Germany has launched one of Europe’s largest AI factories to boost EU-wide sovereign AI capacity. Deutsche Telekom unveiled the new ‘Industrial AI Cloud’ in Munich, in partnership with NVIDIA and Polarise.
Designed to deliver high-performance AI computing for industry, research, and public institutions, the platform keeps data operations under European jurisdiction. Company executives described the project as proof that Europe can build large-scale AI infrastructure aligned with its regulatory and sovereignty goals.
The AI factory runs on nearly 10,000 NVIDIA Blackwell GPUs, providing up to 0.5 exaFLOPS of computing power. Telekom said the capacity would be sufficient to support hundreds of millions of users accessing AI services simultaneously across the EU.
Officials in Germany framed the AI factory initiative as a strategic investment in technological leadership and digital independence. The infrastructure operates under German and EU data protection rules, positioning compliance and security as core competitive advantages.
Industrial applications are central to the project, with companies such as Siemens integrating simulation tools into the platform. The AI factory also runs on renewable energy, uses river water cooling, and plans to reuse waste heat within Munich’s urban network.
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Built using Gemini and advanced Google DeepMind models, the system analyses the biomechanics behind high-speed freestyle skiing and snowboarding manoeuvres.
Traditional motion capture required specialised suits and controlled lab environments. Google’s platform converts smartphone footage into biomechanical analysis, mapping body positioning, trick amplitude, and edge control within minutes.
Coaches and athletes can query performance data conversationally for immediate insight.
Near real-time delivery marks a significant shift in training methodology. Analysis can be reviewed on the slopes shortly after a run, enabling faster technical adjustments.
The technology is also supporting athlete preparation for the Milano-Cortina 2026 Winter Olympics, where marginal gains can determine podium outcomes.
Applications extend beyond winter sports. Similar AI biomechanics systems could support physical rehabilitation, robotics engineering, and industrial safety environments where precision movement analysis is essential.
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The UAE Ministry of Higher Education and Scientific Research has partnered with Microsoft to develop AI agents to help university students find jobs. The initiative was announced in Dubai during a major policy gathering in the UAE.
The collaboration in the UAE will use Microsoft Azure to build prototype AI agents supporting personalised learning and career navigation. Dubai-based officials said the tools are designed to align higher education with labour market needs in the UAE.
Four AI agents are being developed in the UAE, covering lifelong skills planning, personalised learning, course co creation and research alignment. Dubai remains central to the project as a hub for higher education innovation in the UAE.
Officials in the UAE said the partnership reflects national priorities around innovation and a knowledge based economy. Microsoft said Dubai offers an ideal environment to scale AI driven education tools across the UAE.
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Researchers in the United States have shown that an AI-enabled digital stethoscope detected moderate to severe valvular heart disease more than twice as often as traditional tools during routine clinical exams.
The study assessed 357 patients aged 50 and above in primary care settings, using both conventional and AI-assisted stethoscopes. Sensitivity rose from 46.2 percent with traditional listening to 92.3 percent with the AI-enabled device.
Valvular heart disease affects a large proportion of older adults but frequently remains undiagnosed due to subtle or absent symptoms and limitations of conventional auscultation during busy clinical practice.
The digital stethoscope records high-fidelity heart sounds and applies machine-learning models to identify acoustic patterns associated with valve abnormalities, helping clinicians make early screening decisions.
US researchers noted a small drop in specificity that could increase false positives, but argued that earlier detection could reduce complications, hospital admissions, and long-term healthcare costs.
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Microsoft has warned that info stealing malware is increasingly targeting macOS alongside Windows, using cross platform tools and social engineering. The company said the trend accelerated from late 2025.
Attackers are luring macOS users to fake websites and malicious installers, often promoted through online ads. Microsoft said these campaigns steal credentials, crypto wallets and browser sessions on macOS and Windows.
Python based malware is also playing a larger role, enabling attackers to target macOS and Windows with the same code. Microsoft reported growing abuse of trusted platforms such as WhatsApp to spread infostealers.
Microsoft urged organisations and individuals to strengthen layered cybersecurity on macOS and Windows. The company said better user awareness and monitoring could reduce the risk of data theft and account compromise.
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Enterprises in France are accelerating the use of AI to manage increasingly complex multicloud environments, according to new ISG research. Companies in France are balancing innovation, compliance and rising cost pressures.
The report says multicloud adoption in France now extends beyond large corporations to midsize firms and regulated sectors. Organisations in France are spreading workloads across hyperscalers and sovereign clouds to reduce risk.
AI driven automation is becoming central to cloud governance in France as manual oversight proves unsustainable. French enterprises are using AI tools for performance optimisation, anomaly detection and real time policy enforcement.
Data sovereignty and cost control are also shaping cloud strategies in France. Companies in France are adopting FinOps practices and sovereign cloud services to meet regulatory demands and strengthen cybersecurity.
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A senior German official has voiced frustration over joint tech sovereignty efforts with France, describing the experience as disillusioning. The remarks followed a high profile digital summit hosted by Germany and France in Berlin.
The comments came from Luise Hölscher of Germany, who said approaches to buying European technology differ sharply between Germany and France. Germany tends to accept solutions from across Europe, while France often favours domestic providers.
Despite tensions, Hölscher said the disagreement has not damaged the wider partnership between Germany and France. Germany is now exploring closer cooperation with other European countries.
The debate unfolds as the EU considers new rules on cloud services and AI procurement across Germany and France. European institutions are weighing how far public bodies should prioritise European suppliers.
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The US tech giant, Amazon, is preparing a new phase for its proprietary production tools as the company opens a closed beta that will give selected studios early access to its AI systems.
Developers created the technology inside Amazon MGM Studios to improve character consistency across scenes and speed up work in pre and post-production instead of relying on fragmented processes.
The programme begins in March and is expected to deliver initial outcomes by May. Amazon is working with recognised industry figures such as Robert Stromberg, Kunal Nayyar and former Pixar animator Colin Brady to refine the methods.
The company is also drawing on Amazon Web Services and several external language model providers to strengthen performance.
Executives insist the aim is to assist creative teams rather than remove them from the process. The second season of the series ‘House of David’ already used more than 300 AI-generated shots, showing how the technology can support large-scale productions instead of replacing artistic decision-making.
Industry debate continues to intensify as studios explore new automation methods. Netflix also used generative tools for major scenes in ‘The Eternaut’.
Amazon has repeatedly cited AI progress when announcing staff reductions, which added further concern over the long-term effects on employment and creative roles.
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UN Secretary-General António Guterres has formally submitted, for consideration and appointment by the United Nations General Assembly, the proposed composition of a new Independent International Scientific Panel on AI, marking a step towards evidence-based global AI governance.
The panel brings together 40 experts from across regions and disciplines, selected through an open global call that attracted more than 2,600 applications, and members serve in a personal and independent capacity.
In his submission to the General Assembly, Guterres said the body would act as the first fully independent global scientific authority focused on closing the AI knowledge gap and assessing real-world impacts across economies and societies.
According to the UN chief, a reliable and unbiased understanding of AI has become essential as technologies reshape governance, labour markets, and social systems at an accelerating speed.
The panel will operate for an initial three-year term, aiming to provide a shared scientific foundation for international cooperation amid rising geopolitical tension and technological competition.
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Medical AI promises faster analysis, more accurate pattern detection, and continuous availability, yet most systems still struggle to perform reliably in real clinical environments beyond laboratory testing.
Researchers led by Marinka Zitnik at Harvard Medical School identify contextual errors as a key reason why medical AI often fails when deployed in hospitals and clinics.
Models frequently generate technically sound responses that overlook crucial factors, such as medical speciality, geographic conditions, and patients’ socioeconomic circumstances, thereby limiting their real-world usefulness.
The study argues that training datasets, model architecture, and performance benchmarks must integrate contextual information to prevent misleading or impractical recommendations.
Improving transparency, trust, and human-AI collaboration could allow context-aware systems to support clinicians more effectively while reducing harm and inequality in care delivery.
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