Digital cooperation

NVIDIA and Siemens build new industrial AI operating system

Siemens and NVIDIA have expanded their strategic partnership to build what they describe as an Industrial AI operating system.

The collaboration aims to embed AI-driven intelligence throughout the entire industrial lifecycle, from product design and engineering to manufacturing, operations and supply chains.

Siemens will contribute industrial AI expertise alongside hardware and software, while NVIDIA will provide AI infrastructure, simulation technologies and accelerated computing platforms.

The companies plan to develop fully AI-driven adaptive manufacturing sites, beginning in 2026 with Siemens’ electronics factory in Erlangen, Germany.

Digital twins will be used as active intelligence tools instead of static simulations, allowing factories to analyse performance in real time, test improvements virtually and convert successful adjustments directly into operational changes.

Both firms will also accelerate semiconductor design by combining Siemens’ EDA tools with NVIDIA’s GPU-accelerated computing and AI models. The goal is to shorten design cycles, improve manufacturing yields and support the development of advanced AI-enabled products.

The partnership also aims to create next-generation AI factories that optimise power, cooling, automation and infrastructure efficiency.

Siemens and NVIDIA intend to use the same technologies internally to improve their own operations before scaling them to customers. They argue the partnership will help industries adopt AI more rapidly and reliably, while supporting more resilient and sustainable manufacturing worldwide.

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Samsung puts AI trust and security at the centre of CES 2026

The South Korean tech giant, Samsung, used CES 2026 to foreground a cross-industry debate about trust, privacy and security in the age of AI.

During its Tech Forum session in Las Vegas, senior figures from AI research and industry argued that people will only fully accept AI when systems behave predictably, and users retain clear control instead of feeling locked inside opaque technologies.

Samsung outlined a trust-by-design philosophy centred on transparency, clarity and accountability. On-device AI was presented as a way to keep personal data local wherever possible, while cloud processing can be used selectively when scale is required.

Speakers said users increasingly want to know when AI is in operation, where their data is processed and how securely it is protected.

Security remained the core theme. Samsung highlighted its Knox platform and Knox Matrix to show how devices can authenticate one another and operate as a shared layer of protection.

Partnerships with companies such as Google and Microsoft were framed as essential for ecosystem-wide resilience. Although misinformation and misuse were recognised as real risks, the panel suggested that technological counter-measures will continue to develop alongside AI systems.

Consumer behaviour formed a final point of discussion. Amy Webb noted that people usually buy products for convenience rather than trust alone, meaning that AI will gain acceptance when it genuinely improves daily life.

The panel concluded that AI systems which embed transparency, robust security and meaningful user choice from the outset are most likely to earn long-term public confidence.

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Wimbledon and IBM expand collaboration to deepen global fan engagement

IBM and the All England Lawn Tennis Club have renewed their long-standing technology partnership under a new multi-year agreement to expand digital fan engagement at Wimbledon.

The collaboration, which dates back 36 years, has supported milestones ranging from the launch of the Wimbledon website in 1995 to the introduction of AI-powered features across digital platforms in recent seasons.

Teams from both organisations work year-round to develop fan-facing tools, such as Live Likelihood to Win and Match Chat, that combine tournament data with IBM Watsonx capabilities. Engagement across Wimbledon’s app and website rose 16 per cent year on year in 2025.

The partnership has also received industry recognition, including the All England Club being named Sports Organisation of the Year at the 2025 Sports Technology Awards for its use of AI.

Both organisations said the renewed agreement will focus on delivering more personalised and immersive experiences, as research shows strong demand among tennis fans for AI-driven insights and real-time content.

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UAE deploys AI ecosystem to support climate-vulnerable agriculture

The United Arab Emirates has launched an AI-driven ecosystem to help climate-vulnerable agricultural regions adapt to increasingly volatile weather. The initiative reinforces the country’s ambition to position itself as a global hub for applied AI in climate resilience and food security.

Unveiled in Abu Dhabi, the programme builds on a US$200m partnership with the Gates Foundation announced during COP28. It reflects a shift from climate pledges toward deployable technology as droughts, floods and heat stress intensify pressure on agriculture, particularly in the Global South.

At the core is an integrated ecosystem linking scientific research, AI model development and digital advisory tools with large-scale deployment. Rather than isolated pilots, the programmes are designed to translate data into practical tools used directly by governments, NGOs and farmers.

Abu Dhabi is positioning itself as a hub for agricultural AI through the CGIAR AI Hub and a new institute at Mohamed bin Zayed University of Artificial Intelligence. The ecosystem also includes AgriLLM, an open-source model trained on agricultural and climate data.

Delivery is supported by AIM for Scale, a joint UAE–Gates Foundation initiative expanding AI-powered weather forecasting in data-scarce regions. In India, AI-enabled monsoon forecasts reached an estimated 38 million farmers in 2025, with further deployments planned.

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Christians raise concerns over AI used for moral guidance

AI is increasingly used for emotional support and companionship, raising questions about the values embedded in its responses, particularly for Christians seeking guidance. Research cited by Harvard Business Review shows therapy-related use now dominates generative AI.

As Christians turn to AI for advice on anxiety, relationships, and personal crises, concerns are growing about the quality and clarity of its responses. Critics warn that AI systems often rely on vague generalities and may lack the moral grounding expected by faith-based users.

A new benchmark released by technology firm Gloo assessed how leading AI models support human flourishing from a Christian perspective. The evaluation examined seven areas, including relationships, meaning, health, and faith, and found consistent weaknesses in how models addressed Christian belief.

The findings show many AI systems struggle with core Christian concepts such as forgiveness and grace. Responses often default to vague spirituality rather than engaging directly with Christian values.

The authors argue that as AI increasingly shapes worldviews, greater attention is needed to how systems serve Christians and other faith communities. They call for clearer benchmarks and training approaches that allow AI to engage respectfully with religious values without promoting any single belief system.

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MindRank advances AI-designed weight loss drug to Phase 3 trials

Hangzhou-based biotech start-up MindRank has entered Phase 3 clinical trials for its weight loss drug, marking China’s first AI-assisted Category 1 new drug to reach this stage. The trial involves MDR-001, a small-molecule GLP-1 receptor agonist developed using AI-driven techniques.

MindRank said the weight loss drug was designed to regulate blood sugar and appetite by mimicking natural hormones. According to founder and chief executive Niu Zhangming, the company is targeting regulatory approval in the second half of 2028, with a potential market launch in 2029.

The company said the development process for the weight loss drug took about 4.5 years, significantly shorter than the typical 7 to 10 years required to reach Phase 3 trials. Niu attributed the acceleration to AI tools that reduced research timelines and cut overall R&D costs by more than 60 per cent.

China-based MindRank uses proprietary AI systems, including large language models (LLMs), to identify weight-loss drug targets and shortlist compounds. The approach has raised target research accuracy above 97 per cent and supports safety and efficacy assessments.

Despite these advances, Niu said human expertise remains essential for strategic decision-making and integrating workflows. He added that AI-assisted drug discovery still faces long validation cycles, meaning its impact on life sciences may be more gradual than in other sectors.

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Texas project puts Fermi at centre of nuclear AI push

A large energy and AI campus is taking shape outside Amarillo, Texas, as startup Fermi America plans to build what it says would be the world’s largest private power grid. The project aims to support large-scale AI training using nuclear, gas, and solar power.

Known as Project Matador, the development would host millions of square metres of data centres and generate more electricity than many US states consume at peak demand. The site is near the Pantex nuclear weapons facility and is part of a broader push for US energy and AI dominance.

Fermi is led by former Texas governor and energy secretary Rick Perry alongside investor Toby Neugebauer. The company plans to deploy next-generation nuclear reactors and offer off-grid computing infrastructure, though it has yet to secure a confirmed anchor tenant.

The scale and cost of the project have raised questions among analysts and local residents. Critics point to financing risks, water use, and the challenge of delivering nuclear reactors on time and within budget, while supporters argue the campus could drive economic growth and national security benefits.

Backed by political momentum and rising demand for AI infrastructure, Fermi is pressing ahead with construction and partnerships. Whether Project Matador can translate ambition into delivery remains a key test as competition intensifies in the global race to power next-generation AI systems.

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Universities in Ireland urged to rethink assessments amid AI concerns

Face-to-face interviews and oral verification could become a routine part of third-level assessments under new recommendations aimed at addressing the improper use of AI. Institutions are being encouraged to redesign assessment methods to ensure student work is authentic.

The proposals are set out in new guidelines published by the Higher Education Authority (HEA) of Ireland, which regulates universities and other third-level institutions. The report argues that assessment systems must evolve to reflect the growing use of generative AI in education.

While encouraging institutions to embrace AI’s potential, the report stresses the need to ensure students are demonstrating genuine learning. Academics have raised concerns that AI-generated assignments are increasingly difficult to distinguish from original student work.

To address this, the report recommends redesigning assessments to prioritise student authorship and human judgement. Suggested measures include oral verification, process-based learning, and, where appropriate, a renewed reliance on written exams conducted without technology.

The authors also caution against relying on AI detection tools, arguing that integrity processes should be based on dialogue and evidence. They call for clearer policies, staff and student training, and safeguards around data use and equitable access to AI tools.

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India outlines plan to widen AI access

India’s government has set out plans to democratise AI infrastructure nationwide. The strategy focuses on expanding access beyond major technology hubs.

Officials aim to increase availability of computing power, datasets and AI models. Startups, researchers and public institutions are key intended beneficiaries.

New initiatives under IndiaAI and national supercomputing programmes will boost domestic capacity. Authorities say local compute access reduces reliance on foreign providers.

Digital public platforms will support data sharing and model development. The approach seeks inclusive innovation across education, healthcare and governance across India.

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Data centre cluster in Tennessee strengthens xAI’s compute ambitions

xAI is expanding its AI infrastructure in the southern United States after acquiring another data centre site near Memphis. The move significantly increases planned computing capacity and supports ambitions for large-scale AI training.

The expansion centres on the purchase of a third facility near Memphis, disclosed by Elon Musk in a post on X. The acquisition brings xAI’s total planned power capacity close to 2 gigawatts, placing the project among the most energy-intensive AI data centre developments currently underway.

xAI has already completed one major US facility in the area, known as Colossus, while a second site, Colossus 2, remains under construction. The newly acquired building, called MACROHARDRR, is located in Southaven and directly adjoins the Colossus 2 site, as previously reported.

By clustering facilities across neighbouring locations, xAI is creating a contiguous computing campus. The approach enables shared power, cooling, and high-speed data infrastructure for large-scale AI workloads.

The Memphis expansion underscores the rising computational demands of frontier AI models. By owning and controlling its infrastructure, xAI aims to secure long-term access to high-end compute as competition intensifies among firms investing heavily in AI data centres.

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