Artificial intelligence

Japan’s KDDI partners with Google for AI-driven news service

Japan’s telecom leader KDDI is set to partner with Google to introduce an AI-powered news search service in spring 2026. The platform will use Google’s Gemini model to deliver articles from authorised Japanese media sources while preventing copyright violations.

The service will cite original publishers and exclude independent web scraping, addressing growing global concerns about the unauthorised use of journalism by generative AI systems. Around six domestic media companies, including digital outlets, are expected to join the initiative.

KDDI aims to strengthen user trust by offering reliable news through a transparent and copyright-safe AI interface. Details of how the articles will appear to users are still under review, according to sources familiar with the plan.

The move follows lawsuits filed in Tokyo by major Japanese newspapers, including Nikkei and Yomiuri, against US startup Perplexity AI over alleged copyright infringement. Industry experts say KDDI’s collaboration could become a model for responsible AI integration in news services.

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Apple plans to integrate multiple AI systems into Apple Intelligence

In a recent interview, Tim Cook confirmed that Apple plans to integrate more third-party AI systems into its new Apple Intelligence offering, describing the ambition as ‘over time’ and indicating both internal development and potential mergers and acquisitions.

Cook referenced existing integrations, such as the embedding of ChatGPT into Siri, and confirmed that other models like Google Gemini are under consideration.

He also emphasised that Apple remains open to acquiring AI companies that align with its roadmap for Apple Intelligence.

However, this announcement marks Apple’s strategic pivot in the AI era, shifting from a primarily closed system to one that supports a pluralistic ecosystem of AI tools.

The move has implications for how we think about platform-economy power, AI governance and interoperability.

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Stargate Michigan expands OpenAI’s US buildout

OpenAI will build a new campus in Saline Township, Michigan, as part of a 4.5 GW partnership with Oracle. Planned US capacity now exceeds 8 gigawatts. Investment over the next three years is expected to surpass $450 billion.

Leaders frame Stargate as a path to reindustrialise the United States while expanding access to AI benefits. Projects generate jobs during buildout and strengthen supply chains. Communities are intended to share gains.

Related Digital will develop the Michigan site, with construction expected in early 2026. More than 2,500 union construction roles are planned. A closed-loop cooling system will significantly reduce on-site water consumption.

DTE Energy will utilise existing excess transmission capacity to serve the campus. The project, not local ratepayers, will fund any required upgrades. Local energy supplies are expected to remain unaffected.

Expansion builds on previously announced sites in Texas, New Mexico, Wisconsin, and Ohio. Programmes aim to bolster modern energy and manufacturing systems. Michigan’s engineering heritage makes it a focal point for future AI infrastructure.

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When AI LLMs ‘think’ more, groups suffer, CMU study finds

Researchers at Carnegie Mellon University report that stronger-reasoning language models (LLMs) act more selfishly in groups, reducing cooperation and nudging peers toward self-interest. Concerns grow as people ask AI for social advice.

In a Public Goods test, non-reasoning models shared 96 percent; a reasoning model shared 20 percent. Adding a few reasoning steps cut cooperation nearly in half. Reflection prompts also reduced sharing.

Mixed groups showed spillover. Reasoning agents dragged down collective performance by 81 percent, spreading self-interest. Users may over-trust ‘rational’ advice that justifies uncooperative choices at work or in class.

Comparisons spanned LLMs from OpenAI, Google, DeepSeek, and Anthropic. Findings point to the need to balance raw reasoning with social intelligence. Designers should reward cooperation, not only optimise individual gain.

The paper ‘Spontaneous Giving and Calculated Greed in Language Models’ will be presented at EMNLP 2025, with a preprint on arXiv. Authors caution that more intelligent AI is not automatically better for society.

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Australian police create AI tool to decode predators’ slang

Australian police are developing an AI tool with Microsoft to decode slang and emojis used by online predators. The technology is designed to interpret coded messages in digital conversations to help investigators detect harmful intent more quickly.

Federal Police Commissioner Krissy Barrett said social media has become a breeding ground for exploitation, bullying, and radicalisation. The AI based prototype, she explained, could allow officers to identify threats earlier and rescue children before abuse occurs.

Barrett also warned about the rise of so-called ‘crimefluencers’, offenders using social media trends to lure young victims, many of whom are pre-teen or teenage girls. Australian authorities believe understanding modern online language is key to disrupting their methods.

The initiative follows Australia’s new under-16 social media ban, due to take effect in December. Regulators worldwide are monitoring the country’s approach as governments struggle to balance online safety with privacy and digital rights.

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Korea ramps up AI infrastructure with NVIDIA partnership

South Korea is accelerating its AI development through a major partnership with NVIDIA, deploying over 260,000 GPUs across government, cloud providers, and industrial leaders.

The Ministry of Science and ICT is investing in sovereign AI infrastructure, while companies including Samsung, SK Group, Hyundai, and NAVER Cloud are building AI factories and expanding GPU capacity to support physical and enterprise AI workloads.

The initiative seeks to boost innovation in manufacturing, automotive, and telecoms, supporting large-scale AI model training, validation, and deployment.

Korean organisations are developing sovereign large language models through public-private partnerships with LG AI Research, SK Telecom, NC AI, Upstage, and NVIDIA.

The infrastructure will allow startups, researchers, and enterprises to access high-performance computing for AI applications and industrial digital twins.

Korea is also advancing AI-enabled quantum computing and scientific research. The Korea Institute of Science and Technology Information (KISTI) is creating a Center of Excellence using NVIDIA supercomputers, NVQLink for quantum processors, and PhysicsNeMo for physics-based AI models.

The goal is to strengthen research collaboration, AI innovation, and economic growth. Startups gain support through NVIDIA Inception and N-Up AI programs, accessing computing infrastructure, AI tools, and investment guidance to speed growth and industrial AI adoption.

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CXMT launches LPDDR5X chips as China advances in semiconductor race

ChangXin Memory Technologies has begun mass production of LPDDR5X chips, marking a major milestone in China’s effort to strengthen its position in the global semiconductor market.

The Hefei-based manufacturer, preparing for a Shanghai stock listing, said its new DRAM generation will support faster data transfer and lower power use across mobile devices and AI systems.

The LPDDR5X range includes chips with speeds of up to 10,667 Mbps, positioning CXMT as a growing competitor to industry leaders such as Samsung, SK Hynix and Micron.

Earlier LPDDR5 versions launched in 2023 had already helped the firm progress towards advanced 16-nanometre manufacturing, narrowing the technological gap with global rivals.

Industry data indicate a rising global demand for memory chips, driven by AI applications and high-bandwidth computing. Additionally, DRAM revenue increased 17.1 percent in the second quarter, reaching US$31.6 billion.

CXMT’s expansion comes as it targets a Shanghai IPO valued at around 300 billion yuan, highlighting both investor interest and the ambition of China to achieve greater chip self-sufficiency.

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AI brings a personal stylist to Pinterest users

Pinterest has introduced Pinterest Assistant, an AI-powered, visual-first collaborator designed to personalise online shopping and discovery. The assistant offers proactive, style-driven recommendations for fashion, home décor, and lifestyle, helping users find items they might not know they are looking for.

By analysing user saves, boards, collages, and content from nearly 600 million monthly active users, Pinterest Assistant tailors suggestions to individual tastes.

The platform’s AI uses its Taste-graph and billions of user signals to outperform standard visual search models by over 30% in shopping recommendation accuracy. Pinterest Assistant combines images, text, and voice to provide a conversational, visually rich experience like a personal stylist.

Users can access Pinterest Assistant by tapping the mic icon and describing what they are looking for. The AI responds with personalised, visual, and shoppable results, offering inspiration for everything from holiday party outfits to home décor items.

The beta version is rolling out to US users aged 18 and over, with wider availability planned soon.

The launch positions Pinterest as a platform that goes beyond discovery, enabling users to shop seamlessly and creatively while staying aligned with their personal aesthetic, especially appealing to Gen Z shoppers who value style curation and inspiration.

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NVIDIA AI powers mobile clinics for breast cancer screening in rural India

A mobile clinic powered by NVIDIA AI is bringing life-saving breast cancer screenings to women in rural India.

The Health Within Reach Foundation, in partnership with Dallas-based startup MedCognetics, operates the Women Cancer Screening Van, which has already conducted over 3,500 mammograms, with 90% of patients screened for the first time.

MedCognetics, a member of NVIDIA’s Inception programme, provides an AI system that analyses mammogram data in real time to identify potential abnormalities.

The foundation reports that around 8% of screenings revealed irregularities, with 24 confirmed cancer diagnoses detected early enough for timely treatment. The collaboration demonstrates how AI can expand access to preventive healthcare in remote areas.

MedCognetics’ technology uses NVIDIA IGX Orin and Holoscan platforms for rapid image processing, supporting real-time detection and risk analysis. Its algorithms can improve image quality, assist radiologists in identifying small or early-stage tumours, and predict breast cancer risk within a year.

These tools are part of a wider effort to make advanced medical diagnostics affordable and accessible in developing regions.

By combining edge AI with local cloud infrastructure, the system enables faster diagnosis and better connectivity between healthcare workers in the field and radiologists in urban hospitals.

For millions of women in rural India, the initiative brings high-quality care directly to their communities and offers a powerful example of how AI can reduce health inequalities.

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Switzerland ranks among top countries for AI adoption

Switzerland has been ranked 15th globally for AI adoption, with around one in three working-age adults using AI tools, according to Microsoft’s AI Diffusion Report. At 32.4%, the country’s adoption rate exceeds the Global North average of 23%, reflecting strong digital engagement.

The report shows over one billion people have used AI tools in under three years, making it the fastest-adopted technology ever. Microsoft analysed platforms like Copilot, ChatGPT, Claude, Gemini, and Midjourney to track AI use and introduced indices measuring AI development, infrastructure, and adoption.

Countries such as Singapore, the UAE, Norway, and Ireland show high AI adoption is possible with strong technology, education, and policy support, even without frontier-level breakthroughs.

Switzerland follows this model, using infrastructure, digital skills, and forward-looking policies to drive innovation and economic growth.

Despite rapid adoption in the Global North, nearly four billion people globally still lack the electricity, internet, or digital skills necessary to access AI, highlighting a growing divide between wealthier and lower-income nations.

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