Capacity development Archives | Page 119 of 328

Generative AI use grows across the EU

In 2025, nearly a third of people aged 16–74 across the European Union reported using generative AI tools, according to Eurostat. Most respondents used AI for personal tasks, while fewer applied it for work or education.

The survey data illustrate how generative AI is becoming a part of daily life for millions of Europeans, offering new ways to interact with technology and access creative tools that were once limited to specialists.

Generative AI tools are capable of producing new content, including text, images, videos, programming code, or other forms of data, based on patterns learned from existing examples. Users provide input or prompts, such as instructions or questions, which the AI then uses to generate tailored outputs.

This accessibility is helping people across the EU experiment with technology for both practical and recreational purposes, from drafting documents to designing visuals or exploring creative ideas, demonstrating the growing influence of AI on digital culture and personal productivity.

Adoption of generative AI varies significantly across the EU. Denmark, Estonia, and Malta recorded the highest usage, with nearly half of residents actively engaging with these tools, while Romania, Italy, and Bulgaria showed the lowest uptake, with fewer than a quarter of the population using AI.

These differences may reflect variations in digital infrastructure, education, and public awareness, as well as cultural attitudes toward emerging technologies.

Overall, the Eurostat data provide a snapshot of a digital landscape in transition, reflecting how Europeans are adapting to a new era of intelligent technology.

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OpenAI’s GPT-5 shows a breakthrough in wet lab biology

New research has been published by OpenAI, examining whether advanced AI models can accelerate biological research within the wet lab, rather than just supporting theoretical science.

Working with biosecurity firm Red Queen Bio, researchers tested GPT-5 within a tightly controlled molecular cloning system designed to measure practical laboratory improvements.

Across multiple experimental rounds, GPT-5 independently proposed protocol modifications, analysed results and refined its approach using experimental feedback.

The model introduced a previously unexplored enzymatic mechanism that combines RecA and gp32 proteins, along with adjustments to reaction timing and temperature, resulting in a 79-fold increase in cloning efficiency compared to the baseline protocol.

OpenAI emphasises that all experiments were carried out under strict biosecurity safeguards and still relied on human scientists to execute laboratory work.

Even so, the findings suggest AI systems could work alongside researchers to reduce costs, accelerate experimentation and improve scientific productivity while informing future safety and governance frameworks.

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AI and crypto reshape holiday shopping this year

Visa survey data points to a significant shift in holiday shopping behaviour, with AI now embedded in everyday purchasing decisions. Nearly half of US consumers report using AI tools, mainly to discover gift ideas and compare prices more efficiently.

Digital currencies are also moving closer to the mainstream. More than one in four respondents would welcome cryptocurrency as a gift, while interest among Gen Z rises sharply. Expectations surrounding stablecoins are growing, with many consumers anticipating their wider adoption over the next decade.

Gen Z continues to lead adoption of digital-first commerce, favouring biometrics, social media shopping, overseas purchases and crypto payments.

Digital wallets are gaining parity with physical cards among younger shoppers, signalling a shift in payment method preferences.

Despite enthusiasm for new technologies, trust remains a central concern. Consumers still value human customer service and want clearer insight into how AI uses personal data, while concerns about online scams remain widespread during the holiday season.

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AI models reach human-level language analysis

Researchers found that some large language models can analyse language like a human linguistics graduate. The models diagram sentences, resolve ambiguities and process recursive structures, showing advanced metalinguistic abilities.

The study used specially crafted sentences and invented mini-languages to prevent memorisation. OpenAI’s o1 model correctly applied complex syntactic and phonological rules for entirely new languages.

Experts say the results challenge long-held assumptions about human uniqueness in language. The models have yet to produce original insights, but their reasoning skills match graduate-level performance.

Findings suggest AI may eventually surpass humans in linguistic analysis. Researchers believe continued progress will enable models to generalise better, learn from less data, and handle language creatively.

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Vietnam expands 5G and strengthens digital trust

Vietnam’s 5G network now reaches approximately 59 percent of the population, slightly over one year after commercial services launched in October 2024.

Government data presented at Internet Day 2025 show that Vietnam ranks 10th globally for fixed broadband speed and 15th for mobile broadband, reflecting rapid improvements in national connectivity.

Officials described the Internet as a second living space for citizens, with nearly 80 million users spending an average of seven hours online each day for work, education and social interaction.

Authorities highlighted that expanded 5G coverage supports the development of a digital economy, e-government services and a more connected digital society.

Alongside infrastructure growth, policymakers stressed the need for stronger digital trust.

Vietnam is shifting towards clearer legal frameworks instead of reliance on voluntary self-regulation, while prioritising cybersecurity, data governance and protection against online fraud, deepfakes and AI-driven deception to sustain long-term digital transformation.

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Language models impress but miss real-world understanding

Leading AI researcher Yann LeCun has argued that large language models only simulate understanding rather than genuinely comprehending the world. Their intelligence, he said, lacks grounding in physical reality and everyday common sense.

Despite being trained on vast amounts of online text, LLMs struggle with unfamiliar situations, according to LeCun. Real-world experience, he noted, provides richer learning than language alone ever could.

Drawing on decades in AI research, LeCun warned that enthusiasm around LLMs mirrors earlier hype cycles that promised human-level intelligence. Similar claims have repeatedly failed to deliver since the 1950s.

Instead of further scaling language models, LeCun urged greater investment in ‘world models’ that can reason about actions and consequences. He also cautioned that current funding patterns risk sidelining alternative approaches to AI.

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Microsoft outlines how AI is shifting from tools to partners in 2026

AI is entering a new phase, with 2026 expected to mark a shift from experimentation to real-world collaboration. Microsoft executives describe AI as an emerging partner that amplifies human expertise rather than replacing it.

Microsoft says the impact is becoming visible across healthcare, software development, and scientific research. AI tools embedded in Microsoft products are supporting diagnosis, coding, and research workflows.

With the expansion of AI agents across all platforms, organisations are strengthening safeguards to manage new risks. Security leaders argue agents will require clear identities, restricted access, and continuous monitoring.

Microsoft also points to changes in the infrastructure powering AI. The company says future systems will prioritise efficiency and intelligence output, supported by distributed and hybrid cloud architectures.

Looking further ahead, the convergence of AI, supercomputing, and quantum technologies stands out as the main highlight. Hybrid approaches, the company says, are bringing practical quantum advantage closer for applications in materials science, medicine, and research.

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UK launches taskforce to boost women in tech

The UK government has formed a Women in Tech taskforce to help more women enter, remain and lead across the technology sector. Technology secretary Liz Kendall will guide the group alongside industry figures determined to narrow long-standing representation gaps highlighted by recent BCS data.

Members include Anne-Marie Imafidon, Allison Kirkby and Francesca Carlesi, who will advise ministers on boosting diversity and supporting economic growth. Leaders stress that better representation enables more inclusive decision-making and encourages technology built with wider perspectives in mind.

The taskforce plans to address barriers affecting women’s progression, ranging from career access to investment opportunities. Organisations such as techUK and the Royal Academy of Engineering argue that gender imbalance limits innovation, particularly as the UK pursues ambitious AI goals.

UK officials expect working groups to develop proposals over the coming months, focusing on practical steps that broaden the talent pool. Advocates say the initiative arrives at a crucial moment as emerging technologies reshape employment and demand more inclusive leadership.

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Africa urged to focus on practical, local AI solutions rather than frontier models

Africa cannot realistically compete with the massive capital and computing resources driving frontier AI research in the United States and China, and it does not need to do so.

Instead, Nicholas Okumu contends, the continent’s AI strategy should pivot toward building efficient, practical systems tailored to local needs, from healthcare triage tools in referral hospitals to agriculture, education and public finance solutions grounded in African contexts.

Large, resource-intensive models require infrastructure and ecosystems that most African nations cannot marshal, but smaller, efficient models can perform high-value, domain-specific tasks on ordinary hardware.

Drawing on events from innovation forums and real-world examples, the columnist argues that Africa’s historical experience of innovation under constraint positions it well to lead in relevant, efficient AI applications rather than replicating the ambitions of frontier labs.

The article outlines a three-phase pathway: first, building foundational datasets governed by national or regional frameworks; second, deploying AI where it can deliver transformative value; and third, scaling successful tools to regions with similar development constraints.

If this strategy is followed, the piece argues, African-designed AI systems, particularly those that work well in low-resource environments, could become globally valuable.

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Taiwan hospital deploys AI robots to assist healthcare workers

Taichung Municipal Hospital for Geriatric Rehabilitation and Comprehensive Care has introduced 20 AI-enabled Aibo robots to support medical staff, help mitigate labour shortages and improve patient services.

The Aibo robots, developed by China Medical University Hospital and EverBot Technology, can guide inpatients, offer basic health education, conduct telemedicine interactions via built-in cameras and respond quickly to questions, learning from each interaction to improve accuracy.

Each robot features autonomous navigation and obstacle avoidance, and is integrated with hospital systems, allowing one AI server to manage up to 30 units simultaneously while protecting patient data with firewall security.

The hospital also uses other AI systems, such as an ambulance-linked platform for early heart-attack detection, while additional Taiwanese medical facilities are expanding robotic support for deliveries, patient interaction and surgical assistance.

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