Artificial intelligence

EU advances ambitious gigafactory programme for AI leadership

The Council has agreed on a significant amendment to the EuroHPC Joint Undertaking regulation, aiming to establish AI gigafactories across Europe alongside a new quantum pillar.

The plan advances earlier efforts to build AI factories and redirects unused EU funds toward larger and more ambitious facilities. Up to five gigafactories are expected, supported through public and private partnerships that promise a stronger technological base for European research and industry.

AI gigafactories will combine high-performance computing, energy-efficient data centres and automated systems to give Europe world-class AI capacity. The regulation sets out firm rules for funding and procurement while protecting start-ups and scale-ups.

It also allows gigafactories to be spread across multiple countries, creating a flexible model that can strengthen European resilience, competitiveness and security instead of relying heavily on American or Chinese infrastructure.

An agreement that updates the governance of EuroHPC and introduces safeguards for participation from partners outside the EU. Quantum research and innovation activities will move from Horizon Europe to EuroHPC in order to consolidate work on critical technologies.

In a shift that aims to widen the impact of supercomputing and quantum infrastructure while supporting the development of essential skills for science and industry.

The next stage involves the European Parliament delivering its opinion on 17 December.

A final Council adoption will follow once legal and linguistic checks have been completed, marking a decisive step towards Europe’s new AI and quantum capability.

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People trust doctors more than AI

New research shows that most people remain cautious about using ChatGPT for diagnoses but view AI more favourably when it supports cancer detection. The findings come from two nationally representative surveys presented at the Society for Risk Analysis annual meeting.

The study, led by researchers from USC and Baruch College, analysed trust and attitudes towards AI in medicine. Participants generally trusted human clinicians more, with only about one in six saying they trusted AI as much as a medical expert.

Individuals who had used AI tools such as ChatGPT tended to hold more positive attitudes, reporting greater understanding and enthusiasm for AI-assisted healthcare. Familiarity appeared to reduce hesitation and increase confidence in the technology.

When shown an AI system for early cervical cancer detection, respondents reported more excitement and potential than fear. The results suggest that concrete, real-world applications can help build trust in medical AI.

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Global network strengthens AI measurement and evaluation

Leaders around the world have committed to strengthening the scientific measurement and evaluation of AI following a recent meeting in San Diego.

Representatives from major economies agreed to intensify collaboration under the newly renamed International Network for Advanced AI Measurement, Evaluation and Science.

The UK has assumed the role of Network Coordinator, guiding efforts to create rigorous, globally recognised methods for assessing advanced AI systems.

A network that includes Australia, Canada, the EU, France, Japan, Kenya, the Republic of Korea, Singapore, the UK and the US, promoting shared understanding and consistent evaluation practices.

Since its formation in November 2024, the Network has fostered knowledge exchange to align countries on AI measurement and evaluation best practices. Boosting public trust in AI remains central, unlocking innovations, new jobs, and opportunities for businesses and innovators to expand.

The recent San Diego discussions coincided with NeurIPS, allowing government, academic and industry stakeholders to collaborate more deeply.

AI Minister Kanishka Narayan highlighted the importance of trust as a foundation for progress, while Adam Beaumont, Interim Director of the AI Security Institute, stressed the need for global approaches to testing advanced AI.

The Network aims to provide practical and rigorous evaluation tools to ensure the safe development and deployment of AI worldwide.

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Workplace study highlights Gemini’s impact on creativity

Google’s new research on the impact of Gemini AI in Workspace reveals that the technology is reshaping how teams collaborate, with surveyed workers reporting weekly time savings and increasing confidence in AI-supported tasks.

The findings, based on input from more than 1,200 leaders and employees across six countries, suggest generative AI is becoming integral to routine workflows.

Many users report that Gemini helps them accomplish more in less time, generate ideas faster, and redirect their attention from repetitive tasks to higher-value work.

The report highlights wider organisational benefits. Leaders see AI as a driver of innovation, but a gap remains between executive ambitions and employee readiness. Google says structured training and phased rollouts are key to building trust and improving adoption accuracy.

New and updated Workspace features aim to address these needs. Recent Gemini releases offer improved task automation, enhanced email drafting, and advanced storytelling tools, while no-code agent builders support more complex workflow design without specialist skills.

The research points to a broader transformation in digital productivity. Companies using Gemini report fewer hours spent on administrative work, higher engagement, and stronger collaboration as AI becomes a functional layer that supports rather than replaces human judgement.

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OpenAI launches Agentic AI Foundation with industry partners

The US AI company, OpenAI, has co-founded the Agentic AI Foundation (AAIF) under the Linux Foundation alongside Anthropic, Block, Google, Microsoft, AWS, Bloomberg, and Cloudflare.

A foundation that aims to provide neutral stewardship for open, interoperable agentic AI infrastructure as systems move from experimental prototypes into real-world applications.

The initiative includes the donation of OpenAI’s AGENTS.md, a lightweight Markdown file designed to provide agents with project-specific instructions and context.

Since its release in August 2025, AGENTS.md has been adopted by more than 60,000 open-source projects, ensuring consistent behaviour across diverse repositories and frameworks. Contributions from Anthropic and Block will include the Model Context Protocol and the goose project, respectively.

By establishing AAIF, the co-founders intend to prevent ecosystem fragmentation and foster safe, portable, and interoperable agentic AI systems.

The foundation provides a shared platform for development, governance, and extension of open standards, with oversight by the Linux Foundation to guarantee neutral, long-term stewardship.

OpenAI emphasises that the foundation will support developers, enterprises, and the wider open-source community, inviting contributors to help shape agentic AI standards.

The AAIF reflects a collaborative effort to advance agentic AI transparently and in the public interest while promoting innovation across tools and platforms.

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Snowflake launches AI platform for Japan enterprises

Japan’s businesses are set to gain new AI capabilities with the arrival of Snowflake Intelligence, a platform designed to let employees ask complex data questions using natural language.

The tool integrates structured and unstructured data into a single environment, enabling faster and more transparent decision-making.

Early adoption worldwide has seen more than 15,000 AI agents deployed in recent months, reflecting growing demand for enterprise AI. Snowflake Intelligence builds on this momentum by offering rapid text-to-SQL responses, advanced agent management and strong governance controls.

Japanese enterprises are expected to benefit from streamlined workflows, increased productivity, and improved competitiveness as AI agents uncover patterns across various sectors, including finance and manufacturing.

Snowflake aims to showcase the platform’s full capabilities during its upcoming BUILD event in December while promoting broader adoption of data-driven innovation.

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Google faces scrutiny over AI use of online content

The European Commission has opened an antitrust probe into Google over concerns it used publisher and YouTube content to develop its AI services on unfair terms.

Regulators are assessing whether Google used its dominant position to gain unfair access to content powering features like AI Overviews and AI Mode. They are examining whether publishers were disadvantaged by being unable to refuse use of their content without losing visibility on Google Search.

The probe also covers concerns that YouTube creators may have been required to allow the use of their videos for AI training without compensation, while rival AI developers remain barred from using YouTube content.

The investigation will determine whether these practices breached EU rules on abuse of dominance under Article 102 TFEU. Authorities intend to prioritise the case, though no deadline applies.

Google and national competition authorities have been formally notified as the inquiry proceeds.

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US rollout brings AI face tagging to Amazon Ring

Amazon has begun rolling out a new facial recognition feature for its Ring doorbells, allowing devices to identify frequent visitors and send personalised alerts instead of generic motion notifications.

The feature, called Familiar Faces, enables users to create a catalogue of up to 50 individuals, such as family members, friends, neighbours or delivery drivers, by labelling faces directly within the Ring app.

Amazon says the rollout is now under way in the United States, where Ring owners can opt in to the feature, which is disabled by default and designed to reduce unwanted or repetitive alerts.

The company claims facial data is encrypted, not shared externally and not used to train AI models, while unnamed faces are automatically deleted after 30 days, giving users ongoing control over stored information.

Privacy advocates and lawmakers remain concerned, however, citing Ring’s past security failures and law enforcement partnerships as evidence that convenience-driven surveillance tools can introduce long-term risks to personal privacy.

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MIT introduces rapid object creation using AI

MIT researchers have created a speech-driven system that uses AI and robotics to build physical objects in minutes. Users provide a spoken request, and a robotic arm constructs items such as stools, shelves or decorative pieces from modular components.

The workflow turns spoken input into a digital mesh, divides it into parts and adjusts the design for real-world fabrication. An automated sequence directs the robot to assemble the object, enabling quick production without modelling or robotics expertise.

The modular approach reduces waste by allowing components to be disassembled and reused. The team also plans enhancements to improve structural strength and extend the system to larger-scale applications.

Researchers are also working on combining speech with gesture control to offer more intuitive interaction between humans, AI and robots.

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Deutsche Telekom partners with OpenAI to expand advanced AI services across Europe

OpenAI has formed a new partnership with Deutsche Telekom to deliver advanced AI capabilities to millions of people across Europe. The collaboration brings together Deutsche Telekom’s customer base and OpenAI’s research to expand the availability of practical AI tools.

The companies aim to introduce simple, multilingual and privacy-focused AI services starting in 2026, helping users communicate, learn and accomplish tasks more efficiently. Widespread familiarity with platforms such as ChatGPT is expected to support rapid uptake of these new offerings.

Deutsche Telekom will introduce ChatGPT Enterprise internally, giving staff secure access to tools that improve customer support and streamline workflows. The move aligns with the firm’s goal of modernising operations through intelligent automation.

Further integration of AI into network management and employee copilots will support the transition towards more autonomous, self-optimising systems. The partnership is expected to strengthen the availability and reliability of AI services throughout Europe.

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