Capacity development

NATO and Seoul expand cybersecurity dialogue and defence ties

South Korea and NATO have pledged closer cooperation on cybersecurity following high-level talks in Seoul this week, according to Yonhap News Agency.

The discussions, led by Ambassador for International Cyber Affairs Lee Tae Woo and NATO Assistant Secretary General Jean-Charles Ellermann-Kingombe, focused on countering cyber threats and assessing risks in the Indo-Pacific and Euro-Atlantic regions.

Launched in 2023, the high-level cyber dialogue aims to deepen collaboration between South Korea and NATO in the cybersecurity domain.

The meeting followed talks between Defence Minister Ahn Gyu-back and NATO Military Committee chair Giuseppe Cavo Dragone during the Seoul Defence Dialogue earlier this week.

Dragone said cooperation would expand across defence exchanges, information sharing, cyberspace, space, and AI as ties between Seoul and NATO strengthen.

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New AI and digital ministry in Kazakhstan to drive national transformation

Kazakhstan is stepping up its digital ambitions with President Kassym-Jomart Tokayev announcing the creation of a Ministry of Artificial Intelligence and Digital Development. Speaking during his annual state-of-the-nation address, Tokayev said the move is part of the country’s goal to become a fully digital nation within three years.

The new ministry will lead efforts to modernise the economy through AI, big data, and platform technologies, guided by a forthcoming national strategy called Digital Kazakhstan. Tokayev stressed that digital transformation is not optional but essential for Kazakhstan, which he described as being at the crossroads of global technological shifts.

He warned that while opportunities are vast, challenges such as geopolitical tensions, economic inequality, and even AI-based weapons are on the rise. For Kazakhstan, he said, the priority is to ensure stability, prosperity, and a secure future for the younger generation by embracing decisive reforms and adapting to the new technological order.

A major part of this vision is the development of Alatau City, a planned innovation hub near Almaty. Designed as the country’s first fully digital city, it will feature Smart City technologies, digital payments, and cryptocurrency use. Tokayev revealed that land and infrastructure are already prepared, and international partnerships, including with a Chinese company behind Shenzhen’s rise, are set to drive the project forward.

To secure Alatau City’s success, the government plans to grant it special status under direct state supervision within days, followed by a new law defining its governance and financial structure. Tokayev emphasised that the project is not merely a showcase but a practical step toward positioning Kazakhstan as a leader in digital innovation, blending cutting-edge technology with modern urban living.

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China creates brain-inspired AI model

Chinese scientists have unveiled SpikingBrain1.0, the world’s first large-scale AI language model to replicate the human brain. The model reduces energy use and runs independently of Nvidia chips, departing from conventional AI architectures.

Developed by the Chinese Academy of Sciences, SpikingBrain1.0 uses spiking neural networks to activate only the required neurons for each task, rather than processing all information simultaneously.

Instead of evaluating every word in parallel, it focuses on the most recent and relevant context, enabling faster and more efficient processing. Researchers claim the model operates 25 to 100 times faster than traditional AI systems while keeping accuracy competitive.

A significant innovation is hardware independence. SpikingBrain1.0 runs on China’s MetaX chip platform, reducing reliance on Nvidia GPUs. It also requires less than 2% of the data typically needed for pre-training large language models, making it more sustainable and accessible.

SpikingBrain1.0 could power low-energy, real-time applications such as autonomous drones, wearable devices, and edge computing. The model highlights a shift toward biologically-inspired AI prioritising efficiency and adaptability over brute-force computation.

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OpenAI moves to for-profit with Microsoft deal

Microsoft and OpenAI have agreed to new non-binding terms that will allow OpenAI to restructure into a for-profit company, marking a significant shift in their long-standing partnership.

The agreement sets the stage for OpenAI to raise capital, pursue additional cloud partnerships, and eventually go public, while Microsoft retains access to its technology.

The previous deal gave Microsoft exclusive rights to sell OpenAI tools via Azure and made it the primary provider of compute power. OpenAI has since expanded its options, including a $300 billion cloud deal with Oracle and an agreement with Google, allowing it to develop its own data centre project, Stargate.

OpenAI aims to maintain its nonprofit arm, which will receive more than $100 billion from the projected $500 billion private market valuation.

Regulatory approval from the attorneys general of California and Delaware is required for the new structure, with OpenAI targeting completion by the end of the year to secure key funding.

Both companies continue to compete across AI products, from consumer chatbots to business tools, while Microsoft works on building its own AI models to reduce reliance on OpenAI technology.

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Qwen3-Next strengthens Alibaba’s position in global AI race

Alibaba has open-sourced its latest AI model, Qwen3-Next, claiming it is ten times more powerful and cheaper to train than its predecessor.

Developed by Alibaba Cloud, the 80-billion-parameter model reportedly performs on par with the company’s flagship Qwen3-235B-A22B while remaining optimised for deployment on consumer-grade hardware.

Qwen3-Next introduces innovations such as hybrid attention for long text processing, high-sparsity mixture-of-experts architecture, and multi-token prediction strategies. These upgrades boost both efficiency and model stability during training.

Alibaba also released Qwen3-Next-80B-A3B-Thinking, a reasoning-focused model that outperformed its own Qwen3-32B-Thinking and Google’s Gemini-2.5-Flash-Thinking in benchmark tests.

The release strengthens Alibaba’s position as a major player in open-source AI, following last week’s preview of its 1-trillion-parameter Qwen-3-Max model, which ranked sixth on UC Berkeley’s LMArena leaderboard.

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Japan plans first national AI strategy

Japan is preparing its first national AI basic plan to boost AI adoption in public institutions and beyond. The draft sets out four core policies to balance innovation with risk management, with final Cabinet approval expected later this year.

The plan targets low AI usage rates in the country, around 20% for individuals and 50% for corporations. Policies include accelerating AI adoption, strengthening development capacity, leading in AI governance, and fostering continuous social transformation toward an AI-integrated society.

Government bodies and municipalities are expected to lead by example, improving efficiency and enhancing defence capabilities.

High-quality data, a key factor in AI accuracy, is a national strength. The plan stresses the importance of human-AI collaboration, calls for robust copyright and liability frameworks, and identifies risks such as errors, disinformation, and threats to national security.

Authorities plan thorough investigations of rights infringements and aim to help shape international AI rules.

The draft will be presented at the AI strategy headquarters meeting, chaired by Prime Minister Shigeru Ishiba, before being refined by an expert panel and finalised within the year.

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Bank of Russia plans crypto derivatives access for funds

The Bank of Russia plans to allow investment funds to purchase cryptocurrency derivatives next year, a senior official confirmed at the Capital Markets 2025 forum. Currently, only brokers can offer such instruments to qualified investors.

Deputy head of the bank’s Investment Finance Intermediation Department, Valery Krasinsky, explained that the move aims to level the playing field for management companies. Futures on Bitcoin ETFs are available via brokers, and mutual funds could soon access them under new rules.

Access to crypto funds will remain limited to highly qualified investors. Individuals must meet strict financial thresholds, including securities and deposits exceeding 100 million rubles or an annual income of over 50 million.

The CBR is also finalising a list of base assets for derivative financial instruments, with a draft regulatory act expected in 2026.

Authorities have indicated a cautious expansion of investor access. The Ministry of Finance is considering easing the criteria for ‘highly qualified’ investors, signalling a gradual opening of Russia’s crypto market while preserving the dominance of traditional stock and bond investments.

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Nurabot to assist nurses with routine tasks

Global health care faces a severe shortage of workers, with WHO projecting a deficit of 4.5 million nurses by 2030. Around one-third of nurses already experience burnout, and high turnover rates exacerbate staffing pressures.

Foxconn’s new AI-powered nursing robot, Nurabot, is designed to assist with repetitive and physically demanding tasks, potentially reducing nurses’ workload by up to 30%.

Nurabot moves autonomously around hospital wards, delivers medication, and guides patients, using a combination of Foxconn’s Chinese large language model and NVIDIA’s AI platforms.

Built with Kawasaki Heavy Industries, the robot was adapted and trained virtually to navigate hospital wards safely. Testing at Taichung Veterans General Hospital since April 2025 has shown promising results, with Foxconn planning a commercial launch in early 2026.

The ageing population and rising patient demand are straining health care systems worldwide. Experts say AI robots can boost efficiency and save the workforce, but issues remain, including patient preference, hospital design, safety, and data ethics.

Hospitals may need redesigns to accommodate free-moving humanoid robots effectively.

While robots like Nurabot cannot replace nurses, they can support staff by handling routine tasks and freeing professionals to provide critical patient care. The smart hospital market, worth $72.24 billion in 2025, shows rising investment in AI and robotics to address staff shortages and ageing populations.

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Egypt launches AI readiness report with EU support

Egypt has released its first AI Readiness Assessment Report, developed by the Ministry of Communications and Information Technology with UNESCO Cairo and supported by the EU funding.

The report reviews Egypt’s legal, policy, institutional and technical environment, highlighting the strengths and gaps in the country’s digital transformation journey. It emphasises ensuring that AI development is human-centred and responsibly governed.

EU officials praised Egypt’s growing leadership in ethical AI governance and reiterated their support for an inclusive digital transition. Cooperation between Egypt and the EU is expected to deepen in digital policy and capacity-building areas.

The assessment aims to guide future investments and reforms, ensuring that AI strengthens sustainable development and benefits all segments of Egyptian society.

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AI smart glasses give blind users new independence

Smart glasses powered by AI give people with vision loss new ways to navigate daily life, from cooking to crossing the street.

Users like Andrew Tutty in Ontario say the devices restore independence, helping with tasks such as identifying food or matching clothes. Others, like Emilee Schevers, rely on them to confirm traffic signals before crossing the road.

The AI glasses, developed by Meta, are cheaper than many other assistive devices, which can cost thousands. They connect to smartphones, using voice commands and apps like Be My Eyes to describe surroundings or link with volunteers.

Experts, however, caution that the glasses come with significant privacy concerns. Built-in cameras stream everything within view to large tech firms, raising questions about surveillance, data use and algorithmic reliability.

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