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Airbus, Leonardo and Thales merge space units for 2027 launch

Three of Europe’s leading aerospace firms, Airbus, Leonardo and Thales, have agreed to merge their space businesses into a single joint venture to strengthen Europe’s global competitiveness.

A new company that will combine satellite and space service operations from the three groups, bringing together about 25,000 employees and generating around €6.5 billion in annual revenue.

The joint venture, expected to start operating in 2027 following regulatory approval, will integrate Airbus’s Space Systems and Space Digital units, Leonardo’s Space Division, and Thales’s stakes in Thales Alenia Space, Telespazio and optics company Thales SESO.

Airbus will hold a 35 per cent stake, while Leonardo and Thales will each own 32.5 per cent.

The companies said the partnership aims to accelerate innovation, unify Europe’s fragmented space sector, and enhance its autonomy in critical technologies.

Executives described the move as a milestone for Europe’s space ambitions, combining resources and research capacity to boost exports and technological leadership.

Project Bromo, as it was internally known, had been in development for more than a year. After months of valuation and governance talks, the agreement now paves the way for a new European space powerhouse capable of challenging US rivals and shaping the future of global space operations.

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South Korea moves to lead the AI era with OpenAI’s economic blueprint

Poised to become a global AI powerhouse, South Korea has the right foundations in place: advanced semiconductor production, robust digital infrastructure, and a highly skilled workforce.

OpenAI’s new Economic Blueprint for Korea sets out how the nation can turn those strengths into broad, inclusive growth through scaled and trusted AI adoption.

The blueprint builds on South Korea’s growing momentum in frontier technology.

Following OpenAI’s first Asia–Pacific country partnership, initiatives such as Stargate with Samsung and SK aim to expand advanced memory supply and explore next-generation AI data centres alongside the Ministry of Science and ICT.

A new OpenAI office in Seoul, along with collaboration with Seoul National University, further signals the country’s commitment to becoming an AI hub.

A strategy that rests on two complementary paths: building sovereign AI capabilities in infrastructure, data governance, and GPU supply, while also deepening cooperation with frontier developers like OpenAI.

The aim is to enhance operational maturity and cost efficiency across key industries, including semiconductors, shipbuilding, healthcare, and education.

By combining domestic expertise with global partnerships, South Korea could boost productivity, improve welfare services, and foster regional growth beyond Seoul. With decisive action, the nation stands ready to transform from a fast adopter into a global standard-setter for safe, scalable AI systems.

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Researchers develop advanced AI system to assess tumour relapse risk

Researchers at Universitat Rovira i Virgili have developed an AI model that predicts breast cancer recurrence more accurately than existing systems. The tool combines clinical data with MRI scans to detect subtle patterns signalling relapse risk.

Unlike traditional models, the AI also examines surrounding tissue, breast symmetry, and tumour texture variations. The system automatically segments MRI scans, extracts key features, and combines them with tumour type, hormone receptor status, and malignancy data.

Using a neural network model known as TabNet, it can interpret complex data while maintaining transparency in how predictions are made.

Tests on over 500 patients showed the model achieves high accuracy and reliably identifies those at real risk of relapse. Researchers say this reduces false negatives and helps ensure those needing further treatment are not overlooked.

Key indicators influencing predictions include tumour texture, breast symmetry, and hormone receptor status.

The AI model is scalable, interpretable, and suitable for clinical use without requiring costly or invasive genetic tests. Part of the European Bosomshield project, the research shows AI’s potential to make oncology more personalised and predictive.

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Oracle and Google Cloud launch multicloud database service in Australia

A new chapter in Australia’s cloud computing landscape has begun as Oracle and Google Cloud introduce Oracle Database@Google Cloud to local customers.

The service enables organisations to run Oracle Exadata Database Service on Dedicated Infrastructure hosted on Oracle Cloud Infrastructure within Google Cloud’s Melbourne data centre.

A collaboration that allows businesses to integrate Oracle’s enterprise database power with Google Cloud’s AI and analytics tools, improving decision-making, innovation and compliance with data residency requirements.

Through the Google Cloud Marketplace, Oracle and Google Cloud partners in Australia can now resell Oracle Database@Google Cloud, expanding access to multicloud solutions.

The launch marks growing demand for flexible, multicloud environments that blend high performance with AI-driven capabilities. Oracle’s Exadata Database Service on Dedicated Infrastructure and Oracle AI Database 26ai will help enterprises enhance analytics, AI productivity and application development.

These technologies deliver faster processing, secure data handling and new AI-driven search and development features.

Industry leaders such as Accenture say the partnership represents a significant step toward integrated, data-centric innovation.

With Oracle and Google Cloud combining their strengths, Australian organisations can modernise IT foundations, scale operations and accelerate digital transformation across industries.

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Alibaba pushes unified AI with Quark Chat and wearables

Quark, Alibaba’s consumer AI app, has launched an AI Chat Assistant powered by Qwen3 models, merging real-time search with conversational reasoning so users can ask by text or voice, get answers, and trigger actions from a single interface.

On iOS and Android, you can tap ‘assistant’ in the AI Super Box or swipe right to open chat, then use prompts to summarise pages, draft replies, or pull sources, with results easily shared to friends, Stories, or outside the app.

Beyond Q&A, the assistant adds deep search, photo-based problem-solving, and AI writing, while supporting multimodal tasks like photo editing, AI camera, and phone calls. Forthcoming MCP integrations will expand agent execution across Alibaba services.

Quark AI Glasses opened pre-sale in China on October 24 via Tmall with a list price of 4,699 RMB before coupons or memberships, deliveries starting in phases from December, and 1 RMB reservations available on JD.com and Douyin.

Powered by Qwen for hands-free assistance, translation, and meeting transcription, the glasses emphasise lightweight ergonomics, long battery life, and quality imaging, with bundles, accessories, and prescription lens options to broaden fit and daily use.

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Autonomous AI may improve diabetic eye screening in safety-net clinics

Researchers are testing if autonomous AI at FQHCs can boost diabetic retinopathy detection, accelerate diagnosis, and improve referral follow-through. The JAMA-published trial targets patients missing DR screening for 11 months, using FDA-cleared AI to analyse fundus photos during routine visits.

Immediate results allow same-day action, potentially reducing missed referrals for patients facing time, travel, and cost barriers.

The randomised, open-label trial at two San Diego County clinics compares point-of-care AI-DRS to usual-care referrals. Nonmydriatic fundus images are captured by trained staff, analysed by the AI algorithm, and results flow into the electronic health record (EHR).

Positive cases trigger immediate retina appointments, while ungradable images prompt urgent ophthalmology referrals. Outcomes at 90 and 180 days include screening completion, DR stage at detection, referral adherence, and patient-reported knowledge, attitudes, and self-efficacy.

The AI-DRS has demonstrated high accuracy in prior studies, detecting more-than-mild and vision-threatening DR with sensitivities above 96%. Workflow integration aims to cut diagnostic delays, using closed-loop referrals and ICD-10 coding for consistent documentation and population health tracking.

The study also evaluates implementation metrics such as image quality, acquisition success, and patient trust in AI-supported care.

If successful, the model could help clinics meet screening targets and streamline workflows for primary care providers. The protocol focuses on training, quality checks, and real-world use, providing a scalable way to prevent avoidable vision loss in underserved communities.

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OpenAI outlines Japan’s AI Blueprint for inclusive economic growth

A new Japan Economic Blueprint released by OpenAI sets out how AI can power innovation, competitiveness, and long-term prosperity across the country. The plan estimates that AI could add more than ¥100 trillion to Japan’s economy and raise GDP by up to 16%.

Centred on inclusive access, infrastructure, and education, the Blueprint calls for equal AI opportunities for citizens and small businesses, national investment in semiconductors and renewable energy, and expanded lifelong learning to build an adaptive workforce.

AI is already reshaping Japanese industries from manufacturing and healthcare to education and public administration. Factories reduce inspection costs, schools use ChatGPT Edu for personalised teaching, and cities from Saitama to Fukuoka employ AI to enhance local services.

OpenAI suggests that the focus of Japan on ethical and human-centred innovation could make it a model for responsible AI governance. By aligning digital and green priorities, the report envisions technology driving creativity, equality, and shared prosperity across generations.

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UC Santa Cruz uses NVIDIA AI to map global coastal flood risks

Researchers at the University of California, Santa Cruz, are using NVIDIA’s accelerated computing to model coastal flooding and support climate adaptation planning.

Led by Professor Michael Beck, the team develops high-resolution, GPU-powered visualisations to assess how coral reefs, mangroves, and dunes can reduce flood damage.

The centre employs NVIDIA CUDA-X software and RTX GPUs to speed up flood simulations from six hours to just 40 minutes. Using tools such as SFINCS and Unreal Engine 5, the team can now generate interactive visual models of storm impact scenarios, providing vital insights for governments and insurers.

The researchers’ current goal is to map flooding risks across small island states worldwide ahead of COP30. Their previous visualisations have already helped secure reef insurance policies in Mexico’s Mesoamerican Barrier Reef region, ensuring funding for coral restoration after severe storms.

A project, part of CoSMoS ADAPT, that aims to expand the US Geological Survey’s coastal modelling system and integrate nature-based solutions like dunes and reefs into large-scale flood resilience strategies.

Through NVIDIA’s technology and academic grants, the initiative demonstrates how accelerated computing can drive real-world environmental protection.

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GDPR does not bar courts from processing disputed evidence

The Advocate General of the EU’s top court advised that judges may process personal data as evidence even if obtained unlawfully. The opinion in NTH Haustechnik clarifies that courts can rely on public interest under Article 6(1)(e) GDPR when assessing such data.

The case arose from a German labour dispute where an employer accessed a former worker’s eBay account to prove alleged misconduct. The national court asked the CJEU whether evidence gathered unlawfully could still be lawfully processed in judicial proceedings.

The Advocate General stated that GDPR principles, including storage limitation and lawfulness, apply equally to courts. Yet no absolute ban prevents judges from handling unlawfully obtained data if national law provides safeguards consistent with the EU rights.

EU law leaves rules on evidence admissibility to member states, provided fairness, proportionality, and necessity are respected. The opinion emphasises that courts must balance privacy rights with their duty to determine the truth.

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UK data stays in the UK as OpenAI rolls out residency

OpenAI will offer UK data residency for API Platform, ChatGPT Enterprise, and ChatGPT Edu from October 24. The option, announced by Deputy PM David Lammy, is tied to a Ministry of Justice partnership. The government says it boosts privacy, security, and resilience for public services and business.

Lammy will unveil the ‘sovereign capability’ at OpenAI Frontiers, citing early MoJ efficiency gains. Over 1,000 probation officers will use Justice Transcribe to record and auto-transcribe offender meetings. Hours of admin shift to AI so staff can focus on supervision and public protection.

OpenAI CEO Sam Altman says UK usage has quadrupled in the past year. The company pitches AI as a way to save time and lift productivity across sectors. MoJ pilots have sparked interest from other departments, with broader adoption expected.

Data residency is a key blocker for regulated sectors, and this move aims to address that gap. Keeping data within the UK can simplify compliance and reduce perceived risk. It also underpins continuity plans by localising sensitive workloads.

ChatGPT Atlas, an AI-first web browser, was also announced this week. Its arrival could nudge users away from keyword searches toward conversational answers. OpenAI faces rivals Anthropic, Perplexity, and big tech incumbents in that shift.

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