Most German researchers now use AI

Around 80 percent of researchers at Germany’s Max Planck and Fraunhofer societies report using AI in their work, according to a survey of more than 6,200 respondents published in Research Policy.

Nearly half said they were very familiar with AI tools, while another 44 percent had used AI a few times.

The study shows a rapid rise in AI use since 2023, when just 17 percent of researchers used generative AI weekly. Many respondents now employ AI for core and creative research tasks, with 37 percent citing its use in innovative work processes.

Demographic trends reveal that older researchers and women are less likely to use AI, although lower familiarity rather than scepticism drives these differences. Researchers view AI as transformative, acting increasingly as a co-creator or manager rather than merely an automation tool.

Measures such as training, supportive learning environments and legal guidance could further boost AI adoption. Despite the study being limited to Germany, the findings point to a profound transformation in research driven by AI technologies.

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Fake AI product photos spark concerns for online retailers

Chinese shoppers are increasingly using AI to create fake product photos to claim refunds, raising moral and legal concerns. The practice was highlighted during the Double 11 festival, with sellers receiving images of allegedly damaged goods.

Some buyers manipulated photos of fruit to appear mouldy or altered images of electric toothbrushes to look rusty. Clothing and ceramic product sellers also detected AI-generated inconsistencies, such as unnatural lighting, distorted edges, or visible signs of manipulation.

In some cases, requests were withdrawn after sellers asked for video evidence.

E-commerce platforms have historically favoured buyers, granting refunds even when claims seem unreasonable. In response, major platforms such as Taobao and Tmall removed the ‘refund only’ option and introduced buyer credit ratings based on purchase and refund histories.

Sellers are also increasingly turning to AI tools to verify images.

China’s AI content rules, effective from 1 September, require AI-generated material to be labelled, but detection remains difficult. Legal experts warn that using AI to claim refunds could constitute fraud, with calls for stricter enforcement to prevent abuse.

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NVIDIA and Synopsys shape a new era in engineering

The US tech giant, NVIDIA, has deepened its long-standing partnership with Synopsys through a multi-year strategy designed to redefine digital engineering across global industries.

An agreement that includes a significant investment of two billion dollars in Synopsys shares and a coordinated effort to bring accelerated computing into every stage of research and development.

The aim is to replace slow, fragmented workflows with highly efficient engineering supported by GPU power, agentic AI and advanced physics simulation.

Research teams across semiconductor design, aerospace, automotive and industrial manufacturing continue to face rising complexity and escalating development costs. NVIDIA and Synopsys plan to respond by unifying their strengths, rather than relying on traditional CPU-bound methods.

NVIDIA’s accelerated computing platforms will connect with Synopsys tools to enable faster design, broader simulation capability and more precise verification. The collaboration extends to autonomous engineering through AI agents built on Synopsys AgentEngineer and NVIDIA’s agentic AI stack.

Digital twins stand at the centre of the new strategy. Accurate virtual models, powered through Omniverse and Synopsys simulation environments, will allow engineers to test and validate products in virtual space before physical production.

Cloud-ready access will support companies of all sizes, rather than restricting advanced engineering to large enterprises with specialised infrastructure. Both firms intend to promote adoption through a shared go-to-market programme.

The partnership remains open and non-exclusive, ensuring continued cooperation with the broader semiconductor and electronic design ecosystem.

NVIDIA and Synopsys expect accelerated engineering to reshape innovation cycles, offering a route to faster product development and more reliable outcomes across every primary technical sector.

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Cairo Forum examines MENA’s path in the AI era

The Second Cairo Forum brought together experts to assess how AI, global shifts, and economic pressures are shaping MENA. Speakers said the region faces a critical moment as new technologies accelerate. The discussion asked whether MENA will help shape AI or simply adopt it.

Participants highlighted global divides, warning that data misuse and concentrated control remain major risks. They argued that middle-income countries can collaborate to build shared standards. Several speakers urged innovation-friendly regulation supported by clear safety rules.

Officials from Egypt outlined national efforts to embed AI across health, agriculture, and justice. They described progress through applied projects and new governance structures. Limited data access and talent retention were identified as continuing obstacles.

Industry voices stressed that trust, transparency, and skills must underpin the use of AI. They emphasised co-creation that fits regional languages and contexts. Training and governance frameworks were seen as essential for responsible deployment.

Closing remarks warned that rapid advances demand urgent decisions. Speakers said safety investment lags behind development, and global competition is intensifying. They agreed that today’s choices will shape the region’s AI future.

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DeepSeek launches AI model achieving gold-level maths scores

Chinese AI company DeepSeek has unveiled Math-V2, the first open-source AI model to achieve gold-level performance at the International Mathematical Olympiad.

The system, now available on GitHub and Hugging Face, allows developers to modify and deploy the model under a permissive license freely.

Math-V2 also excelled in the 2024 Chinese Mathematical Olympiad, demonstrating advanced reasoning and problem-solving capabilities. Unlike many AI systems, it features a self-verification process that enables it to check solutions even for problems without known answers.

The launch comes as US AI leaders, such as Google DeepMind and OpenAI, have achieved similar milestones with their proprietary models.

Open access to Math-V2 could democratise advanced mathematical tools, potentially accelerating scientific research and development globally.

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Meta criticised for AI-generated adverts scams

Meta has faced criticism after numerous consumers reported being misled by companies using AI-generated adverts on Facebook and Instagram. The firms posed as UK businesses while shipping cheap goods from Asia, prompting claims that scams were ‘running rampant’ on the platforms.

Victims were persuaded by realistic adverts and AI-generated images but received poorly made clothing and jewellery. Several companies, including C’est La Vie, Mabel & Daisy, Harrison & Hayes, and Chester & Clare, were removed after investigations revealed fabricated backstories and fake shopfronts.

Consumer guides recommend vigilance, advising shoppers to check company websites, reviews, and use Trustpilot to verify legitimacy. Experts warn that overly perfect images, including AI-generated shopfronts or models, may signal fraudulent adverts.

Platforms such as Facebook and Instagram are urged to enforce stricter measures to prevent scams.

Meta stated it works with Stop Scams UK and encourages users to report suspicious adverts, while the Advertising Standards Authority continues to crack down on misleading online promotions.

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Baidu emerges as China’s AI chip leader

A key player is emerging in China’s AI chip market with Baidu’s Kunlunxin unit stepping in to fill the gap left by Nvidia due to US export restrictions.

The company plans a five-year roadmap for AI chips, beginning with the M100 in 2026 and the M300 in 2027, while already using its chips to run ERNIE AI models.

Strong domestic demand and shortages of AI chips among Chinese tech giants, such as Alibaba and Tencent, have created an opportunity for Baidu.

The company sells chips to third parties and rents computing capacity via its cloud, presenting itself as a full-stack AI provider with integrated infrastructure, models, and applications.

Analysts predict explosive growth for Baidu’s AI chip business, with sales expected to increase sixfold to 8 billion yuan ($1.1 billion) by 2026. Industry experts highlight that the timely delivery of competitive Kunlun chip generations could make Baidu a strategic supplier to the rest of China’s AI ecosystem.

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DigitalBridge joins KT to boost Korea’s AI infrastructure plans

KT has partnered with DigitalBridge to build new AI data centres in Korea and abroad. The agreement was signed in Seoul amid growing demand for high-performance computing. Both companies aim to expand into fast-developing regional AI markets.

DigitalBridge brings global data centre and cloud expertise, backed by significant investment capacity. KT says the partnership will boost national AI competitiveness and support expansion plans. Work will cover facility design, operations and improved network connectivity.

Engineers will optimise AI workloads for training and inference across industrial sectors. The partners plan to stabilise high-load systems and streamline data flow. Enterprise and telecom uses are expected to benefit directly.

Energy efficiency is a core priority for advanced AI facilities. KT and DigitalBridge will research cooling improvements and power-saving methods. Both companies frame sustainability as essential for long-term competitiveness.

KT says the collaboration strengthens ambitions for regional AI infrastructure within Korea. Analysts view the move as an effort to secure GPUs and expand capacity. The project aims to position Korea as a key AI data-centre hub.

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Open-source tech shapes the future of global AI governance

As the world marks a decade since China introduced the idea of building a ‘community of shared future in cyberspace,’ the executive director of DiploFoundation and former UN official Jovan Kurbalija says the concept has never been more relevant. Speaking to the Global Times, he emphasised that global digital cooperation has historically been rooted in openness, from the early internet protocols to today’s rapid development of open-source AI.

That collaborative model, he argued, is shaping the next phase of digital evolution, where the line between physical and virtual space is rapidly disappearing.

Kurbalija noted that AI technologies sit at the crossroads of today’s geopolitical, economic, and social tensions. While they amplify opportunities, they also heighten risks, making cooperation essential.

He said that global governance must focus on expanding safe and inclusive technological use while managing the rising dangers associated with rapid innovation. Many UN initiatives, he added, are built on this very logic, widening the space for cooperation to prevent digital divisions from deepening.

At the heart of that challenge is inclusivity. Despite technological progress, one-third of humanity still lacks internet access.

Kurbalija emphasised that true inclusion requires far more than connectivity, and that it demands skills, market access, and participation in decision-making, from local communities to international institutions. Education and capacity development, he said, are fundamental to ensuring that youth, marginalised groups, and people with disabilities can benefit from AI rather than be left behind. Affordable open-source AI will be crucial in bridging this divide.

China’s growing role in the global AI ecosystem is central to these changes. According to Kurbalija, open-source models released by companies such as DeepSeek have rapidly reshaped an industry previously dominated by proprietary systems.

Their impact has been so significant that many countries are now placing open-source approaches at the core of their national AI strategies. He called this shift a ‘historic development’ with far-reaching consequences for transparency, accessibility, and the long-term governance of AI.

Looking ahead, Kurbalija believes China’s Global Governance Initiative could usher in a new phase of international cooperation. The key challenge, he said, will be grounding fast-moving AI innovation in deeper cultural and societal traditions.

He pointed to China’s own philosophical heritage, highlighted during last year’s Global Dialogue on AI, Philosophy and Governance, as an example of how ancient ideas can help guide future technological progress. As nations grapple with the uncertainty of AI transformation, he argued, it is these cultural roots and shared human values that may ultimately shape a more stable and cooperative digital future.

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DeepSeek opens access to gold-level maths AI

Chinese AI firm DeepSeek has released the first open AI model capable of achieving gold-medal results at the International Mathematical Olympiad. Math-V2 is now freely available on Hugging Face and GitHub, allowing developers to repurpose it and run it locally.

Gold-level performance at the IMO is remarkably rare, with only a small share of human participants reaching the top tier. DeepSeek aims to make such advanced mathematical capabilities accessible to researchers and developers who previously lacked access to comparable systems.

The company said its model achieved gold-level scores in both this year’s Olympiad and the Chinese Mathematical Olympiad. The results relied on strong theorem-proving skills and a new ‘self-verification’ method for reasoning without known solutions.

Observers said the open release could lower barriers to advanced maths AI, while US firms keep their Olympiad-level systems restricted. Supporters of open-source development welcomed the move as a significant step toward democratising advanced scientific tools.

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