Future of work

Huang says Chinese AI science is world class

NVIDIA’s CEO has praised China’s open-source AI work during a high-profile visit to Beijing, spotlighting DeepSeek as an example of world-class science and engineering.

At the International Supply Chain Expo, Huang highlighted the global value of Chinese contributions to AI research.

He told former Alibaba executive Wang Jian that Chinese researchers publish more AI papers than any other nation, calling their output A-plus in both science and engineering. Huang named DeepSeek, Alibaba, Tencent, MiniMax, and Baidu’s Ernie Bot globally significant AI leaders.

The visit coincides with a policy shift by the US government allowing Nvidia to resume H20 chip exports to China. Huang confirmed that export licenses are expected soon, potentially unlocking billions in lost revenue.

Industry watchers see this development as pivotal for Nvidia, which had paused shipments under earlier restrictions. The chipmaker’s renewed access to China’s semiconductor market could reshape global AI infrastructure over the next year.

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South Korea’s new Science Minister pledges AI-led national transformation

South Korea’s new Science and ICT Minister, Bae Kyung-hoon, has pledged to turn the nation into one of the world’s top three AI powerhouses.

Instead of following outdated methods, Bae outlined a bold national strategy centred on AI, science and technology, aiming to raise Korea’s potential growth rate to 3 per cent and secure a global economic leadership position.

Bae, a leading AI expert and former president of LG AI Research, officially assumed office on Thursday.

Drawing from experience developing hyperscale AI models like LG’s Exaone, he emphasised the need to build a unique competitive advantage rooted in AI transformation, talent development and technological innovation.

Rather than focusing only on industrial growth, Bae’s policy agenda targets a broad AI ecosystem, revitalised research and development, world-class talent nurturing, and addressing issues affecting daily life.

His plans include establishing AI-centred universities, enhancing digital infrastructure, promoting AI semiconductors, restoring grassroots research funding, and expanding consumer rights in telecommunications.

With these strategies, Bae aims to make AI accessible to all citizens instead of limiting it to large corporations or research institutes. His vision is for South Korea to lead in AI development while supporting social equity, cybersecurity, and nationwide innovation.

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AI system screens diabetic eye disease with near-perfect accuracy

A new AI programme is showing remarkable accuracy in detecting diabetic retinopathy, a leading cause of preventable blindness. The SMART system, short for Simple Mobile AI Retina Tracker, can scan retinal images using even basic smartphones and has achieved over 99% accuracy.

Researchers at the University of Texas Health Sciences Center in the US trained the AI using thousands of retinal images from diverse populations across six continents. The system processes images in under a second and can distinguish diabetic retinopathy from other eye diseases.

Experts say the technology could dramatically expand access to eye screenings, particularly in areas lacking specialist care. By integrating the tool into regular check-ups, both primary care providers and ophthalmologists could streamline early diagnosis.

Researchers highlighted that the tool’s mobile accessibility allows for global reach, potentially screening billions. The findings were presented at the annual meeting of The Endocrine Society, though they have yet to be peer-reviewed.

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AI tool uses walking patterns to detect early signs of dementia

Fujitsu and Acer Medical are trialling an AI-powered tool to help identify early signs of dementia and Parkinson’s disease by analysing patients’ walking patterns. The system, called aiGait and powered by Fujitsu’s Uvance skeleton recognition technology, converts routine movements into health data.

Initial tests are taking place at a daycare centre linked to Taipei Veterans Hospital, using tablets and smartphones to record basic patient movements. The AI compares this footage with known movement patterns associated with neurodegenerative conditions, helping caregivers detect subtle abnormalities.

The tool is designed to support early intervention, with abnormal results prompting follow-up by healthcare professionals. Acer Medical plans to expand the service to elderly care centres across Taiwan by the end of the year.

Fujitsu’s AI was originally developed for gymnastics scoring and adapted to analyse real-world gait data with high accuracy using everyday mobile devices. Both companies hope to extend the technology’s use to paediatrics, sports science, and rehabilitation in future.

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Thinking Machines Lab raises $2bn to build safer AI

Thinking Machines Lab, an AI startup founded earlier this year by former OpenAI executive Mira Murati, has raised $2 billion in new funding. The round, which values the company at $12 billion, was led by Andreessen Horowitz and backed by Nvidia, Cisco, AMD, and others.

The company aims to develop safer and more reliable AI systems by focusing on how people naturally interact with the world, including speech and vision. Its first product, due in the coming months, will offer open-source components designed to support researchers and startups.

At launch, nearly two-thirds of the team had previously worked at OpenAI, underscoring the company’s ambition to lead in the field of frontier AI. Murati said the startup plans to make its science publicly available to support understanding and transparency.

The investment comes amid a surge in AI-related funding, which accounted for over 64% of all US startup deal value in the first half of 2025. Growing interest in generative and multimodal AI continues to attract major capital despite wider concerns over tech sector spending.

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AI Appreciation Day highlights progress and growing concerns

AI is marking another milestone as experts worldwide reflect on its rapid rise during AI Appreciation Day. From reshaping business workflows to transforming customer experiences, AI’s presence is expanding — but so are concerns over its long-term implications.

Industry leaders point to AI’s growing role across sectors. Patrick Harrington from MetaRouter highlights how control over first-party data is now seen as key instead of just processing large datasets.

Vall Herard of Saifr adds that successful AI implementations depend on combining curated data with human oversight rather than relying purely on machine-driven systems.

Meanwhile, Paula Felstead from HBX Group believes AI could significantly enhance travel experiences, though scaling it across entire organisations remains a challenge.

Voice AI is changing industries that depend on customer interaction, according to Natalie Rutgers from Deepgram. Instead of complex interfaces, voice technology is improving communication in restaurants, hospitals, and banks.

At the same time, experts like Ivan Novikov from Wallarm stress the importance of securing AI systems and the APIs connecting them, as these form the backbone of modern AI services.

While some celebrate AI’s advances, others raise caution. SentinelOne’s Ezzeldin Hussein envisions AI becoming a trusted partner through responsible development rather than unchecked growth.

Naomi Buckwalter from Contrast Security warns that AI-generated code could open security gaps instead of fully replacing human engineering, while Geoff Burke from Object First notes that AI-powered cyberattacks are becoming inevitable for businesses unable to keep pace with evolving threats.

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Meta unveils 5GW AI data centre plans

Meta has unveiled plans to build a 5GW data centre in Louisiana, part of a significant expansion of its AI infrastructure. CEO Mark Zuckerberg said the Hyperion complex will cover an area nearly the size of Manhattan, with the first 1.5GW phase expected online in 2026.

The company is also constructing a 1GW cluster named Prometheus in US, Ohio, which combines Meta-owned infrastructure with leased systems. Both projects will use a mix of renewable and natural gas power, underlining Meta’s strategy to ramp up compute capacity rapidly.

Zuckerberg stated Meta would invest hundreds of billions of dollars into superintelligence development, supported by elite talent recruited from major rivals. He added that the new data centres would offer the highest compute-per-researcher in the industry.

Amidst growing demand, Meta recently sought $29 billion in financing and secured 1GW of renewable power. Yet the expansion has raised environmental concerns, with one data centre in Georgia reportedly consuming 10% of a county’s water supply.

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OpenAI economist shares four key skills for kids in AI era

As AI reshapes jobs and daily life, OpenAI’s chief economist, Ronnie Chatterji, teaches his children four core skills to help them adapt and thrive.

Instead of relying solely on technology, he believes critical thinking, adaptability, emotional intelligence, and financial numeracy will remain essential.

Chatterji highlighted these skills during an episode of the OpenAI podcast, saying critical thinking helps children spot problems rather than follow instructions. Given constant changes in AI, climate, and geopolitics, he stressed adaptability as another priority.

Rather than expecting children to master coding alone, Chatterji argues that emotional intelligence will make humans valuable partners alongside AI.

The fourth skill he emphasises is financial numeracy, including understanding maths without calculators and maintaining writing skills even with dictation software available. Instead of predicting specific future job titles, Chatterji believes focusing on these abilities equips children for any outcome.

His approach reflects a broader trend among tech leaders, with others like Alexis Ohanian and Sam Altman also promoting AI literacy while valuing traditional skills such as reading, writing, and arithmetic.

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Women see AI as more harmful across life settings

Women are showing more scepticism than men when it comes to AI particularly regarding its ethics, fairness and transparency.

A national study from Georgetown University, Boston University and the University of Vermont found that women were more concerned about AI’s risks in decision-making. Concerns were especially prominent around AI tools used in the workplace, such as hiring platforms and performance review systems.

Bias may be introduced when such tools rely on historical data, which often underrepresents women and other marginalised groups. The study also found that gender influenced compliance with workplace rules surrounding AI use, especially in restrictive environments.

When AI use was banned, women were more likely to follow the rules than men. Usage jumped when tools were explicitly permitted. In cases where AI was allowed, over 80% of both women and men reported using the tools.

Women were generally more wary of AI’s impact across all areas of life — not just in the professional sphere. From personal settings to public life, survey respondents who identified as women consistently viewed AI as more harmful than beneficial.

The study, conducted via Qualtrics in August 2023, surveyed a representative US sample with a majority of female respondents. On average, participants were 45 years old, with over half identifying as women across different educational and professional backgrounds.

The research comes amid wider concerns in the AI field about ethics and accountability, often led by women researchers. High-profile cases include Google’s dismissal of Timnit Gebru and later Margaret Mitchell, both of whom raised ethical concerns about large language models.

The study’s authors concluded that building public trust in AI may require clearer policies and greater transparency in how systems are designed. They also highlighted the importance of increasing diversity among those developing AI tools to ensure more inclusive outcomes.

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Claude integrates Canva to power AI-first workflows

Claude AI has introduced integration with Canva, enabling users to generate and manage design content using simple text prompts. The new feature allows paid users to create presentations, edit visuals, and explore templates directly within Claude’s chat interface.

Alongside Canva, Claude now supports additional connectors like Notion, Stripe, and desktop apps like Figma and Prisma, expanding its ability to fetch and process data contextually. These integrations are powered by the open-source Model Context Protocol (MCP).

Canva’s head of ecosystem highlighted that users can now generate, summarise, and publish designs in one continuous workflow within Claude. The move represents another step toward AI-first productivity, removing the need for manual app-switching during the creative process.

Claude is the first AI assistant to enable Canva workflows through MCP, following recent partnerships with tools like Figma. A new integrations directory has also launched, helping users discover compatible apps for both web and desktop experiences.

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