ai

India moves toward mandatory AI royalty regime

India is weighing a sweeping copyright framework that would require AI companies to pay royalties for training on copyrighted works under a mandatory blanket licence branded as the hybrid ‘One Nation, One Licence, One Payment’ model.

A new Copyright Royalties Collective for AI Training, or CRCAT, would collect payments from developers and distribute money to creators. AI firms would have to rely only on lawfully accessed material and file detailed summaries of training datasets, including data types and sources.

The panel is expected to favour flat, revenue-linked percentages on global earnings from commercial AI systems, reviewed roughly every three years and open to legal challenge in court.

Obligations would apply retroactively to AI developers that have already trained profitable models on copyright-protected material, framed by Indian policymakers as a corrective measure for the creative ecosystem.

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Users gain new control with Instagram feed algorithm

Instagram has unveiled a new AI-powered feature called ‘Your Algorithm’, giving users control over the topics shown in their Reels feed. The tool analyses viewing history and allows users to indicate which subjects they want to see more or less of.

The feature displays a summary of each user’s top interests and allows typing in specific topics to fine-tune recommendations in real-time. Instagram plans to expand the tool beyond Reels to Explore and other areas of the app.

Launch started in the US, with a global rollout in English expected soon. The initiative comes amid growing calls for social media platforms to provide greater transparency over algorithmic content and avoid echo chambers.

By enabling users to adjust their feeds directly, Instagram aims to offer more personalised experiences while responding to regulatory pressures and societal concerns over harmful content.

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India expands job access with AI-powered worker platforms

India is reshaping support for its vast informal workforce through e-Shram, a national database built to connect millions of people to social security and better job prospects.

The database works together with the National Career Service portal, and both systems run on Microsoft Azure.

AI tools are now improving access to stable employment by offering skills analysis, resume generation and personalised career pathways.

The original aim of e-Shram was to create a reliable record of informal workers after the pandemic exposed major gaps in welfare coverage. Engineers had to build a platform capable of registering hundreds of millions of people while safeguarding sensitive data.

Azure’s scalable infrastructure allowed the system to process high transaction volumes and maintain strong security protocols. Support reached remote areas through a network of service centres, helped further by Bhashini, an AI language service offering real-time translation in 22 Indian languages.

More than 310 million workers are now registered and linked to programmes providing accident insurance, medical subsidies and housing assistance. The integration with NCS has opened paths to regulated work, often with health insurance or retirement savings.

Workers receive guidance on improving employability, while new features such as AI chatbots and location-focused job searches aim to help those in smaller cities gain equal access to opportunities.

India is using the combined platforms to plan future labour policies, manage skill development and support international mobility for trained workers.

Officials also hope the digital systems will reduce reliance on job brokers and strengthen safe recruitment, including abroad through links with the eMigrate portal.

The government has already presented the platforms to international partners and is preparing to offer them as digital public infrastructure for other countries seeking similar reforms.

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AI teachers and deepfakes tested to ease UK teacher shortages

Amid a worsening recruitment and retention crisis in UK education, some schools are trialling AI-based teaching solutions, including remote teachers delivered via video links and even proposals for deepfake avatars to give lessons.

These pilots are part of efforts to maintain educational provision where qualified staff are scarce, with proponents arguing that technology can help reduce teacher workload and address gaps in core subjects, such as mathematics.

However, many teachers and unions remain sceptical or critical. Some educators argue that remote or AI-led instruction cannot replace the human presence, interpersonal support and contextual knowledge provided by in-room teachers.

Union activity and petitions opposing virtual teaching arrangements reflect broader concerns about the implications for job security, education quality and the potential de-professionalisation of teaching.

The BBC’s reporting highlighted specific examples, such as a Lancashire secondary school bringing in a remote maths teacher based hundreds of miles away, a move that sparked debate among local teachers who emphasise the irreplaceable role of in-person interaction in effective teaching.

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DeVry improves student support with AI

In the US, DeVry University has upgraded its student support system by deploying Salesforce Agentforce 360, aiming to offer faster and more personalised assistance to its 32,000 learners.

The new AI agents provide round-the-clock support for DeVryPro, the university’s online learning programme, ensuring students receive timely guidance.

The platform also simplifies course enrolment through a self-service website, allowing learners to manage enrolment and payments efficiently. Real-time guidance replaces the previous chatbot, helping students access course information and support outside regular hours.

With Data 360 integrating information from multiple systems, DeVry can deliver personalised recommendations while automating time-consuming tasks such as weekly onboarding.

Advisors can now focus on building stronger connections with students and supporting the development of workforce skills.

University leaders emphasise that these advancements reflect a commitment to preparing learners for an AI-driven workforce, combining innovative technology with personalised academic experiences. The initiative positions DeVry as a leader in integrating AI into higher education.

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Multimodal AI reveals new immune patterns across cancer types

A recent study examined the capabilities of GigaTIME, a multimodal AI framework that models the tumour immune microenvironment by converting routine H and E slides into virtual multiplex immunofluorescence images.

Researchers aimed to solve long-standing challenges in profiling tumour ecosystems by using a scalable and inexpensive technique instead of laboratory methods that require multiple samples and extensive resources.

The study focused on how large image datasets could reveal patterns of protein activity that shape cancer progression and therapeutic response.

GigaTIME was trained on millions of matched cells and applied to more than fourteen thousand slides drawn from a wide clinical network. The system generated nearly 300.000 virtual images and uncovered over 1000 associations between protein channels and clinical biomarkers.

Spatial features such as sharpness, entropy and signal variability were often more informative than density alone, revealing immune interactions that differ strongly across cancer types.

When tested on external tumour collections, the framework maintained strong performance and consistently exceeded the results of comparator models.

The study reported that GigaTIME could identify patterns linked to tumour invasion, survival and stage. Protein combinations offered a clearer view of immune behaviour than single markers, and the virtual signatures aligned with known and emerging genomic alterations.

Certain proteins were easier to infer than others, which reflected structural differences at the cellular level rather than model limitations. The research also suggested that immune evasion mechanisms may shift during advanced disease, altering how proteins such as PD-L1 contribute to tumour progression.

The authors argued that virtual multiplex imaging could expand access to spatial proteomics for both research and clinical practice.

Wider demographic representation and broader protein coverage are necessary for future development, yet the approach demonstrated clear potential to support large population studies instead of the restricted datasets produced through traditional staining methods.

Continued work seeks to build a comprehensive atlas and refine cell-level segmentation to deepen understanding of immune and tumour interactions.

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Big Tech boosts India’s AI ambitions amid concerns over talent flight and limited infrastructure

Major announcements from Microsoft ($17.5bn) and Amazon (over $35bn by 2030) have placed India at the centre of global AI investment trends, offering momentum at a time when analysts frame Indian markets as a ‘hedge’ against a potential global AI bubble.

While India has rapidly adopted AI and attracted substantial funding for data centres and chip manufacturing, including a new collaboration between Intel and Tata Electronics, the country remains a follower rather than a frontrunner in sovereign AI capabilities.

India’s government is preparing to launch its first sovereign AI model, which will support more than 22 languages. Yet its $1.25 billion investment is dwarfed by France’s €117 billion and Saudi Arabia’s $100 billion AI programmes, leaving India far behind in compute availability, R&D depth, and semiconductor infrastructure.

Despite having 2.5 times the global average concentration of AI-skilled professionals, the country faces persistent talent flight due to limited high-end domestic opportunities and a lack of competitive policy incentives.

According to EY and UNCTAD, India’ punches above its weight’ relative to its economic stage, ranking among the top nations in AI talent, startup activity, and scientific publications. Still, funding gaps remain stark: Indian AI startups raised just $1.16 billion, compared to more than $100 billion in the US and nearly $10 billion in China.

India’s emerging strength lies less in foundation-model development and more in downstream AI applications, where cost-efficient tools can drive entrepreneurship and solve local challenges such as agriculture, education, and public service delivery. Apps like MahaVISTAAR, reaching over 15 million farmers, illustrate this direction.

Yet AI also poses a threat to India’s economic backbone. Analysts warn that the country’s IT services sector, which has long been a pillar of growth, is becoming increasingly vulnerable as AI automates core business functions. Underperformance in IT stocks, reduced hiring, and stagnant wages signal early disruption.

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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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Three in ten US teens now use AI chatbots every day, survey finds

According to new data from the Pew Research Center, roughly 64% of US teens (aged 13–17) say they have used an AI chatbot; about three in ten (≈ 30%) report daily use. Among those teens, the leading chatbot is ChatGPT (used by 59%), followed by Gemini (23%) and Meta AI (20%).

The widespread adoption raises growing safety and welfare concerns. As teenagers increasingly rely on AI for information, companionship or emotional support, critics point to potential risks, including exposure to biased content, misinformation, or emotionally manipulative interactions, particularly among vulnerable youth.

Legal action has already followed, with families of at least two minors suing AI-developer companies after alleged harmful advice from chatbots.

Demographic patterns reveal that Black and Hispanic teens report higher daily usage rates (around 33-35%) compared to their White peers (≈ 22%). Daily use is also more common among older teens (15–17) than younger ones.

For policymakers and digital governance stakeholders, the findings add urgency to calls for AI-specific safeguarding frameworks, especially where young people are concerned. As AI tools become embedded in adolescent life, ensuring transparency, responsible design, and robust oversight will be critical to preventing unintended harms.

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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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