Development

Google Quantum AI selected for DARPA quantum benchmarking initiative

Google Quantum AI has been selected by the US Defence Advanced Research Projects Agency (DARPA) to participate in the Quantum Benchmarking Initiative (QBI). QBI is designed to assess quantum computing approaches and judge whether utility-scale, fault-tolerant quantum computers could be developed by 2033.

The selection means Google will work with DARPA’s technical experts, who will be independent validators for its quantum computing roadmap. The evaluation aims to provide rigorous third-party benchmarking, a critical capability for the broader quantum industry.

DARPA’s QBI is not only about validation. It aims to compare different quantum technologies, superconducting qubits, photonic systems, trapped ions and other modalities under shared metrics.

Google’s involvement underscores its ongoing mission to build quantum infrastructure capable of addressing problems such as new medicine design, energy innovation and machine-learning optimisation.

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Ukraine urges ethical use of AI in education

AI can help build individual learning paths for Ukraine’s 3.5 million students, but its use must remain ethical, First Deputy Minister of Education and Science Yevhen Kudriavets has said.

Speaking to UNN, Kudriavets stressed that AI can analyse large volumes of information and help students acquire the knowledge they need more efficiently. He said AI could construct individual learning trajectories faster than teachers working manually.

He warned, however, that AI should not replace the educational process and that safeguards must be found to prevent misuse.

Kudriavets also said students in Ukraine should understand the reasons behind using AI, adding that it should be used to achieve knowledge rather than to obtain grades.

The deputy minister emphasised that technology itself is neutral, and how people choose to apply it determines whether it benefits education.

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YouTube expands AI dubbing to millions of creators

Real-time translation is becoming a standard feature across consumer tech, with Samsung, Google, and Apple all introducing new tools. Apple’s recently announced Live Translation on AirPods demonstrates the utility of such features, particularly for travellers.

YouTube has joined the trend, expanding its multi-language audio feature to millions of creators worldwide. The tool enables creators to add dubbed audio tracks in multiple languages, powered by Google’s Gemini AI, replicating tone and emotion.

The feature was first tested with creators like MrBeast, Mark Rober, and Jamie Oliver. YouTube reports that Jamie Oliver’s channel saw its views triple, while over 25% of the watch time came from non-primary languages.

Mark Rober’s channel now supports more than 30 languages per video, helping creators reach audiences far beyond their native markets. YouTube states that this expansion should make content more accessible to global viewers and increase overall engagement.

Subtitles will still be vital for people with hearing difficulties, but AI-powered dubbing could reduce reliance on them for language translation. For creators, it marks a significant step towards making content truly global.

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NATO and Seoul expand cybersecurity dialogue and defence ties

South Korea and NATO have pledged closer cooperation on cybersecurity following high-level talks in Seoul this week, according to Yonhap News Agency.

The discussions, led by Ambassador for International Cyber Affairs Lee Tae Woo and NATO Assistant Secretary General Jean-Charles Ellermann-Kingombe, focused on countering cyber threats and assessing risks in the Indo-Pacific and Euro-Atlantic regions.

Launched in 2023, the high-level cyber dialogue aims to deepen collaboration between South Korea and NATO in the cybersecurity domain.

The meeting followed talks between Defence Minister Ahn Gyu-back and NATO Military Committee chair Giuseppe Cavo Dragone during the Seoul Defence Dialogue earlier this week.

Dragone said cooperation would expand across defence exchanges, information sharing, cyberspace, space, and AI as ties between Seoul and NATO strengthen.

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New AI and digital ministry in Kazakhstan to drive national transformation

Kazakhstan is stepping up its digital ambitions with President Kassym-Jomart Tokayev announcing the creation of a Ministry of Artificial Intelligence and Digital Development. Speaking during his annual state-of-the-nation address, Tokayev said the move is part of the country’s goal to become a fully digital nation within three years.

The new ministry will lead efforts to modernise the economy through AI, big data, and platform technologies, guided by a forthcoming national strategy called Digital Kazakhstan. Tokayev stressed that digital transformation is not optional but essential for Kazakhstan, which he described as being at the crossroads of global technological shifts.

He warned that while opportunities are vast, challenges such as geopolitical tensions, economic inequality, and even AI-based weapons are on the rise. For Kazakhstan, he said, the priority is to ensure stability, prosperity, and a secure future for the younger generation by embracing decisive reforms and adapting to the new technological order.

A major part of this vision is the development of Alatau City, a planned innovation hub near Almaty. Designed as the country’s first fully digital city, it will feature Smart City technologies, digital payments, and cryptocurrency use. Tokayev revealed that land and infrastructure are already prepared, and international partnerships, including with a Chinese company behind Shenzhen’s rise, are set to drive the project forward.

To secure Alatau City’s success, the government plans to grant it special status under direct state supervision within days, followed by a new law defining its governance and financial structure. Tokayev emphasised that the project is not merely a showcase but a practical step toward positioning Kazakhstan as a leader in digital innovation, blending cutting-edge technology with modern urban living.

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China creates brain-inspired AI model

Chinese scientists have unveiled SpikingBrain1.0, the world’s first large-scale AI language model to replicate the human brain. The model reduces energy use and runs independently of Nvidia chips, departing from conventional AI architectures.

Developed by the Chinese Academy of Sciences, SpikingBrain1.0 uses spiking neural networks to activate only the required neurons for each task, rather than processing all information simultaneously.

Instead of evaluating every word in parallel, it focuses on the most recent and relevant context, enabling faster and more efficient processing. Researchers claim the model operates 25 to 100 times faster than traditional AI systems while keeping accuracy competitive.

A significant innovation is hardware independence. SpikingBrain1.0 runs on China’s MetaX chip platform, reducing reliance on Nvidia GPUs. It also requires less than 2% of the data typically needed for pre-training large language models, making it more sustainable and accessible.

SpikingBrain1.0 could power low-energy, real-time applications such as autonomous drones, wearable devices, and edge computing. The model highlights a shift toward biologically-inspired AI prioritising efficiency and adaptability over brute-force computation.

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OpenAI moves to for-profit with Microsoft deal

Microsoft and OpenAI have agreed to new non-binding terms that will allow OpenAI to restructure into a for-profit company, marking a significant shift in their long-standing partnership.

The agreement sets the stage for OpenAI to raise capital, pursue additional cloud partnerships, and eventually go public, while Microsoft retains access to its technology.

The previous deal gave Microsoft exclusive rights to sell OpenAI tools via Azure and made it the primary provider of compute power. OpenAI has since expanded its options, including a $300 billion cloud deal with Oracle and an agreement with Google, allowing it to develop its own data centre project, Stargate.

OpenAI aims to maintain its nonprofit arm, which will receive more than $100 billion from the projected $500 billion private market valuation.

Regulatory approval from the attorneys general of California and Delaware is required for the new structure, with OpenAI targeting completion by the end of the year to secure key funding.

Both companies continue to compete across AI products, from consumer chatbots to business tools, while Microsoft works on building its own AI models to reduce reliance on OpenAI technology.

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Albania names first AI-generated minister to fight corruption

Albanian Prime Minister Edi Rama has unveiled the world’s first AI-generated minister, a virtual figure named Diella, who will oversee public tenders in an effort to eradicate corruption. The announcement was made as Rama presented his new cabinet following a decisive election victory in May.

Diella, meaning ‘Sun’ in Albanian, has already been active on the government’s e-Albania portal, where it has issued more than 36,000 digital documents and helped citizens access around 1,000 services.

Now, it will formally take on a cabinet role, marking what Rama described as a radical shift in governance where technology acts as a participant instead of a tool.

The AI will gradually take over responsibility for awarding government tenders, removing decisions from ministries and ensuring assessments are objective. Rama said the system would help Albania become ‘100 per cent corruption-free’ in procurement, a key area of concern in the country’s bid to join the EU by 2030.

Public tenders have long been linked to corruption scandals in Albania, a nation often cited as a hub for money laundering and organised crime. Supporters view Diella’s appointment as a bold step towards transparency, with local media calling it a major transformation in how state power is exercised.

Rama emphasised that the AI minister would have a special mandate to break down bureaucratic barriers and strengthen public trust in administration.

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Qwen3-Next strengthens Alibaba’s position in global AI race

Alibaba has open-sourced its latest AI model, Qwen3-Next, claiming it is ten times more powerful and cheaper to train than its predecessor.

Developed by Alibaba Cloud, the 80-billion-parameter model reportedly performs on par with the company’s flagship Qwen3-235B-A22B while remaining optimised for deployment on consumer-grade hardware.

Qwen3-Next introduces innovations such as hybrid attention for long text processing, high-sparsity mixture-of-experts architecture, and multi-token prediction strategies. These upgrades boost both efficiency and model stability during training.

Alibaba also released Qwen3-Next-80B-A3B-Thinking, a reasoning-focused model that outperformed its own Qwen3-32B-Thinking and Google’s Gemini-2.5-Flash-Thinking in benchmark tests.

The release strengthens Alibaba’s position as a major player in open-source AI, following last week’s preview of its 1-trillion-parameter Qwen-3-Max model, which ranked sixth on UC Berkeley’s LMArena leaderboard.

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UK launches CAF 4.0 for cybersecurity

The UK’s National Cyber Security Centre has released version 4.0 of its Cyber Assessment Framework to help organisations protect essential services from rising cyber threats.

An updated CAF that provides a structured approach for assessing and improving cybersecurity and resilience across critical sectors.

Version 4.0 introduces a deeper focus on attacker methods and motivations to inform risk decisions, ensures software in essential services is developed and maintained securely, and strengthens guidance on threat detection through security monitoring and threat hunting.

AI-related cyber risks are also now covered more thoroughly throughout the framework.

The CAF primarily supports energy, healthcare, transport, digital infrastructure, and government organisations, helping them meet regulatory obligations such as the NIS Regulations.

Developed in consultation with UK cyber regulators, the framework provides clear benchmarks for assessing security outcomes relative to threat levels.

Authorities encourage system owners to adopt CAF 4.0 alongside complementary tools such as Cyber Essentials, the Cyber Resilience Audit, and Cyber Adversary Simulation services. These combined measures enhance confidence and resilience across the nation’s critical infrastructure.

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