims to foster partnerships and facilitate seamless collaboration between industry and the research community in Sydney.

June 3, 2023

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Data Science and AI Lab Developed to Nurture Singapore’s Future Tech Leaders

Singapore Unveils AI Government Cloud Cluster

Australia: Renewed Collaboration for Sustainable Transport

India: University Implements AI/ML for Efficient Tracking

U.S: Enhancing Autonomous Machine Learning

Bridging the Digital Divide: Western Australia’s Support for Rural Communities

Singapore’s Digital Solutions for Advance Care Planning

Unlocking AI’s Potential for Accelerated Drug Development

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Singapore Unveils AI Government Cloud Cluster

Australia: Renewed Collaboration for Sustainable Transport

India: University Implements AI/ML for Efficient Tracking

U.S: Enhancing Autonomous Machine Learning

Bridging the Digital Divide: Western Australia’s Support for Rural Communities

Singapore’s Digital Solutions for Advance Care Planning

Australia: Renewed Collaboration for Sustainable Transport

India: University Implements AI/ML for Efficient Tracking

U.S: Enhancing Autonomous Machine Learning

Bridging the Digital Divide: Western Australia’s Support for Rural Communities

Singapore’s Digital Solutions for Advance Care Planning

Unlocking AI’s Potential for Accelerated Drug Development

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