Armenia’s recent technology announcements are helping to form a clearer national AI strategy with stronger coordination. A memorandum with the US on semiconductors and AI now appears to be moving beyond symbolic commitment into action.
Momentum has accelerated with plans to expand a large-scale AI factory backed by significant investment. The project is estimated at around $4 billion and includes tens of thousands of advanced GPUs to support large-scale development.
The initiative is already entering construction, marking a shift from concept to execution in a short timeframe. Officials have described a broader vision of building a network of AI factories across the country.
Energy planning is becoming central, with discussions around deploying a small modular nuclear reactor to meet demand. Stable and scalable power is considered essential for sustaining long-term AI infrastructure growth.
Efforts are also targeting the wider ecosystem through a Virtual AI Institute and planned GPU access for startups. These steps aim to strengthen research capacity and ensure local participation in the country’s AI expansion.
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Britain is opening access to its national AI Research Resource to support domestic AI development. Startups and spinouts can now use supercomputers previously reserved for frontier research.
The AIRR combines infrastructure from government, universities and leading technology firms. It provides the computing power needed to train models and run complex simulations.
Access will be worth around ÂŁ20 million per year for participating companies. Officials say reducing compute barriers will help startups move faster from prototype to product.
The government’s Sovereign AI Unit, backed by up to £500 million, will also support long-term growth. The programme targets areas including advanced models, scientific discovery and trustworthy AI systems.
Concerns remain over regulatory alignment with the EU’s stricter AI rules. Tensions could shape whether the UK maintains a more flexible environment for innovation.
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South Korea is seeking international support for a proposed global AI hub to advance cooperation on technology and governance. The initiative was discussed during talks with Switzerland’s leadership.
Officials in Switzerland met with South Korea’s prime minister to strengthen bilateral ties and support the project. The programme is intended to promote collaboration on AI rules, education and innovation.
The government of South Korea has also engaged several UN agencies to support the initiative. Agreements outline cooperation to help establish the hub and expand global dialogue on AI development.
Leaders in South Korea say the country aims to contribute its strong information technology capabilities to the project. The initiative reflects broader efforts to position the nation as a key player in global AI policy and innovation.
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A new 110MW data centre microgrid has been launched in Dublin to support rising AI-driven energy demand. The system is designed to provide reliable power during early development stages before full grid connection.
The project combines energy generation, battery storage and heat recovery to improve efficiency and resilience. Developers say the system can help address power constraints affecting large-scale cloud and AI facilities.
Industry leaders in Dublin say the microgrid offers a model for integrating renewable energy with traditional infrastructure. The approach could be replicated in other European markets facing similar grid limitations.
Experts say the system also enables future innovations such as hydrogen integration and district heating. The project reflects a broader shift towards treating energy as a strategic asset in the expansion of AI infrastructure.
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Business leaders in Cyprus are increasingly concerned about whether their organisations are adapting quickly enough to AI-driven change. A recent PwC survey shows many executives feel the pace of transformation is too slow.
Despite growing interest, most companies have yet to see significant financial returns from AI. Only a minority reported increased revenue or reduced costs, while many said the impact remains limited. These returns are not limited to Cyprus, but are also seen around the world.
Companies in Cyprus are still building the foundations for wider AI adoption. The challenges include limited investment, difficulty attracting skilled talent and uncertainty about organisational readiness.
Executives expect AI to affect junior roles more than senior positions over the coming years. Leaders emphasise the need for clear strategy, workforce development and stronger alignment between technology and business goals.
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Cybercrime incidents have surged as AI tools enable more convincing scams, leading to sharply rising losses in Estonia. Authorities reported thousands of phishing and fraud cases affecting individuals and businesses.
Criminals are using AI to generate fluent messages in Estonian, removing a key warning sign that once helped people detect scams. Experts say language accuracy has made fraudulent calls and messages harder to identify.
Growing awareness of scams is also fuelling public anxiety, with some users considering abandoning digital services. Officials warn that loss of trust could undermine confidence in digital systems.
Authorities are urging stronger safeguards and public education to counter the cybersecurity threats. Banks, telecom firms and digital identity providers are introducing new protections while campaigns aim to improve digital awareness.
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Researchers at MIT have developed a new approach that combines generative AI with wireless signals to detect objects hidden behind obstacles. The system uses Wi-Fi-like millimetre wave signals to build partial reconstructions and then completes missing details with AI.
Traditional methods struggled with limited visibility due to how signals reflect off surfaces, often leaving large portions of objects undetected. The new technique, Wave-Former, uses generative AI to fill missing data, improving reconstruction accuracy by nearly 20%.
An extended system, called RISE, takes the concept further by mapping entire indoor environments. By analysing reflected signals from human movement, the system reconstructs room layouts using a single stationary radar, removing the need for mobile sensors.
Applications range from warehouse automation to smart home robotics, where understanding hidden objects and human positions is critical. Unlike camera-based systems, the technology also preserves privacy, marking a significant step forward in wireless sensing capabilities.
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Tokyo authorities are accelerating the adoption of generative AI across public administration, aiming to improve efficiency and address labour shortages. Municipal governments across the capital are increasingly integrating AI into daily operations.
A new AI platform with GovTech Tokyo enables public employees to build customised applications without advanced technical skills. Built on open-source software, the system lowers costs and removes barriers linked to development and infrastructure.
Practical applications include document drafting tools, regulatory search systems, and internal chatbots. Early deployments, such as in Sumida Ward, show reduced operational costs and faster workflows compared to outsourcing solutions.
GovTech Tokyo, established in 2023 to lead digital transformation, continues to expand support frameworks and expertise. Plans are underway to enable the sharing of AI applications across municipalities, strengthening collaboration and standardising innovation across the capital.
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Researchers led by Michigan State University developed an AI model that predicts chemical effects on gene expression, speeding up drug discovery. The system analyses chemical structures to determine whether compounds increase or decrease activity in specific genes.
The model was trained on vast datasets of experimental results, allowing it to filter complex biological signals and produce reliable predictions. The approach allows virtual screening of millions of compounds, reducing the need for early-stage lab testing.
Study identified promising compounds for treating hepatocellular carcinoma and idiopathic pulmonary fibrosis, two diseases with limited therapeutic options. Lab and animal tests confirmed several compounds reduced tumour growth or showed promise for lung disease treatment.
Findings highlight the growing role of AI in medicine, with researchers emphasising that collaboration across computational science, biology, and clinical practice remains essential to bringing new therapies from discovery to real-world use.
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Mass layoffs across major tech firms, including Amazon’s 16,000 job cuts, have intensified concerns that AI will replace white-collar workers. Headlines suggest a rapid shift, yet broader labour data tells a more measured story.
US employment has grown by 1.1% since the launch of ChatGPT in November 2022, reaching over 157 million workers. Service industries expanded significantly, adding more than two million jobs, while goods-producing sectors declined modestly.
Overall trends indicate no major disruption to the labour market so far.
Sector-level data reveals uneven shifts. The information industry recorded the steepest losses, particularly in media, telecoms, and content production, where automation and long-term structural changes continue to reduce headcounts.
Meanwhile, highly automatable roles such as telemarketing and call centres saw the sharpest declines.
Professional services present a more complex picture. Legal, engineering, and consulting roles have grown or remained stable, defying expectations of widespread displacement.
Hiring continues to exceed layoffs in several sectors, though younger workers appear increasingly vulnerable as competition intensifies in AI-exposed roles.
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