Capacity development

Malaysia expands national AI strategy through Microsoft partnership

Malaysia is strengthening its national AI strategy through an expanded partnership with Microsoft, launching the Microsoft Elevate initiative to accelerate AI readiness across society.

The programme aligns with the country’s AI Nation 2030 ambitions and extends digital skills development beyond traditional sectors.

An initiative that targets educators, public sector institutions, small businesses and wider communities, aiming to embed practical AI capabilities into everyday economic and social activity.

Early deployment has already reached tens of thousands of learners, reflecting a shift from pilot programmes to large-scale national implementation.

Government and industry leaders in Malaysia emphasise that long-term competitiveness depends not only on technological investment but on widespread adoption and understanding of AI tools.

The programme therefore prioritises workforce activation, institutional capacity and sustainable integration across sectors.

Malaysia’s approach reflects a broader global trend where public–private partnerships are increasingly central to AI development, focusing on inclusive access, responsible use and real-world application rather than purely technological advancement.

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MIT releases largest Olympiad math dataset for AI and education

Researchers from the Massachusetts Institute of Technology, alongside partners at King Abdullah University of Science and Technology and HUMAIN, have created MathNet, described as the largest curated dataset of Olympiad-level mathematics assembled to date.

The collection includes more than 30,000 expert-written problems and solutions from 47 countries, spanning 17 languages and multiple decades of competitions.

Unlike earlier datasets focused mainly on a small number of dominant regions, MathNet captures a broader global spread of mathematical traditions, including both text- and image-based problems sourced from official competition booklets. Researchers compiled and standardised thousands of pages of archived material, creating a structured resource intended for both AI evaluation and student training.

The dataset is also designed to test AI systems more rigorously. Early results show that leading models still struggle with complex reasoning, multilingual problems, and visual tasks, underlining uneven progress despite rapid advances in mathematical AI performance.

Beyond benchmarking, MathNet introduces tools for analysing problem similarity and improving retrieval-based learning. Early findings suggest that even advanced models often struggle to identify equivalent mathematical structures across different formats and languages.

Why does it matter?

MathNet highlights persistent gaps in how advanced AI systems reason under strict, competition-level conditions, while also creating a practical resource for education and student preparation. That dual role makes it both a stronger benchmark for mathematical reasoning and a useful tool for learners preparing for high-level mathematics competitions.

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Nigeria’s TETFund supports AI research and digital development in universities

The Tertiary Education Trust Fund has outlined efforts to support AI research and digital development in higher education institutions. The initiative focuses on strengthening research capacity and innovation.

According to the authority, funding is being directed towards projects that promote technological advancement, including AI-related studies and infrastructure. This aims to enhance academic output and relevance.

The authority also highlights the importance of building skills and supporting researchers to engage with emerging technologies. The approach is intended to improve competitiveness and knowledge creation.

Why does it matter?

The authority presents the initiative as part of broader efforts to advance research and innovation in the education sector in Nigeria.

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Austria hosts the first Google data centre in the Alpine region

Google has announced its first data centre investment in Austria, marking an expansion of digital infrastructure in the Alpine region.

The facility, to be built in Kronstorf, is expected to create around 100 direct jobs while supporting growing demand for cloud services and AI capabilities across Europe.

The investment reflects a broader push to strengthen Europe’s digital competitiveness through infrastructure linked to AI-driven growth. By expanding its network capacity, Google says it aims to enhance the performance, reliability, and scalability of its services, helping regional economies remain connected to global digital ecosystems.

Sustainability is a central part of the project. The data centre will incorporate measures such as renewable energy integration, heat recovery systems, and water quality initiatives linked to the nearby Enns River.

These efforts align with wider industry trends towards greener data infrastructure and lower environmental impact.

Alongside infrastructure development, Google is also investing in workforce skills through partnerships with local institutions, including the University of Applied Sciences Upper Austria.

Building on previous training initiatives that have reached more than 140,000 people, the programme aims to equip workers with skills relevant to an AI-driven economy, reinforcing the link between digital infrastructure and human capital development.

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UNESCO highlights barriers facing students with disabilities in education systems

Efforts to expand inclusive education in Latin America continue to face structural challenges, as new findings presented by UNESCO highlight persistent gaps in data and policy implementation.

During a regional congress in Paraguay, experts stressed that the lack of reliable and comparable data on students with disabilities remains a major barrier to designing effective education systems. UNESCO presents stronger data systems as essential to making inequalities visible and improving public decision-making.

The analysis draws on the Regional Educational Information System on Students with Disabilities, known as SIRIED, which aims to strengthen evidence-based decision-making across the region through comparable and regularly updated information.

While progress has been recorded in access to education, particularly at the primary level, participation remains uneven. Attendance is significantly lower in early childhood education and declines again in secondary schooling, reflecting systemic issues such as late identification of disabilities and insufficient support mechanisms.

Students with disabilities are more likely to repeat grades, enrol at an older age, and leave school early than their peers. UNESCO’s findings suggest that dropout remains a persistent problem, especially at higher levels of education. Although many students are enrolled in mainstream schools, institutions often lack the infrastructure, training, and resources needed to ensure full inclusion.

The findings also point to gender disparities, with girls facing greater obstacles in access, retention, and progression. Despite improvements in legal frameworks recognising inclusive education as a right, implementation remains uneven across countries.

UNESCO emphasises that strengthening data systems such as SIRIED is essential not only to revealing inequalities, but also to supporting policies capable of delivering meaningful educational inclusion.

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India forms expert committee to support AI governance framework

India’s Ministry of Electronics and Information Technology has constituted a Technology and Policy Expert Committee to support the country’s AI governance architecture. The committee will advise the AI Governance and Economic Group (AIGEG) on policy design, regulatory measures, and international engagement.

The committee is chaired by the ministry’s Secretary and includes experts from academia, industry, and digital policy. Its mandate is to provide informed input grounded in technological developments, regulatory approaches, and global practices.

AIGEG will set strategic direction and coordinate policy across government. The expert committee will translate technical and policy issues into actionable insights for decision-making.

The framework aims to ensure a dynamic and adaptive approach to AI governance. It also seeks to align strategic, technical, and policy considerations with India’s social and economic context.

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Malaysia aligns workplace safety reforms with ILO standards

Malaysia is stepping up efforts to strengthen occupational safety and health by aligning national reforms with International Labour Organisation standards, advancing the implementation of key labour conventions and preparing for a new phase of policy development. Convention No. 155 provides the core framework for national occupational safety and health policy and employer responsibilities, while Convention No. 187 focuses on building a national system and programme for continuous improvement.

A national workshop in Kuala Lumpur brought together representatives of government, employers, workers, and industry to improve coordination on occupational safety and health governance. The discussions centred on how to strengthen the implementation of Conventions No. 155 and No. 187 through a more coherent national framework, reflecting the ILO’s broader view that effective workplace safety depends on a connected system of policy, institutions, and social dialogue rather than isolated legal measures.

Attention is also turning to Malaysia’s next National Occupational Safety and Health Policy and the OSH Master Plan 2026–2030, which are expected to shape the country’s longer-term approach to workplace risk prevention and institutional coordination. In ILO terms, that matters because national OSH frameworks are meant to combine policy, system, and programme into a single structure for continuous improvement.

The initiative points to a broader emphasis on shared responsibility for safer workplaces. Convention No. 155 places obligations on governments to maintain a coherent national policy and on employers to ensure safe working environments, while Convention No. 187 promotes a preventative safety and health culture through cooperation with employers and workers. That makes sustained coordination between public authorities, businesses, and labour representatives central to any credible reform effort.

The wider significance of the move lies in how Malaysia is linking labour standards to governance capacity. Aligning national policy with international standards can help clarify responsibilities, strengthen enforcement, and support more consistent prevention across sectors. Over time, that can contribute not only to safer working conditions, but also to more resilient labour markets and more predictable operating environments for employers and workers alike.

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IWF and Utropolis partnership strengthens AI-driven child online safety

The Internet Watch Foundation (IWF) has announced a new partnership with Utropolis, marking a step forward in efforts to strengthen online child protection. The collaboration brings together established detection tools and emerging AI-driven safeguarding technologies.

Utropolis specialises in cloud-based filtering systems designed to identify risks in real time, particularly in school environments.

By integrating IWF datasets, including verified lists of harmful content, the platform aims to improve prevention and detection capabilities while helping educators maintain safer digital spaces.

The initiative reflects a broader trend towards combining AI with established regulatory and safeguarding frameworks. As harmful material continues to spread online, organisations are increasingly focusing on scalable, automated solutions that can adapt to evolving threats.

The partnership also aligns with UK online safety standards in education, reinforcing compliance requirements and strengthening institutional responses.

As digital environments continue to expand, collaborations of this kind highlight the growing role of AI in supporting child protection strategies.

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UK invests £500 million in Sovereign AI fund to boost startups

The UK government has launched a £500 million Sovereign AI initiative to support domestic startups, aiming to strengthen national capabilities and reduce reliance on foreign technology providers.

The programme is designed to help companies start, scale and compete globally while remaining rooted in Britain.

An initiative that combines direct investment with broader support, including fast-track visas, access to high-performance computing and assistance in navigating regulation and procurement.

Early backers target firms working on advanced AI infrastructure, life sciences and next-generation computing, reflecting a strategic focus on sectors with long-term economic and security implications.

A central feature is access to national supercomputing resources, addressing one of the most significant barriers to AI development.

By providing large-scale compute capacity and linking it to potential future investment, the programme aims to accelerate research, testing and deployment within the UK ecosystem.

Essentially, the policy signals a shift toward a more interventionist approach, positioning the state as an active investor rather than a passive regulator.

The objective is to anchor innovation domestically, ensuring that intellectual property, talent and economic value remain within the UK as global competition in AI intensifies.

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OpenAI accelerates life sciences research with a new specialised model

OpenAI has launched GPT-Rosalind, a purpose-built model. It is designed to support complex workflows in biology, drug discovery and translational medicine.

A system that focuses on improving reasoning across scientific domains, enabling researchers to process large volumes of data, literature and experimental inputs more efficiently.

The model is engineered to assist with early-stage discovery, where improvements can significantly influence downstream outcomes.

By supporting hypothesis generation, evidence synthesis and experimental design, GPT-Rosalind aims to streamline fragmented research processes that often slow scientific progress.

Integration with specialised tools and access to more than 50 scientific databases enable the new OpenAI model to operate across multi-step workflows.

Why does it matter?

Early evaluations indicate stronger performance in areas such as protein analysis, genomics and chemical reasoning, alongside improved capability in selecting and using domain-specific tools.

Access is currently limited through a controlled deployment framework, ensuring use within governed research environments.

Partnerships with organisations including Amgen and Moderna reflect a broader effort to apply AI to real-world scientific challenges while maintaining safeguards and oversight.

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