Adobe has launched a new enterprise service allowing firms to build custom AI models. The platform, called Adobe AI Foundry, lets companies train generative AI on their branding and intellectual property.
Based on Adobe’s Firefly models, the service can produce text, images, video, and 3D content. Pricing depends on usage, offering greater flexibility than Adobe’s traditional subscription model.
Adobe’s Firefly technology, first introduced in 2023, has already helped clients create over 25 billion assets. Foundry’s tailored models are expected to speed up campaign production while maintaining consistent brand identity across markets.
Hannah Elsakr, Adobe’s vice president for generative AI ventures, said the tools aim to enhance, not replace, human creativity. She emphasised that Adobe’s mission remains centred on supporting artists and marketers in telling powerful stories through technology.
The company believes its ethical approach to AI training and licensing could set a standard for enterprise-grade creative tools. Analysts say it also positions Adobe strongly against rivals offering generic AI solutions.
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Reports surfaced earlier this month showing Sora 2 users creating deepfakes of Cranston and other public figures. Several Hollywood agencies criticised OpenAI for requiring individuals to opt out of replication instead of opting in.
Major talent agencies, including UTA and CAA, co-signed a joint statement with OpenAI and industry unions. They pledged to collaborate on ethical standards for AI-generated media and ensure artists can decide how they are represented.
The incident underscores growing tension between entertainment professionals and AI developers. As generative video tools evolve, performers and studios are demanding clear boundaries around consent and digital replication.
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Dutch officials will study how the gaming platform affects young users, focusing on safety, mental health, and privacy. The assessment aims to identify both the benefits and risks of Roblox. Authorities say the findings will help guide new policies and support parents in protecting their children online.
Roblox has faced mounting criticism over unsafe content and the presence of online predators. Reports of games containing violent or sexual material have raised alarms among parents and child protection groups.
The US state of Louisiana recently sued Roblox, alleging that it enabled systemic child exploitation through negligence. Dutch experts argue that similar concerns justify a thorough review in the Netherlands.
Previous Dutch investigations have examined platforms such as Instagram, TikTok, and Snapchat under similar children’s rights frameworks. Policymakers hope the Roblox review will set clearer standards for digital child safety across Europe.
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Australia’s business leaders were urged to adopt AI now to stay competitive, despite the absence of hard rules, at the AI Leadership Summit in Brisbane. The National AI Centre unveiled revised voluntary guidelines, and Assistant Minister Andrew Charlton said a national AI plan will arrive later this year.
The guidance sets six priorities, from stress-testing and human oversight to clearer accountability, aiming to give boards practical guardrails. Speakers from NVIDIA, OpenAI, and legal and academic circles welcomed direction but pressed for certainty to unlock stalled investment.
Charlton said the plan will focus on economic opportunity, equitable access, and risk mitigation, noting some harms are already banned, including ‘nudify’ apps. He argued Australia will be poorer if it hesitates, and regulators must be ready to address new threats directly.
The debate centred on proportional regulation: too many rules could stifle innovation, said Clayton Utz partner Simon Newcomb, yet delays and ambiguity can also chill projects. A ‘gap analysis’ announced by Treasurer Jim Chalmers will map which risks existing laws already cover.
CyberCX’s Alastair MacGibbon warned that criminals are using AI to deliver sharper phishing attacks and flagged the return of erotic features in some chatbots as an oversight test. His message echoed across panels: move fast with governance, or risk ceding both competitiveness and safety.
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In China, the use of generative AI has expanded unprecedentedly, reaching 515 million users in the first half of 2025.
The figure, released by the China Internet Network Information Centre, shows more than double the number recorded in December and represents an adoption rate of 36.5 per cent.
Such growth is driven by strong digital infrastructure and the state’s determination to make AI a central tool of national development.
The country’s ‘AI Plus’ strategy aims to integrate AI across all sectors of society and the economy. The majority of users rely on domestic platforms such as DeepSeek, Alibaba Cloud’s Qwen and ByteDance’s Doubao, as access to leading Western models remains restricted.
Young and well-educated citizens dominate the user base, underlining the government’s success in promoting AI literacy among key demographics.
Microsoft’s recent research confirms that China has the world’s largest AI market, surpassing the US in total users. While the US adoption has remained steady, China’s domestic ecosystem continues to accelerate, fuelled by policy support and public enthusiasm for generative tools.
China also leads the world in AI-related intellectual property, with over 1.5 million patent applications accounting for nearly 39 per cent of the global total.
The rapid adoption of home-grown AI technologies reflects a strategic drive for technological self-reliance and positions China at the forefront of global digital transformation.
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NVIDIA and Google Cloud are expanding their collaboration to bring advanced AI computing to a wider range of enterprise workloads.
The new Google Cloud G4 virtual machines, powered by NVIDIA RTX PRO 6000 Blackwell GPUs, are now generally available, combining high-performance computing with scalability for AI, design, and industrial applications.
An announcement that also makes NVIDIA Omniverse and Isaac Sim available on the Google Cloud Marketplace, offering enterprises new tools for digital twin development, robotics simulation, and AI-driven industrial operations.
These integrations enable customers to build realistic virtual environments, train intelligent systems, and streamline design processes.
Powered by the Blackwell architecture, the RTX PRO 6000 GPUs support next-generation AI inference and advanced graphics capabilities. Enterprises can use them to accelerate complex workloads ranging from generative and agentic AI to high-fidelity simulations.
The partnership strengthens Google Cloud’s AI infrastructure and cements NVIDIA’s role as the leading provider of end-to-end computing for enterprise transformation.
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Equity’s general secretary, Paul W Fleming, announced plans to mobilise tens of thousands of actors through subject access requests under data-protection law, compelling companies to disclose whether they have used performers’ data in AI content.
The move follows growing numbers of complaints from actors about alleged mis-use of their likenesses or voices in AI material. One prominent case involves Scottish actor Briony Monroe, who claims her facial features and mannerisms were used to create the synthetic performer ‘Tilly Norwood’. The AI-studio behind the character denies the allegations.
Equity says the strategy is intended to ‘make it so hard for tech companies and producers to not enter into collective rights’ deals. It argues that existing legislation is being circumvented as foundational AI models are trained using data from actors, but with little transparency or compensation.
The trade body Pact, representing studios and producers, acknowledges the importance of AI but counters that without accessing new tools firms may fall behind commercially. Pact complains about the lack of transparency from companies on what data is used to train AI systems.
In essence, the standoff reflects deeper tensions in the creative industries: how to balance innovation, performer rights and transparency in an era when digital likenesses and synthetic ‘actors’ are emerging rapidly.
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Under a deal with the American Federation of Teachers (AFT) in the United States, Microsoft will contribute $12.5 million over five years, OpenAI will provide $8 million plus $2 million in technical resources, and Anthropic has pledged $500,000. The AFT plans to build AI training hubs, including one in New York, and aims to train around 400,000 teachers over five years.
At a workshop in San Antonio, dozens of teachers used AI tools such as ChatGPT, Google’s Gemini and Microsoft CoPilot to generate lesson plans, podcasts and bilingual flashcards. One teacher noted how quickly AI could generate materials: ‘It can save you so much time.’
However, the initiative raises critical questions. Educators expressed concerns about being replaced by AI, while unions emphasise that teachers must lead training content and maintain control over learning. Technology companies see this as a way to expand into education, but also face scrutiny over influence and the implications for teaching practice.
As schools increasingly adopt AI tools, experts say training must go beyond technical skills to cover ethical use, student data protection and critical thinking. The reforms reflect a broader push to prepare both teachers and students for a future defined by AI.
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AI is reshaping Japanese education, from predicting truancy risks to teaching English and preserving survivor memories. Schools and universities nationwide are experimenting with systems designed to support teachers and engage students more effectively.
In Saitama’s Toda City, AI analysed attendance, health records, and bullying data to identify pupils at risk of skipping school. During a 2023 pilot, it flagged more than a thousand students and helped teachers prioritise support for those most vulnerable.
Experts praised the system’s potential but warned against excessive dependence on algorithms. Keio University’s Professor Makiko Nakamuro said educators must balance data-driven insights with privacy safeguards and human judgment. Toda City has already banned discriminatory use of AI results.
AI’s role is also expanding in language learning. Universities such as Waseda and Kyushu now use a Tokyo-developed conversation AI that assesses grammar, pronunciation, and confidence. Students say they feel more comfortable practising with a machine than in front of classmates.
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The European Commission has launched new ‘AI Antennas’ across 13 European countries to strengthen AI infrastructure. Seven EU states, including Belgium, Ireland, and Malta, will gain access to high-performance computing through the EuroHPC network.
Six non-EU partners, such as the UK and Switzerland, have also joined the initiative. Their inclusion reflects the EU’s growing cooperation on digital innovation with neighbouring countries despite Brexit and other trade tensions.
Each AI Antenna will serve as a local gateway to the bloc’s supercomputing hubs, providing technical support, training, and algorithmic resources. Countries without an AI Factory of their own can now connect remotely to major systems like Jupiter.
The Commission says the network aims to spread AI skills and research capabilities across Europe, narrowing regional gaps in digital development. However, smaller nations hosting only antennas are unlikely to house the bloc’s future ‘AI Gigafactories’, which will be up to four times more powerful.
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