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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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AI leaders call for a global pause in superintelligence development

More than 850 public figures, including leading computer scientists Geoffrey Hinton and Yoshua Bengio, have signed a joint statement urging a global slowdown in the development of artificial superintelligence.

The open letter warns that unchecked progress could lead to human economic displacement, loss of freedom, and even extinction.

An appeal that follows growing anxiety that the rush toward machines surpassing human cognition could spiral beyond human control. Alan Turing predicted as early as the 1950s that machines might eventually dominate by default, a view that continues to resonate among AI researchers today.

Despite such fears, global powers still view the AI race as essential for national security and technological advancement.

Tech firms like Meta are also exploiting the superintelligence label to promote their most ambitious models, while leaders such as OpenAI’s Sam Altman and Microsoft’s Mustafa Suleyman have previously acknowledged the existential risks of developing systems beyond human understanding.

The statement calls for an international prohibition on superintelligence research until there is a broad scientific consensus on safety and public approval.

Its signatories include technologists, academics, religious figures, and cultural personalities, reflecting a rare cross-sector demand for restraint in an era defined by rapid automation.

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ChatGPT faces EU’s toughest platform rules after 120 million users

OpenAI’s ChatGPT could soon face the EU’s strictest platform regulations under the Digital Services Act (DSA), after surpassing 120 million monthly users in Europe.

A milestone that places OpenAI’s chatbot above the 45 million-user threshold that triggers heightened oversight.

The DSA imposes stricter obligations on major platforms such as Meta, TikTok, and Amazon, requiring greater transparency, risk assessments, and annual fees to fund EU supervision.

The European Commission confirmed it has begun assessing ChatGPT’s eligibility for the ‘very large online platform’ status, which would bring the total number of regulated platforms to 26.

OpenAI reported that its ChatGPT search function alone had 120.4 million monthly active users across the EU in the six months ending 30 September 2025. Globally, the chatbot now counts around 700 million weekly users.

If designated under the DSA, ChatGPT would be required to curb illegal and harmful content more rigorously and demonstrate how its algorithms handle information, marking the EU’s most direct regulatory test yet for generative AI.

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