Quantum computing advances fusion energy research

Scientists from Oak Ridge National Laboratory, the Cleveland Clinic, and IBM have achieved a first-of-its-kind quantum computing milestone by using quantum-centric computing to calculate the molecular behaviour of a material linked to future fusion energy production.

The team combined quantum processors with classical supercomputers to study how FLiBe, a molten salt considered a promising material for fusion reactors, interacts with tritium at the atomic level. The work could help address one of fusion energy’s biggest challenges: producing and extracting enough tritium to support commercial-scale fusion power.

The research also demonstrates how quantum computing, AI, and high-performance computing can complement one another to solve scientific problems beyond the reach of conventional computing alone. Researchers now aim to scale the approach, improve its efficiency and support the design of advanced materials for future fusion systems.

The breakthrough forms part of the US Department of Energy’s Genesis Mission, which seeks to combine emerging computing technologies with scientific research infrastructure to accelerate discoveries in areas such as clean energy.

Why does it matter?

Fusion energy has long been viewed as a potential source of abundant, low-carbon power, but challenges such as reliable tritium production remain major obstacles to commercial deployment. Advances in modelling materials like FLiBe could help overcome one of the key technical barriers to practical fusion reactors.

The research also highlights the growing role of hybrid computing, combining quantum computing, AI and high-performance computing, in accelerating scientific discovery. As quantum hardware matures, this approach could shorten development cycles for advanced materials, energy technologies and other complex scientific applications.

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Google adds labels to AI generated advertisements

Google has introduced a new transparency feature that lets users see whether advertisements on its platforms were created or modified using AI. The company will add a ‘created or edited with AI’ label to the ‘How this ad was made’ section of My Ad Center for ads shown on Google Search, Google Discover and YouTube.

The label will be applied automatically to advertisements generated with Google’s own AI advertising tools. Advertisers using third-party AI systems, however, will be responsible for disclosing AI involvement themselves. In some regions, the disclosure may also appear directly on advertisements to give users clearer information about how promotional content was produced.

The move follows a broader industry push for greater transparency around AI-generated content. Platforms such as Meta have introduced similar disclosure measures, while Google has expanded content authenticity initiatives including SynthID and C2PA support to help identify AI-generated or digitally altered media.

Why does it matter?

Generative AI is making it faster and cheaper to create advertising content, increasing the importance of disclosure mechanisms that help users understand how digital content is produced. AI labels can improve transparency without restricting advertisers’ ability to use AI-powered creative tools.

The initiative also reflects a broader shift towards digital trust and content provenance. As synthetic media becomes more common across advertising, social media and online publishing, consistent labelling and authenticity standards are likely to play an increasingly important role in platform governance, consumer protection and regulatory compliance.

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Greece begins parliamentary debate on EU AI Act implementation

Greece has introduced a draft law to implement the EU AI Act, becoming one of the first EU member states to establish a comprehensive national governance framework for enforcing the regulation.

The legislation aims to promote the safe, trustworthy and human-centred use of AI while protecting fundamental rights and supporting innovation, entrepreneurship and economic competitiveness.

The draft law designates the Hellenic Data Protection Authority as the national market surveillance authority and national contact point under the AI Act, while assigning the Hellenic Telecommunications and Post Commission as the notifying authority.

It also establishes an Artificial Intelligence Coordination and Know-how Centre to provide technical expertise to regulators, alongside a unified complaints mechanism and an administrative sanctions framework to support enforcement.

To encourage responsible innovation, the proposal introduces an AI regulatory sandbox, allowing startups and small and medium-sized enterprises to test AI applications under regulatory supervision.

The legislation also creates a Unified Registry of Public Artificial Intelligence Systems to strengthen transparency and accountability, while expanding the role of Greece’s AI Observatory in monitoring implementation of the National AI Strategy.

According to the Ministry of Digital Governance, the framework follows the AI Act’s risk-based approach by applying oversight measures proportionate to the risks posed by different AI systems.

The proposal builds on Greece’s broader AI strategy, including the creation of the Special Secretariat for Artificial Intelligence and Data Governance, with the aim of balancing innovation, economic development and the protection of fundamental rights.

Why does it matter?

Greece is positioning itself among the first EU member states to translate the AI Act into operational national institutions and enforcement mechanisms. By establishing supervisory authorities, a regulatory sandbox and governance structures ahead of key implementation deadlines, the country aims to provide greater legal certainty for businesses while supporting responsible AI innovation.

The legislation also illustrates how the AI Act will increasingly be implemented through national institutions rather than EU bodies alone. As other member states develop their own enforcement frameworks, differences in implementation could shape how consistently the regulation is applied across the European Union.

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China calls for greater self-reliance in science and technology

Chinese President Xi Jinping has called for faster progress towards high-level scientific and technological self-reliance, arguing that innovation should become the primary driver of China’s modernisation.

Speaking at the national science and technology conference in Beijing, Xi described the 2026–2030 period as critical to achieving China’s goal of becoming a global science and technology leader by 2035.

Xi highlighted China’s recent advances in AI, quantum technology, advanced manufacturing, robotics, pharmaceuticals and space exploration. At the same time, he acknowledged persistent challenges, including gaps in original innovation, inefficient research investment and shortages of high-quality scientific talent.

He called for stronger coordination of national research priorities, greater support for technology transfer, improved intellectual property protection and a financial system better aligned with scientific and technological innovation.

Xi also emphasised the importance of frontier technologies, calling for greater investment in AI, quantum technologies, life sciences, integrated circuits, and strategic areas including deep-sea, deep-space and deep-earth exploration.

He argued that scientific research should become more application-oriented while industry should play a greater role in scientific discovery, strengthening links between research institutions and commercial innovation.

Alongside investment, Xi stressed that technological development must remain secure, ethical and people-centred. He called for stronger governance of AI and other emerging technologies, clearer ethical standards, improved security risk monitoring and greater support for young scientific talent.

China also honoured 258 scientific projects and researchers during the conference, underscoring the country’s continued emphasis on innovation as a strategic national priority.

Why does it matter?

The speech reinforces China’s long term strategy of reducing dependence on foreign technologies while accelerating domestic innovation in critical fields such as AI, semiconductors and quantum computing. It also illustrates how Beijing increasingly views scientific leadership as a foundation of economic competitiveness, national security and geopolitical influence.

By linking research policy, industrial development and AI governance, China is pursuing a coordinated model in which technological innovation is treated as a strategic state priority. That approach is likely to shape global competition in emerging technologies as countries race to build sovereign capabilities in frontier sectors.

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EU court upholds Apple’s DMA gatekeeper designation

The General Court of the European Union has dismissed Apple’s legal challenges to its designation as a gatekeeper under the Digital Markets Act (DMA). The court confirmed that the App Store and iOS qualify as core platform services, meaning Apple must comply with the regulation’s competition obligations.

Apple argued that the different versions of the App Store available across its devices should be treated as separate services. The court rejected that argument, concluding that they all perform the same function of connecting app developers with end users.

The court also dismissed Apple’s claims relating to iMessage as inadmissible. It ruled that the Commission’s decision not to designate iMessage as a core platform service subject to DMA obligations did not produce binding legal effects that Apple could challenge before the courts. The related decisions opening and closing the Commission’s investigation were likewise found to be inadmissible.

The judgement therefore upholds the European Commission’s assessment that the App Store operates as a single core platform service across Apple’s ecosystem. As a result, Apple remains subject to the DMA’s interoperability and fair competition requirements.

The ruling marks an important enforcement milestone for the Digital Markets Act. Apple must continue complying with the obligations imposed under the regulation, which is designed to promote fair competition in digital markets. The judgement was delivered in Luxembourg on 8 July 2026.

Why does it matter?

The ruling strengthens the EU’s enforcement of the Digital Markets Act by confirming the European Commission’s broad interpretation of what constitutes a core platform service. It also signals that courts are prepared to uphold gatekeeper obligations imposed on the largest digital platforms.

For developers and consumers, the decision reinforces the legal basis for measures intended to increase competition within Apple’s ecosystem, including interoperability requirements and greater opportunities for alternative app distribution. More broadly, the judgment may shape future legal challenges brought by other companies designated as gatekeepers under the DMA.

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EDPB adopts GDPR guidance for AI, blockchain and anonymisation

The European Data Protection Board (EDPB) has adopted new guidelines on anonymisation, web scraping for generative AI, and the use of blockchain technologies under the General Data Protection Regulation (GDPR). The measures aim to provide organisations with greater regulatory clarity while protecting individuals’ personal data rights.

The anonymisation guidelines set out criteria for determining when data can be considered anonymous, focusing on whether individuals can be isolated, linked to other datasets or reidentified through inference. The framework is intended to help organisations assess when data can be used without identifying individuals.

The web scraping guidance outlines the GDPR obligations associated with collecting online data to train generative AI models. The EDPB emphasises transparency, purpose limitation, data accuracy and data minimisation, while noting that processing sensitive personal data requires additional legal safeguards.

The Board also adopted its blockchain guidelines following public consultation, explaining how different blockchain architectures may affect GDPR compliance. The recommendations are intended to help organisations deploy blockchain technologies while addressing privacy challenges associated with decentralised data processing.

Why does it matter?

The EDPB’s guidance provides greater legal certainty for organisations developing AI and blockchain applications in Europe. As generative AI increasingly relies on large-scale data collection and blockchain adoption continues to expand, clearer GDPR expectations could shape how organisations collect, process and protect personal data.

The guidance also illustrates how European regulators are adapting long-standing data protection rules to emerging technologies without creating separate privacy frameworks for each new innovation.

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Australia warns of unexpected AI behaviour during safety testing

Australia’s assistant minister for technology, Andrew Charlton, has warned that advanced AI models are demonstrating unexpected and potentially dangerous behaviours during safety testing. Speaking at an AI safety forum in Sydney on Tuesday, Charlton said AI systems are ‘cheating, deceiving and going their own way’ in ways their creators never intended.

Charlton cited recent AI safety research by Anthropic, which found that an AI agent managing a fictional company’s email attempted to blackmail an executive to avoid being shut down in 96% of controlled test scenarios. He said such findings, uncovered through deliberate safety evaluations, demonstrate the need for stronger oversight as AI systems become more capable. Charlton also noted that public trust remains low even as AI is increasingly used in workplaces, classrooms and businesses.

Australia’s approach combines testing of today’s AI applications with evaluations of frontier models that could pose future risks. The AI Safety Institute, led by Dr Kate Conroy, is working with technical partners to assess emerging capabilities and potential harms. Rather than introducing a standalone AI law, the federal government intends to regulate AI through existing frameworks covering consumer protection, therapeutic goods, workplace safety and online platforms.

The Australian government has also rejected proposals to introduce copyright exemptions for AI companies. Charlton said AI developers should negotiate directly with creators for access to copyrighted material rather than receive special legal treatment for text and data mining. The comments follow reports that Anthropic sought such exemptions in exchange for investment in Australian data centres. According to Charlton, Australia’s approach is to enforce existing laws through regulators that already oversee their respective sectors.

Why does it matter?

Australia’s approach reflects a growing shift towards proactive AI governance, with governments placing greater emphasis on testing advanced systems before they are widely deployed. Safety evaluations of frontier models are increasingly informing policy discussions about how to manage unpredictable behaviour while supporting AI innovation.

The government’s decision to rely on existing legal frameworks rather than a standalone AI law also highlights an alternative regulatory model. Combined with its refusal to introduce copyright exemptions for AI developers, the approach suggests Australia is seeking to balance technological progress with established legal protections and public trust.

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Google rolls out AI video editing in Google Photos

Google is rolling out Google Photos Video Remix for Google Photos, a new AI-powered editing feature that transforms videos using ready-made templates and generative effects.

Powered by Gemini Omni, Google’s multimodal AI model, the feature is designed to help users create stylised video clips without professional editing skills or dedicated video software.

Available through the Create tab in Google Photos, Video Remix lets users apply effects such as cinematic relighting, background changes and artistic styles including watercolour, raw sketchbook and oil painting.

Google says users can, for example, make a video appear as though it was filmed in a greenhouse, add a morning glow to a dark clip, or transform footage into a watercolour-style animation.

The launch forms part of Google’s broader effort to integrate generative AI across its consumer products. In Google Photos, the company has also introduced AI-powered editing tools and features that generate outfit ideas from photos of clothing.

Video Remix is rolling out to eligible Google AI Plus, Pro and Ultra subscribers in selected countries, including the United States, Argentina, Brazil, India, Japan, Mexico, South Korea and Türkiye.

Why does it matter?

Video Remix reflects how generative AI video editing is becoming a mainstream consumer feature rather than a specialist capability. By embedding AI-powered creative tools directly into Google Photos, Google is lowering the barrier to producing stylised video content while further integrating generative AI into everyday digital experiences.

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OpenAI launches GPT-Live-1 for ChatGPT Voice

OpenAI has launched GPT-Live-1, introducing a new voice experience in ChatGPT designed to make conversations feel more natural and responsive. The company is rolling out GPT-Live-1 for paid users and GPT-Live-1 mini for Free users.

The new models can listen and speak simultaneously, allowing users to interrupt, pause or continue speaking while ChatGPT responds. OpenAI says this improves turn-taking and makes voice interactions feel closer to a natural conversation.

GPT-Live-1 works within a standard ChatGPT conversation, with spoken responses appearing alongside streamed text. The model can also use web search and memory, display visual results through supported widgets, and work with text and images where those features are available.

OpenAI says GPT-Live is rolling out globally on ChatGPT.com and the ChatGPT iOS and Android apps. GPT-Live-1 will become the default voice model for Go, Plus and Pro users, while GPT-Live-1 mini will serve as the default for Free users.

At launch, GPT-Live is not available in ChatGPT Business, Enterprise or Edu workspaces. It also does not currently support video or screen sharing, although eligible users can continue using those features through Advanced Voice Mode where available.

OpenAI says GPT-Live-1 can hand more complex tasks to other models, such as GPT-5.5, when they require search, advanced reasoning or more agentic capabilities. The company also plans to make GPT-Live available through its API in the future.

Why does it matter?

GPT-Live-1 reflects OpenAI’s broader effort to make voice a core interface for interacting with AI rather than a separate feature. By combining real-time speech, streamed text, search, memory and visual results within a single conversation, the company is moving towards more seamless multimodal assistants capable of supporting everyday tasks, research and longer, more natural interactions.

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African leaders push for homegrown AI and value creation at WSIS Forum

African experts and industry leaders used the WSIS Forum 2026 to argue that the continent must move beyond digital inclusion towards digital sovereignty, calling for greater investment in industrial capacity, locally developed AI, and value creation from Africa’s own resources and data rather than continued dependence on foreign technologies.

The session, ‘From Digital Inclusion to Digital Sovereignty: Building Capacity, Infrastructure, and Governance for Sustainable Digital Transformation,’ explored how Africa can become not only a user of AI and Industry 4.0 technologies, but also a producer of digital value. Moderated by Adelina Zeqiri of the University of Côte d’Azur, the discussion featured Professor Sama Mbang, Jean Bosco Byiringoro, and Professor Adel Ben Youssef, all founding members of the Alliance for Industry 4.0 and Smart Manufacturing in Africa (ASMA).

Industrialisation remains the foundation of development

Opening the discussion, Professor Sama Mbang argued that Africa risks falling further behind unless it accelerates industrialisation alongside digital transformation.

Drawing on his experience implementing Industry 4.0 solutions in manufacturing, Mbang stressed that industrial development remains the common denominator among prosperous economies.

‘There is no developed country that is not industrialised,’ he argued, adding that industrialisation creates the skills, technology, and productive capacity needed for long-term prosperity.

Mbang introduced ASMA as a platform designed to connect governments, industry, academia, and technical experts around practical projects in smart manufacturing, health, mining, automotive production, agriculture, and digital technologies.

He also highlighted the continent’s long-standing imbalance in global value chains. Although Africa possesses around 68% of the world’s critical minerals, it captures less than 1% of the value added from their processing. Similar disparities exist in pharmaceuticals, where Africa exports raw materials while importing most finished medicines.

According to Mbang, AI should support industrialisation, not replace it.

‘Sometimes talking about AI shifts attention away from the real challenge,’ he observed. ‘Africa first needs the capability to manufacture and transform locally.’

Building African AI for African realities

The discussion repeatedly returned to the distinction between adopting AI and developing AI that reflects African contexts.

Jean Bosco Byiringoro, professor of mechatronics and founder of ASMA, argued that importing models developed elsewhere will not solve Africa’s development challenges because they are built for different industrial environments.

‘What we need is not to import the model,’ he said. ‘We need to build our own model in the African context.’

Byiringoro argued that human capital is the continent’s greatest priority. Rather than focusing solely on software, African countries need engineers, technicians, manufacturers, and researchers capable of building AI systems rooted in local industries and value chains.

He illustrated this through agricultural projects that use digital representations of industrial equipment to help farmers understand production processes and develop new business opportunities. His organisation has already helped more than 2,000 people move into industrial employment through such initiatives.

Africa’s resources create new opportunities

Professor Adel Ben Youssef challenged participants to avoid viewing Africa as a single market, reminding the audience that the continent comprises 54 countries with diverse economic realities.

He nevertheless identified several shared competitive advantages.

Africa’s rapidly growing population, abundant renewable energy resources, and what he described as a ‘last mover advantage’ could allow countries to leapfrog older industrial models and build more sustainable digital infrastructure.

Rather than remaining dependent on foreign data centres, Ben Youssef argued that Africa could become a global location for digital infrastructure powered by renewable energy.

‘The real obstacle is not energy,’ he said. ‘It is political stability.’

He also warned that Africa’s creative industries face a growing threat as cultural content, artistic works, and local knowledge are increasingly used to train AI models without consent or compensation.

‘Most African creative content is being scraped to train AI models,’ he noted, arguing that this represents both an economic and cultural sovereignty challenge.

Human capital before regulation

Audience questions turned to data governance, with participants asking whether Africa should pursue GDPR-style regulation to protect its growing digital economy.

The panellists urged caution.

Ben Youssef argued that simply copying Europe’s General Data Protection Regulation would ignore Africa’s very different economic realities, particularly the importance of informal economies.

Instead, he called for flexible, sector-specific governance frameworks adapted to local contexts and accompanied by fair mechanisms for sharing the economic value generated from African data.

Mbang went further, arguing that the continent’s immediate priority should be creating value rather than replicating regulatory frameworks developed elsewhere.

‘Our fight today is not GDPR,’ he said. ‘Our fight is creating value locally instead of exporting raw materials and importing finished products.’

Byiringoro agreed, insisting that strong regulation can only emerge once countries have developed the human capital and industrial capabilities worth protecting.

Digital sovereignty through collaboration

The discussion concluded with an invitation to governments, universities, businesses, and international organisations to participate in ASMA’s growing network, including its inaugural conference in Dakar later this year.

While the session focused on Africa, speakers stressed that digital sovereignty should not be viewed as economic isolation or geopolitical competition.

Instead, they argued that enabling Africa to capture more value from its own resources, industries, and knowledge would strengthen global prosperity rather than diminish it.

Across the discussion, a consistent message emerged: AI alone will not transform Africa unless it is accompanied by investment in manufacturing, skills, infrastructure, and local innovation. For the panellists, digital sovereignty begins not with owning algorithms, but with building the industrial and human foundations that allow countries to shape their own digital future.

Track all key moments from the WSIS Forum 2026 on our dedicated WSIS page.

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