Digital standards

Adobe brings its leading creative tools straight into ChatGPT

Yesterday, Adobe opened a new chapter for digital creativity by introducing Photoshop, Adobe Express and Adobe Acrobat inside ChatGPT.

The integration gives 800 million weekly users direct access to trusted creative and productivity tools through a conversational interface. Adobe aims to make creative work easier for newcomers by linking its technology to simple written instructions.

Photoshop inside ChatGPT offers selective edits, tone adjustments and creative effects, while Adobe Express brings quick design templates and animation features to people who want polished content without switching between applications.

Acrobat adds powerful document controls, allowing users to organise, edit or redact PDFs inside the chat. Each action blends conversation with Adobe’s familiar toolsets, giving users either simple text-driven commands or fine control through intuitive sliders.

The launch reflects Adobe’s broader investment in agentic AI and its Model Context Protocol. Earlier releases such as Acrobat Studio and AI Assistants for Photoshop and Adobe Express signalled Adobe’s ambition to expand conversational creative experiences.

Adobe also plans to extend an upcoming Firefly AI Assistant across multiple apps to support faster movement from an idea to a finished design.

All three apps are now available to ChatGPT users on desktop, web and iOS, with Android support expanding soon. Adobe positions the integration as an entry point for new audiences who may later move into the full desktop versions for deeper control.

The company expects the partnership to widen access to creative expression by letting anyone edit images, produce designs or transform documents simply by describing what they want to achieve.

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AI model predicts prediabetes with high accuracy

Researchers have developed an AI model that enhances prediabetes prediction by integrating oxidative stress markers with traditional clinical indicators. The Pattern Neural Network model achieved 98.3% accuracy in Indian adults, outperforming other machine learning methods.

Total antioxidant status emerged as a key predictor, with lower antioxidant capacity observed in individuals with prediabetes. Waist circumference and BMI were also highly informative, alongside glucose markers such as HbA1c and OGTT.

The inclusion of oxidative stress measures provides a deeper understanding of the mechanisms underlying metabolic risk.

The study used clinical and biochemical data from 199 adults, with the PNN trained on 14 features, including demographic and biochemical variables. High accuracy across all sets indicates strong potential for quick, low-cost screening and personalised early interventions.

While the results are promising, the single-centre design and limited sample size indicate that external validation is needed. Future studies should test the model in larger, multi-site cohorts and integrate longitudinal data to enhance its real-world applicability and public health impact.

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EU proposes easing environmental rules for datacentres and housing

The European Commission has proposed a significant overhaul of environmental rules, potentially exempting datacentres, AI facilities, and affordable housing from mandatory impact assessments.

Member states would retain discretion over whether such projects require full environmental scrutiny, as part of a broader plan to expedite permitting and reduce reporting obligations for businesses.

The package also repeals a hazardous chemical database, eases polluter obligations, and moves environmental management rules from individual plants to whole companies. The commission states that the changes could save firms €1 billion annually, but green groups warn of potential costs to health and biodiversity.

The proposals align with plans to modernise the EU electricity grid and new climate targets to reduce emissions by 90% compared to 1990. Experts have cautioned that loopholes allowing international carbon credits could weaken domestic emissions reductions.

Corporate sustainability laws are also being scaled back. The revised rules limit the number of companies covered, postpone compliance deadlines to 2029, and remove obligations to implement climate transition plans.

Business lobby groups have welcomed the changes as a more realistic approach to corporate social responsibility and due diligence.

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Australian families receive eSafety support as the social media age limit takes effect

Australia has introduced a minimum age requirement of 16 for social media accounts during the week, marking a significant shift in its online safety framework.

The eSafety Commissioner has begun monitoring compliance, offering a protective buffer for young people as they develop digital skills and resilience. Platforms now face stricter oversight, with potential penalties for systemic breaches, and age assurance requirements for both new and current users.

Authorities stress that the new age rule forms part of a broader effort aimed at promoting safer online environments, rather than relying on isolated interventions. Australia’s online safety programmes continue to combine regulation, education and industry engagement.

Families and educators are encouraged to utilise the resources on the eSafety website, which now features information hubs that explain the changes, how age assurance works, and what young people can expect during the transition.

Regional and rural communities in Australia are receiving targeted support, acknowledging that the change may affect them more sharply due to limited local services and higher reliance on online platforms.

Tailored guidance, conversation prompts, and step-by-step materials have been produced in partnership with national mental health organisations.

Young people are reminded that they retain access to group messaging tools, gaming services and video conferencing apps while they await eligibility for full social media accounts.

eSafety officials underline that the new limit introduces a delay rather than a ban. The aim is to reduce exposure to persuasive design and potential harm while encouraging stronger digital literacy, emotional resilience and critical thinking.

Ongoing webinars and on-demand sessions provide additional support as the enforcement phase progresses.

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UK partners with DeepMind to boost AI innovation

The UK Department for Science, Innovation and Technology (DSIT) has entered a strategic partnership with Google DeepMind to advance AI across public services, research, and security.

The non-legally binding memorandum of understanding outlines a shared commitment to responsible AI development, while enhancing national readiness for transformative technologies.

The collaboration will explore AI solutions for public services, including education, government departments, and the Incubator for AI (i.AI). Google DeepMind may provide engineering support and develop AI tools, including a government-focused version of Gemini aligned with the national curriculum.

Researchers will gain priority access to DeepMind’s AI models, including AlphaEvolve, AlphaGenome, and WeatherNext, with joint initiatives supporting automated R&D and lab facilities in the UK. The partnership seeks to accelerate innovation in strategically important areas such as fusion energy.

AI security will be strengthened through the UK AI Security Institute, which will share model insights, address emerging risks, and enhance national cyber preparedness. The MoU is voluntary, spans 36 months, and ensures compliance with data privacy laws, including UK GDPR.

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Vietnam passes first AI law to strict safeguards

Vietnam’s National Assembly has passed its first AI Law, advancing the regulation and development of AI nationwide. The legislation was approved with overwhelming support, alongside amendments to the Intellectual Property Law and a revised High Technology Law.

The AI Law will take effect on March 1, 2026.

The law establishes core principles, prohibits certain acts, and outlines a risk management framework for AI systems. The law combines safeguards for high-risk AI with incentives for innovation, including sandbox testing, a National AI Development Fund, and startup vouchers.

AI oversight will be centralised under the Government, led by the Ministry of Science and Technology, with assessments needed only for high-risk systems approved by the Prime Minister. The law allows real-time updates to this list to keep pace with technological advances.

Flexible provisions prevent obsolescence by avoiding fixed technology lists or rigid risk classifications. Lawmakers emphasised the balance between regulation and innovation, aiming to create a safe yet supportive environment for AI growth in Vietnam.

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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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AI agents redefine knowledge work through cognitive collaboration

A new study by Perplexity and Harvard researchers sheds light on how people use AI agents at scale.

Millions of anonymised interactions were analysed to understand who relies on agent technology, how intensively it is used and what tasks users delegate. The findings challenge the notion of a digital concierge model and reveal a shift toward more profound cognitive collaboration, rather than merely outsourcing tasks.

More than half of all activity involves cognitive work, with strong emphasis on productivity, learning and research. Users depend on agents to scan documents, summarise complex material and prepare early analysis before making final decisions.

Students use AI agents to navigate coursework, while professionals rely on them to process information or filter financial data. The pattern suggests that users adopt agents to elevate their own capability instead of avoiding effort.

Usage also evolves. Early queries often involve low-pressure tasks, yet long-term behaviour moves sharply toward productivity and sustained research. Retention rates are highest among users working on structured workflows or tasks that require knowledge.

The trajectory mirrors the early personal computer, which gained value through spreadsheets and text processing rather than recreational use.

Six main occupations now drive most agent activity, with firm reliance among digital specialists as well as marketing, management and entrepreneurial roles. Context shapes behaviour, as finance users concentrate on efficiency while students favour research.

Designers and hospitality staff follow patterns linked to their professional needs. The study argues that knowledge work is increasingly shaped by the ability to ask better questions and that hybrid intelligence will define future productivity.

The pace of adaptation across the broader economy remains an open question.

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SwissBorg unveils Mastercard-powered crypto card

SwissBorg has formed a strategic partnership with Mastercard to launch the SwissBorg Card, a crypto debit card designed to facilitate everyday digital-asset spending.

Users can spend crypto at over 150 million Mastercard locations worldwide, making digital assets more practical for everyday use.

The card provides real-time crypto-to-fiat conversion via SwissBorg’s Meta-Exchange, which finds the best rates across centralised and decentralised platforms. Users can select a primary asset with backups, and transactions are settled in local currencies such as CHF, GBP, or EUR.

The programme introduces a cashback system that returns up to 90% of exchange-related fees in BORG, with rewards increasing as users progress through SwissBorg’s loyalty ranks. Additional benefits include boosted yields, airdrops, and priority access to selected investment opportunities.

The SwissBorg app lets users manage cards, reorder assets, freeze or block cards, and track conversions. The virtual version will launch in Q1 2026 across 30 countries, with physical cards and expanded features planned for subsequent releases.

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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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