EU conference highlights the need for collaboration in digital safety and growth

European politicians and experts gathered in Billund for the conference ‘Towards a Safer and More Innovative Digital Europe’, hosted by the Danish Parliament.

The discussions centred on how to protect citizens online while strengthening Europe’s technological competitiveness.

Lisbeth Bech-Nielsen, Chair of the Danish Parliament’s Digitalisation and IT Committee, stated that the event demonstrated the need for the EU to act more swiftly to harness its collective digital potential.

She emphasised that only through cooperation and shared responsibility can the EU match the pace of global digital transformation and fully benefit from its combined strengths.

The first theme addressed online safety and responsibility, focusing on the enforcement of the Digital Services Act, child protection, and the accountability of e-commerce platforms importing products from outside the EU.

Participants highlighted the importance of listening to young people and improving cross-border collaboration between regulators and industry.

The second theme examined Europe’s competitiveness in emerging technologies such as AI and quantum computing. Speakers called for more substantial investment, harmonised digital skills strategies, and better support for businesses seeking to expand within the single market.

A Billund conference emphasised that Europe’s digital future depends on striking a balance between safety, innovation, and competitiveness, which can only be achieved through joint action and long-term commitment.

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Brain-inspired networks boost AI performance and cut energy use

Researchers at the University of Surrey have developed a new method to enhance AI by imitating how the human brain connects information. The approach, called Topographical Sparse Mapping, links each artificial neuron only to nearby or related ones, replicating the brain’s efficient organisation.

According to findings published in Neurocomputing, the structure reduces redundant connections and improves performance without compromising accuracy. Senior lecturer Dr Roman Bauer said intelligent systems can now be designed to consume less energy while maintaining power.

Training large models today often requires over a million kilowatt-hours of electricity, a trend he described as unsustainable.

An advanced version, Enhanced Topographical Sparse Mapping, introduces a biologically inspired pruning process that refines neural connections during training, similar to how the brain learns.

Researchers believe that the system could contribute to more realistic neuromorphic computers, which simulate brain functions to process data more efficiently.

The Surrey team said that such a discovery may advance generative AI systems and pave the way for sustainable large-scale model training. Their work highlights how lessons from biology can shape the next generation of energy-efficient computing.

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Korea ramps up AI infrastructure with NVIDIA partnership

South Korea is accelerating its AI development through a major partnership with NVIDIA, deploying over 260,000 GPUs across government, cloud providers, and industrial leaders.

The Ministry of Science and ICT is investing in sovereign AI infrastructure, while companies including Samsung, SK Group, Hyundai, and NAVER Cloud are building AI factories and expanding GPU capacity to support physical and enterprise AI workloads.

The initiative seeks to boost innovation in manufacturing, automotive, and telecoms, supporting large-scale AI model training, validation, and deployment.

Korean organisations are developing sovereign large language models through public-private partnerships with LG AI Research, SK Telecom, NC AI, Upstage, and NVIDIA.

The infrastructure will allow startups, researchers, and enterprises to access high-performance computing for AI applications and industrial digital twins.

Korea is also advancing AI-enabled quantum computing and scientific research. The Korea Institute of Science and Technology Information (KISTI) is creating a Center of Excellence using NVIDIA supercomputers, NVQLink for quantum processors, and PhysicsNeMo for physics-based AI models.

The goal is to strengthen research collaboration, AI innovation, and economic growth. Startups gain support through NVIDIA Inception and N-Up AI programs, accessing computing infrastructure, AI tools, and investment guidance to speed growth and industrial AI adoption.

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Alliance science pact lifts US–Korea cooperation on AI, quantum, 6G, and space

The United States and South Korea agreed on a broad science and technology memorandum to deepen alliance ties and bolster Indo-Pacific stability. The non-binding pact aims to accelerate innovation while protecting critical capabilities. Both sides cast it as groundwork for a new Golden Age of Innovation.

AI sits at the centre. Plans include pro-innovation policy alignment, trusted exports across the stack, AI-ready datasets, safety standards, and enforcement of compute protection. Joint metrology and standards work links the US Center for AI Standards and Innovation with the AI Safety Institute of South Korea.

Trusted technology leadership extends beyond AI. The memorandum outlines shared research security, capacity building for universities and industry, and joint threat analysis. Telecommunications cooperation targets interoperable 6G supply chains and coordinated standards activity with industry partners.

Quantum and basic research are priority growth areas. Participants plan interoperable quantum standards, stronger institutional partnerships, and secured supply chains. Larger projects and STEM exchanges aim to widen collaboration, supported by shared roadmaps and engagement in global consortia.

Space cooperation continues across civil and exploration programmes. Strands include Artemis contributions, a Korean cubesat rideshare on Artemis II, and Commercial Lunar Payload Services. The Korea Positioning System will be developed for maximum interoperability with GPS.

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IBM unveils Digital Asset Haven for secure institutional blockchain management

IBM has introduced Digital Asset Haven, a unified platform designed for banks, corporations, and governments to securely manage and scale their digital asset operations. The platform manages the full asset lifecycle from custody to settlement while maintaining compliance.

Built with Dfns, the platform combines IBM’s security framework with Dfns’ custody technology. The Dfns platform supports 15 million wallets for 250 clients, providing multi-party authorisation, policy governance, and access to over 40 blockchains.

IBM Digital Asset Haven includes tools for identity verification, crime prevention, yield generation, and developer-friendly APIs for extra services. Security features include Multi-Party Computation, HSM-based signing, and quantum-safe cryptography to ensure compliance and resilience.

According to IBM’s Tom McPherson, the platform gives clients ‘the opportunity to enter and expand into the digital asset space backed by IBM’s level of security and reliability.’ Dfns CEO Clarisse Hagège said the partnership builds infrastructure to scale digital assets from pilots to global use.

IBM plans to roll out Digital Asset Haven via SaaS and hybrid models in late 2025, with on-premises deployment expected in 2026.

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Google Research applies AI across cancer, quantum computing and Earth science

Google Research has outlined how it tackles three major domains where foundational AI and science research are applied for tangible global effect, under a framework the team calls the ‘magic cycle’.

The three focus areas highlighted are fighting cancer with AI, quantum computing for medicines and materials, and understanding Earth at scale with Earth AI.

One of the flagship tools is DeepSomatic, an AI system developed to detect genetic variants in cancer cells that previous techniques missed. The tool partnered with a children’s hospital to identify ten new variants in childhood leukaemia samples. Significantly, DeepSomatic was applied to a brain cancer type it had never encountered before and still flagged likely causal variants.

Google Research is exploring the frontiers with its service chip (Willow) and algorithms like Quantum Echoes to simulate molecular behaviours with precision that classical computers struggle to reach. These efforts target improved medicines, better batteries and advanced materials by capturing quantum-scale phenomena.

Aiming to model complex interconnected systems, from weather and infrastructure to population vulnerability, the Earth AI initiative seeks to bring disparate geospatial data into unified systems. For example, predicting which communities are most at risk in a storm requires combining meteorological, infrastructure and socioeconomic data.

Google Research states that across these domains, research and applied work feed each other: foundational research leads to tools, which, when deployed, reveal new challenges that drive fresh research, the ‘magic cycle’.

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Japan’s G-QuAT and Fujitsu sign pact to boost quantum competitiveness

Fujitsu and AIST’s G-QuAT have signed a collaboration to lift Japan’s quantum competitiveness, aligning roadmaps, labs, and funding toward commercialisation. The pact focuses on practical outcomes: industry-ready prototypes, interoperable tooling, and clear pathways from research to deployment.

The partners will pool superconducting know-how, shared fabs and test sites, and structured talent exchanges. Common testbeds will reduce duplication, lift throughput, and speed benchmarks. Joint governance will release reference designs, track milestones, and align on global standards.

Scaling quantum requires integrated systems, not just faster qubits. Priorities include full-stack validation across cryogenics and packaging, controls, and error mitigation. Demonstrations target reproducible, large-scale superconducting processors, with results for peer review and industry pilots.

G-QuAT will act as an international hub, convening suppliers, universities, and overseas labs for co-development. Fujitsu brings product engineering, supply chain, and quality systems to translate research into deployable hardware. External partners will be invited to run comparative trials.

AIST anchors the effort with the national research capacity of Japan and a mission to bridge lab and market. Fujitsu aligns commercialization and service models to emerging standards. Near-term work packages include joint pilots and verification suites, followed by prototypes aimed at industrial adoption.

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NVIDIA AI Day Sydney showcases Australia’s growing role in global AI innovation

Australia took centre stage in the global AI landscape last week as NVIDIA AI Day Sydney gathered over a thousand participants to explore the nation’s path toward sovereign AI.

The event, held at ICC Sydney Theatre, featured discussions on agentic and physical AI, robotics and AI factories, highlighting how the next generation of computing is driving transformation across sectors.

Industry leaders, including Commonwealth Bank of Australia, Canva and emerging startups, joined NVIDIA executives to discuss how advanced computing and AI are shaping innovation.

Brendan Hopper of the Commonwealth Bank praised NVIDIA’s role in expanding Australia’s AI ecosystem through infrastructure, partnerships and education.

Speakers such as Giuseppe Barca of QDX Technologies emphasised how AI, high-performance computing and quantum research are redefining scientific progress.

With over 600 NVIDIA Inception startups and more than 20 universities using NVIDIA technologies, Australia’s AI ecosystem is expanding rapidly. Partners like Firmus Technologies, ResetData and SHARON AI underscored how AI Day Sydney demonstrated the nation’s readiness to become a regional AI hub.

The event also hosted Australia’s first ‘Startup, VC and Partner Connect’, linking entrepreneurs, investors and government officials to accelerate collaboration.

Presentations from quantum and healthcare innovators, alongside hands-on NVIDIA Deep Learning Institute sessions, showcased real-world AI applications from generative design to medical transcription.

NVIDIA’s Sudarshan Ramachandran said Australia’s combination of high-performance computing heritage, visual effects expertise and emerging robotics sector positions it to lead in the AI era.

Through collaboration and infrastructure investment, he said, the country is building a thriving ecosystem that supports discovery, sustainability and economic growth.

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Oxford scientists achieve quantum teleportation milestone

Scientists at the University of Oxford have achieved quantum teleportation between two quantum computers, marking a major step toward distributed quantum computing. The experiment successfully transmitted a quantum algorithm wirelessly between processors using quantum entanglement.

Rather than moving physical matter, the process transferred data instantaneously by linking qubits, the basic units of quantum information. The two computers, though separated by two metres, shared data as if operating as one, greatly enhancing their combined computing power.

The British breakthrough demonstrates how multiple quantum systems could one day work together as a single global supercomputer. Researchers say the approach could enable quantum networks and lay the groundwork for a future quantum internet capable of unprecedented speeds and security.

Quantum teleportation works by using pairs of entangled particles that remain connected across any distance. While humans and objects cannot yet teleport, the technology could soon allow scientists to connect remote machines into unified, ultra-powerful computing systems.

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Tariffs and AI top the agenda for US CEOs over the next three years

US CEOs prioritise cost reduction and AI integration amid global economic uncertainty. According to KPMG’s 2025 CEO Outlook, leaders are reshaping supply chains while preparing for rapid AI transformation over the next three years.

Tariffs are a key factor influencing business strategies, with 89% of US CEOs expecting significant operational impacts. Many are adjusting sourcing models, while 86% say they will increase prices where needed. Supply chain resilience remains the top short-term pressure for decision-making.

AI agents are seen as major game-changers. 84% of CEOs expect a native AI company to become a leading industry player within 3 years, displacing incumbents. Companies are accelerating investment returns, with most expecting payoffs within one to three years.

Cybersecurity is a significant concern alongside AI integration. Forty-six percent have increased spending on digital risk resilience, focusing on fraud prevention and data privacy. CEOs recognise that AI and quantum computing introduce both opportunities and new vulnerabilities.

Workforce transformation is a clear priority. Eighty-six percent plan to embed AI agents into teams next year, while 73% focus on retaining and retraining high-potential talent. Upskilling, governance, and organisational redesign are emerging as essential strategies.

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