Interdisciplinary approaches Archives | Page 121 of 190

First quantum-AI data centre launched in New York City

Oxford Quantum Circuits (OQC) and Digital Realty have launched the first quantum-AI data centre in New York City at the JFK10 facility, powered by Nvidia GH200 Grace Hopper Superchips. The project combines superconducting quantum computers with AI supercomputing under one roof.

OQC’s GENESIS quantum computer is the first to be deployed in a New York data centre, designed to support hybrid workloads and enterprise adoption. Future GENESIS systems will ship with Nvidia accelerated computing and CUDA-Q integration as standard.

OQC CEO Gerald Mullally said the centre will drive the AI revolution securely and at scale, strengthening the UK–US technology alliance. Digital Realty CEO Andy Power called it a milestone for making quantum-AI accessible to enterprises and governments.

UK Science Minister Patrick Vallance highlighted the £212 billion economic potential of quantum by 2045, citing applications from drug discovery to clean energy. He said the launch puts British innovation at the heart of next-generation computing.

The centre, embedded in Digital Realty’s PlatformDIGITAL, will support applications in finance, security, and AI, including quantum machine learning and accelerated model training. OQC Chair Jack Boyer said it demonstrates UK–US collaboration in leading frontier technologies.

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AI will kill middle-ground media, but raw content will thrive

Advertising is heading for a split future. By 2030, brands will run hyper-personalised AI campaigns or embrace raw human storytelling. Everything in between will vanish.

AI-driven advertising will go far beyond text-to-image gimmicks. These adaptive systems will combine social trends, search habits, and first-party data to create millions of real-time ad variations.

The opposite approach will lean into imperfection, featuring unpolished TikToks, founder-shot iPhone videos, and authentic and alive content. Audiences reward authenticity over carefully scripted, generic campaigns.

Mid-tier, polished, forgettable, creative work will be the first to fade away. AI can replicate it instantly, and audiences will scroll past it without noticing.

Marketers must now pick a side: feed AI with data and scale personalisation, or double down on community-driven, imperfect storytelling. The middle won’t survive.

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3D figurine craze takes off with Google Gemini update

Google’s Gemini latest update has sparked a social media craze by allowing users to transform 2D photos into lifelike 3D figurines. The feature, part of Gemini 2.5 Flash Image, has quickly become the standout trend from the update.

Instead of serving as a photo-editing tool, Gemini now helps users turn selfies, portraits, and pet photos into stylized statuettes. The images resemble collectable vinyl or resin figures, with smooth finishes and polished detailing.

The digital figurine trend blends personalisation with creativity, allowing users to reimagine themselves or loved ones as miniature display pieces. The playful results have been widely shared across platforms, driving renewed engagement with Google’s AI suite.

The figurine generator also complements Gemini’s other creative functions, such as image combination and style transformation, which allow users to experiment with entirely new aesthetics. Together, these tools extend Gemini’s appeal beyond simple photo correction.

While other platforms have offered 3D effects, Gemini’s version produces highly polished results in seconds, democratising what was once a niche 3D modelling skill. For many, it is the most accessible way to turn memories into digital art.

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Study reveals why humans adapt better than AI

A new interdisciplinary study from Bielefeld University and other leading institutions explores why humans excel at adapting to new situations while AI systems often struggle. Researchers found humans generalise through abstraction and concepts, while AI relies on statistical or rule-based methods.

The study proposes a framework to align human and AI reasoning, defining generalisation, how it works, and how it can be assessed. Experts say differences in generalisation limit AI flexibility and stress the need for human-centred design in medicine, transport, and decision-making.

Researchers collaborated across more than 20 institutions, including Bielefeld, Bamberg, Amsterdam, and Oxford, under the SAIL project. The initiative aims to develop AI systems that are sustainable, transparent, and better able to support human values and decision-making.

Interdisciplinary insights may guide the responsible use of AI in human-AI teams, ensuring machines complement rather than disrupt human judgement.

The findings underline the importance of bridging cognitive science and AI research to foster more adaptable, trustworthy, and human-aligned AI systems capable of tackling complex, real-world challenges.

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Japan-backed AI avatar to highlight climate risks at Osaka Expo

An AI avatar named Una will be presented at the UN pavilion during the 2025 World Expo in Osaka later in the month as part of efforts to promote climate action.

The anime-inspired character, developed with support from the Japanese government, will use 3D hologram technology to engage visitors from 29 September to 4 October.

Una was launched online in May and can respond automatically in multiple languages, including English and Japanese. She was created under the Pacific Green Transformation Project, which supports renewable energy initiatives such as electric vehicles in Samoa and hydropower in Vanuatu.

Her role is to share stories of Pacific island nations facing the impacts of rising sea levels and raise awareness about climate change.

Kanni Wignaraja, UN assistant secretary-general and regional director for Asia and the Pacific, described Una as a strong voice for threatened communities. Influenced by Japanese manga and anime, she is designed to act like a cultural ambassador who connects Pacific struggles with Japanese audiences.

Pacific sea levels have risen by more than 15 centimetres in some regions over the past three decades, leading to flooding, crop damage and migration fears. The risks are existential for nations like Tuvalu, with an average elevation of just two metres.

The UN hopes Una will encourage the public to support renewable energy adoption and climate resilience in vulnerable regions.

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Millions of customer records stolen in Kering luxury brand data breach

Kering has confirmed a data breach affecting several of its luxury brands, including Gucci, Balenciaga, Brioni, and Alexander McQueen, after unauthorised access to its Salesforce systems compromised millions of customer records.

Hacking group ShinyHunters has claimed responsibility, alleging it exfiltrated 43.5 million records from Gucci and nearly 13 million from the other brands. The stolen data includes names, email addresses, dates of birth, sales histories, and home addresses.

Kering stated that the incident occurred in June 2025 and did not compromise bank or credit card details or national identifiers. The company has reported the breach to the relevant regulators and is notifying the affected customers.

Evidence shared by ShinyHunters suggests Balenciaga made an initial ransom payment of €500,000 before negotiations broke down. The group released sample data and chat logs to support its claims.

ShinyHunters has exploited Salesforce weaknesses in previous attacks targeting luxury, travel, and financial firms. Questions remain about the total number of affected customers and the potential exposure of other Kering brands.

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Codex gets smarter with GPT-5, targets GitHub Copilot and rivals

OpenAI has optimised its new GPT-5 model for Codex, its agentic software development tool, boosting performance on both quick coding sessions and long, complex projects. CEO Sam Altman said Codex already accounts for 40% of platform traffic.

GPT-5 Codex can now build full projects, add features, run tests, refactor large codebases, and conduct detailed code reviews. It dynamically adjusts the time spent ‘thinking’ based on task complexity, allowing both interactive pair programming and extended autonomous work.

OpenAI stated that the model can run independently for over seven hours, completing refactorings, fixing test failures, and delivering finished code. Early tests indicate that it catches critical bugs more reliably, allowing developers to focus on the most important issues.

The upgraded Codex is available via terminal, IDE integrations, the web, and GitHub, and comes bundled with ChatGPT Plus, Pro, Business, Edu, and Enterprise subscriptions. OpenAI launched Codex CLI in April and a research preview in May.

With GPT-5 Codex, OpenAI aims to capture market share from GitHub Copilot, Google’s Gemini, Anthropic’s Claude, and startups such as Anysphere and Windsurf. The company claims the new version delivers faster, higher-quality results for developers at every stage of the software lifecycle.

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PDGrapher AI tool aims to speed up precision medicine development

Harvard Medical School researchers have developed an AI tool that could transform drug discovery by identifying multiple drivers of disease and suggesting treatments to restore cells to a healthy state.

The model, called PDGrapher, utilises graph neural networks to map the relationships between genes, proteins, and cellular pathways, thereby predicting the most effective targets for reversing disease. Unlike traditional approaches that focus on a single protein, it considers multiple factors at once.

Trained on datasets of diseased cells before and after treatment, PDGrapher correctly predicted known drug targets and identified new candidates supported by emerging research. The model ranked potential targets up to 35% higher and worked 25 times faster than comparable tools.

Researchers are now applying PDGrapher to complex diseases such as Parkinson’s, Alzheimer’s, and various cancers, where single-target therapies often fail. By identifying combinations of targets, the tool can help overcome drug resistance and expedite treatment design.

Senior author Marinka Zitnik said the ultimate goal is to create a cellular ‘roadmap’ to guide therapy development and enable personalised treatments for patients. After further validation, PDGrapher could become a cornerstone in precision medicine.

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Privacy-preserving AI gets a boost with Google’s VaultGemma model

Google has unveiled VaultGemma, a new large language model built to offer cutting-edge privacy through differential privacy. The 1-billion-parameter model is based on Google’s Gemma architecture and is described as the most powerful differentially private LLM to date.

Differential privacy adds mathematical noise to data, preventing the identification of individuals while still producing accurate overall results. The method has long been used in regulated industries, but has been challenging to apply to large language models without compromising performance.

VaultGemma is designed to eliminate that trade-off. Google states that the model can be trained and deployed with differential privacy enabled, while maintaining comparable stability and efficiency to non-private LLMs.

This breakthrough could have significant implications for developers building privacy-sensitive AI sy s tems, ranging from healthcare and finance to government services. It demonstrates that sensitive data can be protected without sacrificing speed or accuracy.

Google’s research teams say the model will be released with open-source tools to help others adopt privacy-preserving techniques. The move comes amid rising regulatory and public scrutiny over how AI systems handle personal data.

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EdChat AI app set for South Australian schools amid calls for careful use

South Australian public schools will soon gain access to EdChat, a ChatGPT-style app developed by Microsoft in partnership with the state government. Education Minister Blair Boyer said the tool will roll out next term across public high schools following a successful trial.

Safeguards have been built into EdChat to protect student data and alert moderators if students type concerning prompts, such as those related to self-harm or other sensitive topics. Boyer said student mental health was a priority during the design phase.

Teachers report that students use EdChat to clarify instructions, get maths solutions explained, and quiz themselves on exam topics. Adelaide Botanic High School principal Sarah Chambers described it as an ‘education equaliser’ that provides students with access to support throughout the day.

While many educators in Australia welcome the rollout, experts warn against overreliance on AI tools. Toby Walsh of UNSW said students must still learn how to write essays and think critically, while others noted that AI could actually encourage deeper questioning and analysis.

RMIT computing expert Michael Cowling said generative AI can strengthen critical thinking when used for brainstorming and refining ideas. He emphasised that students must learn to critically evaluate AI output and utilise the technology as a tool, rather than a substitute for learning.

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