How cultural heritage can go green through digital preservation

A Europe-wide survey has exposed how cultural heritage institutions (CHIs) protect humanity’s legacy digitally while unintentionally harming the environment.

Instead of focusing only on efficiency, the Europeana Climate Action Community recommends a shift towards environmentally sustainable and regenerative digital preservation.

Led by the Environmental Sustainability Practice Task Force, the survey collected input from 108 organisations across 24 EU countries. While 80% of CHIs recognise environmental responsibility, just 42% follow formal environmental strategies and a mere 14% measure carbon footprints.

Many maintain redundant data backups without assessing the ecological cost, and most lack policies for retiring digital assets responsibly.

The report suggests CHIs develop community-powered archives, adopt hardware recycling and repair, and prioritise sufficiency instead of maximising digital volume. Interviews with institutions such as the National Library of Finland and the POLIN Museum revealed good practices alongside common challenges.

With digital preservation increasingly essential, the Europeana Initiative calls for immediate action. By moving from isolated efficiency efforts to collective regeneration strategies, CHIs can protect cultural memory while reducing environmental impact for future generations.

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Generative AI now powers 20% of new Steam games

Nearly 20 percent of video games released on Steam in 2025 include generative AI, according to a new report by Totally Human Media.

The report, based on data gathered from Steam, states that around 7,818 games currently disclose using generative AI. The figure represents roughly 7 percent of the platform’s entire catalogue. For games launched in 2025, nearly one in five incorporate AI tools or openly disclose doing so.

Compared to 2024, this marks a nearly 700 percent increase in generative AI adoption, reflecting a broader industry trend towards automation and machine-generated content.

Among the most prominent titles is My Summer Car, a vehicle simulation game with over 2.5 million copies sold. The developers disclosed that the game includes ‘some AI generated paintings found inside the main house’.

Valve, the company behind Steam, began requiring game developers to disclose AI use in January 2024. While the company did not comment on the findings, the policy has enabled public tracking of AI adoption across the platform.

Community reaction to the trend has been mixed. On Reddit, many users said they would automatically add AI-driven games to their ignore lists. One commenter wrote, ‘We need to tag them so they can be an ignored category.’ Others expressed disappointment in indie developers turning to generative tools over human artists.

Some users acknowledged the complexity of the issue. A typical comment noted that while AI usage in minor elements like UI assets might be acceptable, reliance on AI for core content raises questions about value and originality. One post read, ‘What am I paying for if it’s all AI? I agree with that sentiment.’

Steam’s Next Fest, which showcases upcoming releases, drew criticism from some players who said they lost interest in promising titles upon discovering their use of generative AI.

Despite user backlash, industry momentum continues to build. Many developers see AI as a means to streamline asset creation and reduce production costs, though concerns about quality, ethics, and employment remain central to the debate.

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Google expands AI tools in Search with new subscriber perks

Google has begun rolling out new AI features in Search, introducing AI-powered phone calling to help users gather business information instead of contacting places manually.

The service, free for everyone in the US, allows people to search for businesses and have Google’s AI check pricing and availability on their behalf.

Subscribers to Google AI Pro and AI Ultra receive additional exclusive capabilities. These include access to Gemini 2.5 Pro, Google’s most advanced AI model, which supports complex queries such as coding or financial analysis.

Users can enable Gemini 2.5 Pro through the AI Mode tab instead of relying on the default model. Google is also launching Deep Research tools through Deep Search for in-depth investigations related to work, studies, or major life decisions.

Rather than rolling everything out all at once, Google is phasing in the features gradually. AI-powered calling is now available to all Search users in the US, while Gemini 2.5 Pro and Deep Research are becoming available specifically to AI Pro and AI Ultra subscribers.

With these updates, Google aims to position Search as more than a simple information tool by transforming it into an active digital assistant capable of handling everyday tasks and complex research instead of merely providing quick answers.

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South Korea’s new Science Minister pledges AI-led national transformation

South Korea’s new Science and ICT Minister, Bae Kyung-hoon, has pledged to turn the nation into one of the world’s top three AI powerhouses.

Instead of following outdated methods, Bae outlined a bold national strategy centred on AI, science and technology, aiming to raise Korea’s potential growth rate to 3 per cent and secure a global economic leadership position.

Bae, a leading AI expert and former president of LG AI Research, officially assumed office on Thursday.

Drawing from experience developing hyperscale AI models like LG’s Exaone, he emphasised the need to build a unique competitive advantage rooted in AI transformation, talent development and technological innovation.

Rather than focusing only on industrial growth, Bae’s policy agenda targets a broad AI ecosystem, revitalised research and development, world-class talent nurturing, and addressing issues affecting daily life.

His plans include establishing AI-centred universities, enhancing digital infrastructure, promoting AI semiconductors, restoring grassroots research funding, and expanding consumer rights in telecommunications.

With these strategies, Bae aims to make AI accessible to all citizens instead of limiting it to large corporations or research institutes. His vision is for South Korea to lead in AI development while supporting social equity, cybersecurity, and nationwide innovation.

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EU confirms AI Act rollout and releases GPAI Code of Practice

The European Commission has confirmed it will move forward with the EU AI Act exactly as scheduled, instead of granting delays requested by tech giants and businesses.

On 10 July 2025, it published the final General-Purpose AI (GPAI) Code of Practice alongside FAQs to guide organisations aiming to comply with the new law.

Rather than opting for a more flexible timetable, the Commission is standing firm on its regulatory goals. The GPAI Code of Practice, now in its final form, sets out voluntary but strongly recommended steps for companies that want reduced administrative burdens and clearer legal certainty under the AI Act.

The document covers transparency, copyright, and safety standards for advanced AI models, including a model documentation form for providers.

Key dates have already been set. From 2 August 2025, rules covering notifications, governance, and penalties will come into force. By February 2026, official guidelines on classifying high-risk AI systems are expected.

The remaining parts of the legislation will take effect by August 2026, instead of being postponed further.

With the publication of the GPAI Code of Practice, the EU takes another step towards building a unified ethical framework for AI development and deployment across Europe, focusing on transparency, accountability, and respect for fundamental rights.

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Thailand to advance policies to boost space industry and satellite services

Thailand’s Digital Economy Ministry is advancing several key policies to boost the country’s space industry and satellite services. The draft Landing Rights policy, approved by the National Space Policy Committee and pending Cabinet approval, will allow foreign satellite operators to provide services within Thailand while ensuring fair competition with domestic providers.

Alongside this, the committee approved the updated National Space Master Plan, reflecting recommendations from national development councils. These policies form part of the broader National Satellite Policy Framework, which addresses policy, legal and regulatory development, international collaboration, and space infrastructure to support the growing space sector.

The government is focused on using space technology and satellite data to improve areas like disaster management, agriculture, and resource governance. Thailand is also enhancing international cooperation by planning to sign the Artemis Accords, working with China on lunar research, and developing space traffic management policies to strengthen its global role.

To support these goals, Thailand is investing in digital infrastructure to expand space activities, ensure inclusive access, reduce inequality, and boost economic and social security.

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Broadcom challenges Nvidia with Tomahawk Ultra AI networking chip

Broadcom has introduced a new networking chip designed to boost AI data centre performance, positioning itself against Nvidia in the AI hardware race.

Called Tomahawk Ultra, the chip helps link hundreds of processors within close range, ensuring fast communication vital for large AI models.

Instead of using Nvidia’s proprietary NVLink system, Broadcom’s Tomahawk Ultra operates on an accelerated version of Ethernet and connects up to four times more chips within a server rack.

The chip acts as a traffic controller, enabling what the industry refers to as ‘scale-up’ computing — where AI models tap into combined computing power from tightly grouped chips.

According to Broadcom senior vice president Ram Velaga, it took engineers around three years to design the Tomahawk Ultra, which was originally aimed at high-performance computing but adapted for AI workloads as demand surged.

Taiwan Semiconductor Manufacturing Company (TSMC) is producing the processors using its five-nanometre process, and the chips are already shipping to customers.

Rather than requiring major hardware overhauls, the Tomahawk Ultra offers a scalable, Ethernet-based alternative for AI firms looking to build faster, more flexible data centres.

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Tech giants work to avert an AI‑driven energy crisis

The AI boom is triggering alarms in the energy sector, with data centres expected to consume 3% of the world’s electricity by 2030, double today’s share. This projection has spurred tech firms to pursue aggressive efficiency strategies.

Control systems powered by AI regulate cooling more precisely, while liquid cooling systems replace inefficient air-based approaches. Cutting-edge chips and more innovative software have already yielded energy savings of 20–30% per workflow.

Infrastructure improvements mean data-centre support systems now consume just 10% of the energy that powering the servers does. Despite these advances, the total energy demand continues to rise, prompting investments in technology upgrades and low-carbon power sources.

A global race is underway as US and Chinese companies push for increasingly efficient AI chips. Still, experts warn that overall consumption will grow, so efficiency alone won’t be enough. Broad energy planning and sustainable strategies are critical to avoid a looming power crunch as AI proliferates.

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South Korean firm unveils faster AI data centre architecture with CXL-over-Xlink

South Korean company Panmnesia has introduced a new architecture for AI data centres aimed at improving speed and efficiency.

Instead of using only PCIe or RDMA-based systems, its CXL-over-Xlink approach combines Compute Express Link (CXL) with fast accelerator links such as UALink and NVLink.

The company claims this design can deliver up to 5.3 times faster AI training and reduce inference latency sixfold. By allowing CPUs and GPUs to access large shared memory pools via the CXL fabric, AI workloads are no longer restricted by the fixed memory limits inside each GPU.

It will enable data centres to scale compute and memory independently, adapting to changing workload demands without hardware overprovisioning.

Panmnesia’s system also reduces communication overhead using accelerator-optimised links for CXL traffic, helping maintain high throughput with sub-100ns latency.

The architecture incorporates a hierarchical memory model blending local high-bandwidth memory with pooled CXL memory, alongside scalable CXL 3.1 switches that connect hundreds of devices efficiently without bottlenecks.

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Europe’s quantum ambitions meet US private power and China’s state drive

Quantum computing could fundamentally reshape technology, using quantum bits (qubits) instead of classical bits. Qubits allow complex calculations beyond classical computing, transforming sectors from pharmaceuticals to defence.

Europe is investing billions in quantum technology, emphasising technological sovereignty. Yet, it competes fiercely with the United States, which enjoys substantial private investment, and China, powered by significant state-backed funding.

The UK began quantum initiatives early, launching the National Quantum Programme 2014. It recently pledged £2.5 billion more, supporting start-ups like Orca Computing and Universal Quantum, alongside nations like Canada, Israel, and Japan.

Europe accounted for eight of the nineteen quantum start-ups established globally in 2024, including IQM Quantum Computers and Pasqal. Despite Europe’s scientific strengths, it only captured 5% of global quantum investments, versus 50% for the US.

The European Commission aims to strengthen quantum capabilities by funding six chip factories and a continent-wide Quantum Skills Academy. However, attracting sufficient private investment remains a significant challenge.

The US quantum industry thrives, driven by giants such as IBM, Google, Microsoft, IonQ, Rigetti, and D-Wave Quantum. Recent breakthroughs include Microsoft’s topological qubit and Google’s Willow quantum chip.

D-Wave Quantum has demonstrated real-world quantum advantages, solving complex optimisation problems in minutes. Its technology is now used commercially in logistics, traffic management, and supply chains.

China, meanwhile, leads in state-driven quantum funding, investing $15 billion directly and managing a $138 billion tech venture fund. By contrast, US federal investment totals about $6 billion, underscoring China’s aggressive approach.

Global investment in quantum start-ups reached $1.25 billion in Q1 2025 alone, reflecting a shift towards practical applications. By 2040, the quantum market is projected to reach $173 billion, influencing global economics and geopolitics.

Quantum computing raises geopolitical concerns, prompting democratic nations to coordinate through bodies like the OECD and G7. Interoperability, trust, and secure infrastructure have become essential strategic considerations.

Europe’s quantum ambitions require sustained investment, standard-setting leadership, and robust supply chains. Its long-term technological independence hinges on moving swiftly beyond initial funding towards genuine strategic autonomy.

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