Digital standards

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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AI challenges how students prepare for exams

Australia’s Year 12 students are the first to complete their final school years with widespread access to AI tools such as ChatGPT.

Educators warn that while the technology can support study, it risks undermining the core skills of independent thinking and writing. In English, the only compulsory subject, critical thinking is now viewed as more essential than ever.

Trials in New South Wales and South Australia use AI programs designed to guide rather than provide answers, but teachers remain concerned about how to verify work and ensure students value their own voices.

Experts argue that exams, such as the VCE English paper in October, highlight the reality that AI cannot sit assessments. Students must still practise planning, drafting and reflecting on ideas, skills which remain central to academic success.

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Lumex chips bring advanced AI to mobile devices

Arm Holdings has unveiled Lumex, its next-generation chip designs built to bring advanced AI performance directly to mobile devices.

The new designs range from highly energy-efficient chips for wearables to high-performance versions capable of running large AI models on smartphones without cloud support.

Lumex forms part of Arm’s Compute Subsystems business, offering handset makers pre-integrated designs, while also strengthening Arm’s broader strategy to expand smartphone and data centre revenues.

The chips are tailored for 3-nanometre manufacturing processes provided by suppliers such as TSMC, whose technology is also used in Apple’s latest iPhone chips. Arm has indicated further investment in its own chip development to capitalise on demand.

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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 systems, 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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Industry leaders urge careful AI use in research projects

The 2026 Adwanted Media Research Awards will feature a new category for Best Use of AI in Research Projects, reflecting the growing importance of this technology in the industry.

Head judge Denise Turner of IPA said AI should be viewed as a tool to expedite workflows, not replace human insight, emphasising that researchers remain essential to interpreting results and posing the right questions.

Route CEO Euan Mackay said AI enables digital twins, synthetic data, and clean-room integrations, shifting researchers’ roles from survey design to auditing and ensuring data integrity in an AI-driven environment.

OMD’s Laura Rowe highlighted AI’s ability to rapidly process raw data, transcribe qualitative research, and extend insights across strategy and planning — provided ethical oversight remains in place.

ITV’s Neil Mortensen called this the start of a ‘gold rush’, urging the industry to use AI to automate tedious tasks while preserving rigorous methods and enabling more time for deep analysis.

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Banana AI saree trend pushes Google Gemini to the top

A few months after Ghibli-style AI images went viral, a new Instagram trend is sweeping users: 1990s Bollywood-style saree portraits generated through Google’s Gemini Nano Banana tool.

Known as the ‘Banana AI saree’ edit, the feature allows users to turn ordinary selfies into nostalgic retro-style images. The edits evoke classic cinema with chiffon sarees, grainy textures, bold make-up, and jasmine-adorned hair, often styled under golden sunlight for a vintage glow.

The tool has quickly become a social media hit. Users can experiment with sarees, retro sherwanis, or even traditional dhotis by adjusting prompts to personalise their look. The trend follows earlier viral edits such as hyper-realistic 3D figurine portraits.

With its popularity soaring, Google Gemini has now topped the Apple App Store’s free apps chart in both India and the US, outpacing competitors like ChatGPT and Grok. Google DeepMind’s chief, Demis Hassabis, praised the Gemini team, calling it ‘just the start’.

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Rising data centre demand pushes utilities to invest

US electricity prices are rising as the energy demands of data centres surge, driven by the rapid growth of AI technologies. The average retail price per kilowatt-hour increased by 6.5% between May 2024 and May 2025, with some states experiencing significantly sharper increases.

Maine saw the sharpest rise in electricity prices at 36.3%, with Connecticut and Utah following closely behind. Utilities are passing on infrastructure costs, including new transmission lines, to consumers. In Northern Virginia, residents could face monthly bill increases of up to $37 by 2040.

Analysts warn that the shift to generative AI will lead to a 160% surge in energy use at data centres by 2030. Water use is also rising sharply, as Google reported its facilities consumed around 6 billion gallons in 2024 alone, amid intensifying global AI competition.

Tech giants are turning to alternative energy to keep pace. Google has announced plans to power data centres with small nuclear reactors through a partnership with Kairos Power, while Microsoft and Amazon are ramping up nuclear investments to secure long-term supply.

President Donald Trump has pledged more than $92 billion in AI and energy infrastructure investments, underlining Washington’s push to ensure the US remains competitive in the AI race despite mounting strain on the grid and water resources.

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German state pushes digital sovereignty

The northern German state of Schleswig-Holstein is pushing ahead with an ambitious plan to replace Microsoft software in its public administration with open-source alternatives.

With around 30,000 civil servants, a workforce comparable to the European Commission, the region has already migrated most staff to new systems. It expects to cut its Office licences by more than two-thirds before the end of the month.

Instead of relying on Word, Outlook or SharePoint, staff are switching to LibreOffice, Thunderbird, Open Xchange and Nextcloud. A Linux pilot is also underway, testing the replacement of Windows itself.

The digital minister, Dirk Schrödter, admitted the schedule is tight but said that 24,000 employees are already using the new setup. By 2029, only a handful of Microsoft licences should remain, kept for compatibility with federal services.

A transition that has not been free of challenges. Some judges have called for a return to Outlook, citing outages, while larger providers such as SAP have proven difficult to adapt.

Still, Schrödter argued the investment is about sovereignty rather than cost-cutting, comparing Europe’s reliance on Big Tech to its dependence on Russian gas before 2022. He urged Brussels to prioritise open-source solutions in procurement rules to reduce dependence on foreign tech giants.

Although Schleswig-Holstein is a relatively small region, its programme has already influenced wider German and European initiatives.

Similar efforts, including Germany’s OpenDesk project, have gained traction in France, Italy and the Netherlands, with several governments now watching the experiment closely.

Schrödter said the state’s progress surprises many observers, but he believes it shows how public administrations can regain control of their digital infrastructure.

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Scientist and DeepMind’s CEO Demis Hassabis says learning how to learn is key to the AI future

The Nobel laureate, Demis Hassabis, has argued that the most crucial ability for the next generation will be learning how to learn.

Speaking at the Odeon of Herodes Atticus in Athens, Greece, he said adaptability was vital as AI reshapes work and education.

The neuroscientist and former chess prodigy predicted that AGI machines with human-level versatility could emerge within a decade. He described it as a development that may create a future of radical abundance, although he warned of risks.

Hassabis urged a stronger focus on ‘meta-skills’ such as optimising approaches to new subjects, instead of relying solely on traditional disciplines.

Given the speed of technological change, he emphasised that people will need to update their knowledge continuously throughout their careers.

His remarks came during a discussion with Greek Prime Minister Kyriakos Mitsotakis, who warned that the unchecked growth of technology giants could fuel economic inequality and social unrest if citizens do not see clear benefits from AI adoption.

Hassabis’s work on protein folding won him the 2024 Nobel Prize in chemistry.

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