Singapore prepares for thriving 5G ecosystem

The Infocomm Media Development Authority have issued the Final Awards to Singtel Mobile Pte Ltd and the Joint-Venture Consortium (JVCo1) formed by StarHub Mobile Pte Ltd and M1 Limited, at the close of the 5G Call for Proposal process. Singtel and JVCo were issued the Provisional Awards in April this year.

Deployment of 5G Networks

The Final Awards were issued to Singtel and JVCo after they completed the required regulatory processes, including the selection of their preferred frequency spectrum lots, vendor partners and other technical and legal matters.

Both Singtel and JVCo have also satisfied other Call For Proposal requirements, including on network rollout and performance, coverage, resilience, cybersecurity and vendor diversity.

Singtel and JVCo can now proceed to deploy nationwide 5G standalone networks that deliver full-fledged 5G capabilities. These networks are complemented by localised mmWave deployments to provide high capacity 5G coverage.

TPG Telecom Pte Ltd (TPG) has also applied for and is being allocated the remaining frequency spectrum in the millimeter wave band to roll out 5G networks on a localised basis. This would allow TPG to roll out localised 5G networks.

Wholesale arrangements for the use of 5G networks provided by Singtel and JVCo will be available to TPG and mobile virtual network operators, which can in turn offer retail 5G services to end users.

Mr S Iswaran, Minister for Communications and Information, said, “This 5G Final Award marks the closure of a robust and rigorous CFP process. With this, it sets the stage for the development of a world-class, resilient and secure 5G infrastructure which will be the backbone of Singapore’s digital economy. We remain on track for nationwide 5G standalone deployment by 2025. We will build upon this infrastructure to create a vibrant 5G ecosystem, offering exciting opportunities and benefits for individuals, workers and businesses in Singapore’s digital future.”

Using 5G technologies to create opportunities in all sectors

The government plans to build strong partnerships with industry to build sustainable 5G business use cases, and develop strong manpower capabilities to utilise 5G technologies, creating a successful 5G ecosystem in Singapore.

In June 2019, IMDA partnered the Maritime and Port Authority of Singapore and PSA Corporation Ltd to trial the use of 5G in facilitating safer and more efficient maritime operations. The trials validated the value of 5G. Its higher bandwidth, lower latency and enhanced reliability helped to enhance the productivity and efficiency of port operations and workers.

IMDA is launching a 5G Living Lab@PIXEL in September 2020 to facilitate industry efforts to develop new 5G solutions and build up technical capabilities.

Businesses, including SMEs, will be able to develop and test 5G-enabled devices and applications, as well as gain insights from sharing sessions and masterclasses with PIXEL’s broader ecosystem of innovative infocomm media start-ups.

While there is potential for many different use cases, as a start, the facility will focus on augmented reality/virtual reality which is critical for in-person experiences. This is especially relevant today, given the increasing need for remote events and activities to support sectors such as retail and construction that have been affected by COVID-19.

Building a 5G-ready workforce

As part of the efforts to build a pipeline of 5G-ready workforce across the telecom sector and the wider 5G ecosystem, IMDA is partnering Institutes of Higher Learning and the industry to offer 5G-related training programmes. This will support new job opportunities such as Network Engineers, Radio Frequency Engineers, and develop new skills such as Network Security and Network Slicing.

IMDA is also working closely with the mobile network operators through the TechSkills Accelerator (TeSA) programme to develop tailored in-house training plans to support their 5G talent development and deployment. In addition, IMDA is partnering training providers to provide new 5G courses, such as in 5G Network Architecture and Network Function Virtualisation.

Singapore: Magnetic Muscle Therapy Reversing Ageing Trends

Digital innovation empowers ageing individuals by promoting better health management, social engagement, cognitive stimulation, safety, and access to resources, ultimately improving their overall quality of life.

While ageing is frequently accompanied by a deterioration in functional mobility, loss of muscle strength, and an increase in body fat, this trend could be reversed thanks to a novel magnetic muscle therapy developed by researchers at the National University of Singapore (NUS).

Weekly exposure to very low levels of proprietary pulsed electromagnetic field (PEMF) using the BIXEPS device invented by NUS researchers in 2019 is associated with significant improvements in mobility and body composition after 12 weeks, particularly in older people, according to a recent community study conducted in Singapore involving 101 participants aged 38 to 91 years old. After three months of magnetic muscle therapy, participants reported reduced pain perception.

Associate Professor Alfredo Franco-Obregón, who led the research team and is a Principal Investigator with NUS iHealthtech and co-founder of QuantumTX, says that the BIXEPS device uses a specific magnetic signature to target the muscles in a user’s leg and create metabolic activity in the cells, just like when a person exercises.

Studies from the past showed that when magnetic muscle treatment was used on one leg after knee surgery, the whole body’s metabolism improved. This was mostly seen as changes in the blood lipid profiles. That is, the effect went beyond just the leg that was treated and led to changes throughout the whole body.

After eight weeks of treatment, 72% of individuals reported improved skeletal muscle maintenance along with reductions in total and visceral fats, with 85% of subjects reporting improvements in functional mobility after 12 weeks, most notably among the elderly.

These encouraging findings suggest that this PEMF-based technology could be a beneficial adjunct to traditional geriatric therapies aimed at lowering the prevalence of frailty and metabolic diseases in the elderly population.

Importantly, visceral fat is an inflammatory fat that has been linked to a variety of metabolic diseases, including diabetes. Previous research has found that people in Southeast Asia retain visceral fat more persistently than persons in other regions of the world, despite exercise.

As a result, people in Southeast Asia get diabetes at a lower BMI than persons of other ethnicities. This has created a significant challenge for the Southeast Asian health business. Researchers finally have a solution to this local healthcare dilemma in the form of magnetic field therapy.

Based on the promising findings of the community study, the team has collaborated with research groups in the United States and Hong Kong to perform randomised controlled clinical studies to further validate the advantages of frailty across various ageing groups.

Since 2022, the team has also begun a senior-focused study with 200 elders across four Singapore community care centres to assess how the technology can improve function and ease chronic problems. This research is projected to be completed in 2023.

Real-world pilot data from current community programmes have also shown promise of improved HbA1c control – the most common measure for diabetes progression – after beginning weekly BIXEPS sessions.

The research team is currently collaborating with the Singapore General Hospital to perform a clinical trial to evaluate further the therapeutic potential of PEMF-based therapies for diabetes progression management.

India’s Urban Future: Innovations in the Smart Cities Mission

The consultative committee of the Ministry of Housing and Urban Affairs was briefed by Hardeep S. Puri, the Minister for Housing and Urban Affairs, about the progress made in the Smart Cities Mission. Minister Puri highlighted the significant advancements taking place within the 100 smart cities and their positive impact on India’s urban future. He underscored the vital role played by Special Purpose Vehicles (SPV) in effectively managing and implementing the mission at the city level, thus maximising its potential.

The Smart Cities Mission, launched in June 2015, seeks to enhance the lives of citizens by implementing “smart solutions” that focus on core infrastructure, a clean and sustainable environment, and a high quality of life. Under the initiative, 100 cities were selected through a two-stage competition to be developed as Smart Cities. According to the government, the regions are showcasing satisfactory advancements.

The Smart Cities Mission is overseen by an Apex Committee led by the Secretary of the Ministry of Housing and Urban Affairs. They regularly provide updates on the implementation status of projects through the Real-Time Geographical Management Information System (GMIS). According to the Smart Cities Mission Statement and Guidelines, each city establishes a Smart City Advisory Forum (SCAF) at the local level to facilitate collaboration and provide guidance. The SCAF comprises various stakeholders such as Members of Parliament, Members of the Legislative Assembly, the Mayor, the District Collector, local youth, technical experts, and other relevant parties. So far, the Smart Cities have convened more than 756 SCAF meetings.

In addition, at the state level, a High Powered Steering Committee (HPSC) chaired by the Chief Secretary has been established. This committee plays a crucial role in overseeing the Smart Cities Mission within the state. Furthermore, the Ministry of Housing and Urban Affairs appoints Nominee Directors to the Boards of Special Purpose Vehicles (SPVs) who actively monitor the progress of projects in their respective cities.

The Committee conducted visits to various project sites in Goa, including the ‘Mandovi Riverfront Promenade’, ‘Flood Mitigation Works’, and the Integrated Command and Control Centre (ICCC). During these visits, the status and progress of the projects were discussed as of 1 May 2023. It was highlighted that the Smart Cities Mission comprises approximately 7,800 projects with a total value of INR 1.8 trillion (US$ 21 billion). Out of these, more than 5,700 projects (73% by number) worth INR 1.1 trillion (US$ 13.3 billion) (60% by value) have already been completed. The remaining projects are expected to be completed by June 2024. Also, INR 38,400 crores (US$ 4.6 billion) have been released under the Smart Cities Mission as of 1 May, out of which INR 35,261 crores (US$ 4.2 billion) has been used.

The Ministry maintains regular communication and engagement with the states and Smart Cities through video conferences, review meetings, field visits, regional workshops, and more. These interactions occur at different levels and serve multiple purposes, including assessing the performance of cities and providing necessary support and guidance for their improvement.

An official said that ICCCs play a crucial role in enhancing situational awareness through the utilisation of advanced technologies. These centres provide comprehensive visualisations that enable civic officials to effectively address various urban functions and handle daily tasks, issues, and emergencies following detailed standard operating procedures. ICCCs have evolved into the central hubs of these smart cities, showcasing the effective application of technology in fortifying urban management.

AI to Accelerate Indonesia’s Banking System

Bernard Widjayam, the Head of the Market Conduct Department at the Financial Services Authority (OJK), underscored the significance of incorporating technology into the oversight of financial service businesses. In his statement, he highlighted the limitations of manual analysis when it comes to efficiently and effectively analysing data on behaviour within the industry.

Manually analysing vast amounts of data related to financial service business behaviour can be a time-consuming task. Furthermore, relying solely on manual analysis can introduce the risk of inefficiencies, inaccuracies, and inconsistencies in the data analysis process. It may lead to a lack of coherence and potentially misleading information.

By leveraging technology in the supervision and monitoring of financial service businesses, the aim is to enhance data analysis’s efficiency, accuracy, and reliability. Automation and advanced algorithms can streamline the process, enabling faster and more comprehensive analysis of behaviour-related information. In turn, facilitates timely and informed decision-making for regulatory authorities and promotes a more transparent and compliant financial services sector.

Implementing technology-driven solutions allows for data collection, processing, and analysis automation. By harnessing advanced analytical tools and techniques, regulatory bodies can uncover patterns, trends, and anomalies in behaviour data that may otherwise be overlooked in manual analysis. This comprehensive and data-driven approach enables a deeper understanding of the industry, identifies potential risks or misconduct, and supports proactive regulatory interventions.

Moreover, using technology to supervise financial service businesses helps establish a consistent and standardised framework for data analysis. It ensures that the analysis is conducted systematically and unbiasedly, reducing the potential for human errors and subjective interpretations. It promotes transparency, fairness, and accountability in assessing behaviour within the financial services industry.

Bernard Widjayam also highlighted the potential use of AI and machine learning technologies in monitoring the offerings of financial products and services through various media channels. By harnessing the power of AI and machine learning, regulatory authorities can enhance their ability to detect and assess potentially misleading or non-compliant advertisements and promotions in the financial services sector.

AI and machine learning algorithms can analyse enormous amounts of data from different sources, such as websites, social media platforms, and online advertisements, to identify patterns and anomalies in the marketing practices of financial service providers. It enables authorities to swiftly identify misleading claims, hidden fees, or unfair marketing tactics that misguide consumers or violate regulatory standards.

Using AI and machine learning technologies can significantly augment the effectiveness and efficiency of regulatory oversight in the digital age. These technologies can automate the monitoring process, flagging suspicious advertisements or promotions for further investigation and reducing the burden of manual monitoring on regulatory authorities.

To promote the digitalisation of activities in BPR/BPRS as outlined in pillar 2 of the Indonesian Banking Development Roadmap, CBI, as the Credit Insurance Management Institution (LPIP), has implemented Artificial Intelligence (AI) and utilised credit scoring for credit application analysis.

Implementing AI in credit application analysis is expected to provide higher efficiency and accuracy. By leveraging AI technology, CBI can process customer data quickly and accurately, identify credit risks, and make more precise credit decisions. Moreover, CBI can evaluate the credit profiles of prospective borrowers based on factors such as credit history, income, and assets. It enables CBI to make objective and fair credit decisions.

With the implementation of AI and the utilisation of credit scoring, CBI can accelerate the credit application process, reduce undesirable credit risks, and improve the overall operational efficiency of BPR/BPRS. This step aligns with the vision of the Indonesian Banking Development Roadmap, which emphasises the importance of digitalisation in enhancing the competitiveness of the banking sector.

The Philippines National Cybersecurity Plan Shaping a Secure Cyber Landscape

The Department of Information and Communications Technology (DICT) invites all stakeholders, advocates, and concerned individuals to submit feedback, comments, and suggestions on the drafted National Cybersecurity Plan (NCSP) 2023-2028 to provide a safe and reliable cyberspace for all Filipinos.

The goal of the public consultation on the draught of the NCSP 2023-2028 is to improve the final document, which is expected to be released by the end of 2023. All parties interested may offer their suggestions and comments to the Office of the Assistant Secretary for Cybersecurity and Upskilling via email at oascu@dict.gov.ph. The outline NCSP 2023-2028 is organised around six (6) pillars, including:

Enactment of the “Cybersecurity Act” to strengthen the policy framework;
Secure and protect Critical Information Infrastructures (CII);
Proactively defend the government and people in cyberspace;
Operational and well-coordinated network of Computer Emergency Response Team (CERT) and SOC;
Capacitate workforce in cybersecurity; and
Enhancing international cooperation.

Ivan John E. Uy, secretary of the DICT, emphasised the importance of concerted action from all interested parties to create a trusted, dependable, and safe online environment for Filipinos.

“The NCSP 2023-2028 shows the importance of convergence among all government agencies in delivering our mission. It outlines steps on how each government agency can coordinate all their cybersecurity initiatives through the National Cybersecurity Inter-Agency Committee (NCIAC). It also harmonises all organisation CERT and defined two national-level CERTs,” said Secretary Ivan.

He also stated that there was a steady increase in internet-based transactions during and after the COVID-19 outbreak. The country gradually evolved to cashless transactions as electronic commerce and e-banking became commonplace, mostly because of inventions from the private sector. Cybercrime incidences rose as these advanced.

Cyberthreat actors took use of flaws and vulnerabilities in processes, technology, and human behaviour. In response to these changes, the National Cybersecurity Plan 2023–2028 (NCSP 2023–2028) was created.

The goal of DICT is to give every Filipino access to a trusted, secure, and reliable online environment. This demonstrates the necessity of protecting the government and the public online, as well as the significance of fostering the kind of trust required for online commerce to flourish.

The NCSP’s second iteration drew on the preceding strategy’s results while also demonstrating a policy shift. DICT is now attempting to establish a Cybersecurity Act to balance the economic linkages impacting noncompliance with cybersecurity legislation.

The new strategy also promotes policy based on standards and risk-based methods. Individual organisations, rather than entire sectors, are designated as CIIs if they fail, depending on their size and influence. A renewed emphasis on developing the cyber workforce, as well as the significance of improving international collaboration in cybersecurity, was also emphasised.

Most particularly, the NCSP 2023-2028 demonstrates the importance of collaboration among all government departments in carrying out its mandate. It details how each government agency can use the National Cybersecurity Inter-Agency Committee (NCIAC) to coordinate all their cybersecurity initiatives. It also unifies all organisation CERTs and establishes two national-level CERTs.

Though the NCSP 2023-2028 has a sublime goal, DICT thinks this strategy can be successful with the assistance of all government agencies, the private sector, and all departments of government.

The National Cybersecurity Plan must be developed by DICT in accordance with RA 10844, hence, the National Cybersecurity Plan 2028 (NCSP 2028) draft is meant to serve as a guide for consultations, with the goal of using comments to improve the final version of the NCSP, which is scheduled to be released before the end of 2023.

New Zealand Balancing Productivity and Privacy in the Age of AI

The Privacy Commissioner, Michael Webster, has issued warnings regarding safeguarding personal information while utilising artificial intelligence (AI), addressing the private and public sectors. In releasing his expectations, Webster emphasised the need for adaptability as technological advancements in AI continue to evolve rapidly.

Webster’s emphasis on organisations exercising caution in handling personal information within the realm of AI highlights the critical need to balance the potential gains in productivity with the inherent privacy risks involved. With the increasing reliance on AI systems like ChatGPT, it becomes crucial to address the challenges associated with managing and controlling the information fed into these systems.

One key concern lies in the difficulty of retrieving information once it has been input into AI systems. Unlike traditional data storage methods, where retrieval is relatively straightforward, AI systems often lack easily accessible mechanisms to retrieve specific information. This poses significant challenges in ensuring the accuracy, integrity, and privacy of the data that has been processed.

Furthermore, the controls governing the usage of personal information within AI systems are often limited in scope. As AI technologies rapidly advance, it becomes imperative to establish robust frameworks and mechanisms to regulate and govern the use of personal data. Without adequate controls, there is a risk of unauthorised access, misuse, or inappropriate handling of sensitive information, leading to privacy breaches and potential harm to individuals.

Webster’s warning reminds organisations to carefully evaluate and address these concerns before implementing AI solutions. Organisations must thoroughly assess AI’s potential risks and implications, especially when handling personal or confidential information. This includes considering the AI system’s privacy impact, security measures, and ethical considerations.

In light of these concerns, Webster emphasised that agencies should conduct comprehensive due diligence and privacy analyses to ensure compliance with the law before venturing into the realm of generative AI. He advised against incorporating personal or confidential information into AI systems unless explicit confirmation is obtained that such data will not be retained or reused. One alternative approach could involve removing any re-identifiable information from input data.

Considering the potential privacy implications, staff members were encouraged to evaluate the necessity and proportionality of using AI and to explore alternative methods if available. Seeking approval from supervisors and privacy officers and transparently informing customers about the use of AI were recommended practices. Additionally, Webster emphasised the importance of human review of any AI-generated information before taking any consequential actions based on it.

Webster further outlined the steps agencies should undertake when considering the implementation of AI. These include conducting due diligence, performing a privacy analysis, and carrying out a Privacy Impact Assessment. Seeking feedback from impacted communities, including Māori, and requesting clarification from AI providers regarding privacy protections designed into their systems were identified as critical components of the evaluation process.

Before this, the commissioner had communicated his concerns to government agencies, cautioning against the hasty adoption of AI without proper assessment. He underscored the need for a holistic, government-wide response to address the emerging challenges posed by this technology.

The Privacy Commissioner’s warnings emphasise the imperative of preserving privacy rights when utilising AI. Organisations must exercise caution, conduct thorough assessments, and implement adequate safeguards to protect personal information in the face of AI’s evolving landscape.

Digital Tech Transforms Chengdu’s Cold Chain Logistics Sector

China’s Chengdu Qingbaijiang Cold Chain Logistics Park has been constructed and is already active, providing e-commerce firms with integrated cold chain logistics services. In addition, the third phase of the Chengdu Yinli Agricultural Products Cold Chain Logistics Centre was started last month.

The Qingbaijiang sector of Chengdu’s national backbone cold chain logistics hub has already placed around 1.55 million cubic metres of cold chain storage into service, with numerous significant cold chain projects underway. Nearly 100 facilities with a construction increase of 10,000 cubic metres are planned to be erected over the next three years, driving the growth of Chengdu’s national backbone cold chain logistics hub.

At the Chengdu Qingbaijiang Cold Chain Logistics Park, cutting-edge innovations are on display in a single-story, high-density, and high-standard three-dimensional cold storage facility. The magnificent warehouse has a 17-metre ceiling, covers nearly six stories, and is home to hundreds of tonnes of reserve beef as well as neatly arranged steel frames. It has several cutting-edge characteristics and is Southwest China’s first high-standard thermal insulation warehouse.

A 10,000 square metre warehouse with a fully enclosed loading and unloading platform, a low-temperature hallway, movable three-dimensional shelves, high-rise electric forklifts, infrared sensor quick opening and closing doors, a 24-hour monitoring system and a cloud warehouse temperature control platform are all included in the warehouse.

It also boasts various digital systems including a smart security system. This warehouse stands out from conventional cold storage because it uses a cutting-edge external wall insulation system that guarantees stable insulation and sustained operational excellence.

Temperature levels in storage facilities and delivery vehicles can be monitored and controlled by digital sensors and IoT devices. Thus, the freshness and shelf life of the items are preserved, and the necessary temperatures are maintained throughout the distribution process.

By providing precise demand forecasting, optimising inventory levels, and reducing overstocking or understocking, digital technologies can assist reduce food waste. This helps create a cold chain distribution system that is more environmentally responsible and durable.

Further, higher-quality urban cold chain distribution services may increase efficiency, improve product quality, boost customer satisfaction, and take a more sustainable approach to food delivery by utilising digital innovation. The result of these developments is a more dependable and effective supply of perishable items in metropolitan areas, which benefits both businesses and consumers.

Chengdu believes that in terms of effectiveness, precision, scalability, real-time monitoring, data management, collaboration, customer experience, and innovation, digital technologies provide a substantial advantage that promotes organisational growth and success.

In addition, the complex is constantly flooded with cold chain logistics vehicles from across the nation, which causes a busy traffic situation inside the park. In Southwest China, Chengdu Yinli is renowned as a major distribution hub for frozen livestock and poultry products, aquatic products, dry goods, non-staple food items, fruits, and vegetables.

The completion of the third phase of the project, according to reports, will raise the entire park. It will include functions such as intelligent storage, production, processing, and urban distribution into its functioning. This will strengthen and broaden the industrial chain.

Reports also stated that the public will be able to enjoy even higher-quality urban cold chain distribution services in the future. During the succeeding building phases, the distribution centre intends to integrate sophisticated technologies such as artificial intelligence (AI) identification, automatic unloading, and automated handling to improve the park’s intelligence and modernisation.

Enhancing AI Precision for Plausible Explanations and Uncertainty Assessment

Although today’s artificial intelligence systems possess immense size and capability, they frequently struggle to differentiate between what is real and what is a hallucination. For instance, autonomous driving systems can fatally overlook pedestrians and emergency vehicles positioned directly in their path. Similarly, conversational AI systems confidently fabricate information and often provide inaccurate assessments of their level of uncertainty, particularly after undergoing reinforcement learning.

However, a collaboration between researchers at MIT and the University of California, Berkeley, has yielded a novel approach to constructing advanced AI inference algorithms. This method enables the algorithms to generate multiple plausible explanations for data while also accurately gauging the quality of these explanations.

The newly developed method utilises a mathematical technique called Sequential Monte Carlo (SMC). SMC algorithms are commonly used for uncertainty-calibrated AI to propose likely explanations for data and assess their plausibility as more information becomes available.

However, SMC falls short when applied to complex tasks due to the simplicity of generating probable explanations. Particularly in challenging domains like self-driving, where analysing video data, identifying objects, and predicting hidden motion paths are involved, sophisticated algorithms are required to make plausible guesses. Regular SMC cannot support such advanced algorithms.

The newly introduced SMC method with probabilistic program proposals (SMCP3) addresses these limitations. SMCP3 enables more intelligent approaches to generate probable explanations for data, update them based on new information, and accurately estimate their quality. Unlike previous versions of SMC, which only allowed simple strategies with calculable probabilities, SMCP3 allows using any probabilistic program that incorporates random choices. This flexibility enables sophisticated guessing procedures with multiple stages, overcoming the previous restriction.

The research paper on SMCP3 demonstrates that employing advanced proposal procedures can enhance the precision of AI systems in tracking 3D objects, analysing data, and improving the algorithms’ estimations of data likelihood. Previous studies conducted by MIT and other institutions have revealed that these estimations can be utilised to infer the effectiveness of an inference algorithm in explaining data compared to an idealised Bayesian reasoner.

George Matheos, the first co-author of the paper and soon-to-be MIT EECS PhD student, expressed great enthusiasm for SMCP3’s ability to enable the practical application of well-established, uncertainty-calibrated algorithms in complex problem scenarios where previous versions of SMC were ineffective.

Today, many new algorithms propose explanations based on data but often lack uncertainty calibration and fail to consider alternatives or assess their explanations. SMCP3 offers the potential to use these algorithms more effectively by incorporating uncertainty calibration, ensuring trustworthy AI systems for reliable and safe decision-making.

Vikash Mansinghka, the paper’s Senior Author, further explains, “Monte Carlo methods have been fundamental in computing and artificial intelligence since the advent of electronic computers.” However, designing and implementing them has always been challenging, requiring manual derivation of mathematical equations and awareness of intricate mathematical constraints. SMCP3 automates these complex mathematical aspects while expanding the range of possible designs.

May 29, 2023

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Singapore prepares for thriving 5G ecosystem

Singapore: Magnetic Muscle Therapy Reversing Ageing Trends

India’s Urban Future: Innovations in the Smart Cities Mission

AI to Accelerate Indonesia’s Banking System

The Philippines National Cybersecurity Plan Shaping a Secure Cyber Landscape

New Zealand Balancing Productivity and Privacy in the Age of AI

Digital Tech Transforms Chengdu’s Cold Chain Logistics Sector

Enhancing AI Precision for Plausible Explanations and Uncertainty Assessment

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Singapore: Magnetic Muscle Therapy Reversing Ageing Trends

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