Amazon Web Services has announced Fastnet, a high-capacity transatlantic subsea cable connecting Maryland and County Cork.
Set to be operational in 2028, Fastnet will expand AWS’s network resilience and deliver faster, more reliable cloud and AI services between the US and Europe.
The cable’s unique route provides critical redundancy, ensuring service continuity even when other cables face disruptions. Capable of transmitting over 320 terabits per second, Fastnet supports large-scale cloud computing and AI workloads while integrating directly into AWS’s global infrastructure.
The system’s design enables real-time data redirection and long-term scalability to meet the increasing demands of AI and edge computing.
Beyond connectivity, AWS is investing in community benefit funds for Maryland and County Cork, supporting local sustainability, education, and workforce development.
A project that reflects AWS’s wider strategy to reinforce critical digital infrastructure and strengthen global innovation in the cloud economy.
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An AI algorithm paired with smartwatch sensors has successfully detected structural heart diseases, including valve damage and weakened heart muscles, in adults. The study, conducted at Yale School of Medicine, will be presented at the American Heart Association’s 2025 Scientific Sessions in New Orleans.
The AI model was trained on over 266,000 electrocardiogram recordings and validated across multiple hospitals and population studies. When tested on 600 participants using single-lead ECGs from a smartwatch, it achieved an 88% accuracy in detecting heart disease.
Researchers said smartwatches could offer a low-cost, accessible method for early screening of structural heart conditions that usually require echocardiograms. The algorithm’s ability to analyse single-lead ECG data could enable preventive detection before symptoms appear.
Experts emphasised that smartwatch data cannot replace medical imaging, but it could complement clinical assessments and expand access to screening. Larger studies in the US are planned to confirm effectiveness and explore community-based use in preventive heart care.
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The US R&D company, OpenAI, has introduced IndQA, a new benchmark designed to test how well AI systems understand and reason across Indian languages and cultural contexts. The benchmark covers 2,278 questions in 12 languages and 10 cultural domains, from literature and food to law and spirituality.
Developed with input from 261 Indian experts, IndQA evaluates AI models through rubric-based grading that assesses accuracy, cultural understanding, and reasoning depth. Questions were created to challenge leading OpenAI models, including GPT-4o and GPT-5, ensuring space for future improvement.
India was chosen as the first region for the initiative, reflecting its linguistic diversity and its position as ChatGPT’s second-largest market.
OpenAI aims to expand the approach globally, using IndQA as a model for building culturally aware benchmarks that help measure real progress in multilingual AI performance.
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Researchers at MIT’s Computer Science and AI Lab (CSAIL) are collaborating with Adobe to create Refashion, a new AI-driven design tool promoting sustainable fashion. The software deconstructs clothing into modules, allowing designers and consumers to reimagine garments for reuse or transformation.
Users can utilise the AI to sketch shapes and combine elements to create adaptable pieces, such as a skirt that transforms into a dress or maternity wear that evolves throughout pregnancy. The system provides blueprints for flexible, reconfigurable designs that reduce waste.
Lead researcher Rebecca Lin said the project encourages reuse from the outset, contrasting with the disposable nature of fast fashion. By making clothing easy to resize, repair and restyle, Refashion aims to extend each item’s lifespan and reduce environmental impact.
MIT Professor Erik Demaine described Refashion as a bridge between computation, art and design, envisioning it as a tool that makes creative fashion accessible while embedding sustainability into every stage of garment creation.
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Lambda has announced a multibillion-euro agreement with Microsoft to expand AI infrastructure powered by tens of thousands of NVIDIA GPUs, marking one of the largest private cloud computing collaborations to date.
The multi-year deal aims to accelerate the deployment of AI supercomputers at scale, enhancing the capacity for enterprise and research applications across industries.
A collaboration that builds on an eight-year relationship between the two companies and reflects growing global demand for high-performance computing driven by the rise of AI assistants and enterprise AI solutions.
Stephen Balaban, CEO of Lambda, said the project represents a major step in developing gigawatt-scale AI factories capable of serving billions of users. The company positions itself as a trusted large-scale partner for organisations building advanced AI models and systems.
Founded in 2012, Lambda designs supercomputing infrastructure for AI training and inference, aiming to make computing power as accessible as electricity and to advance what it calls the era of ‘superintelligence’.
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AI is inserting itself between companies and customers, Cloudflare CEO Matthew Prince warned in Toronto. More people ask chatbots before visiting sites, dulling brands’ impact. Even research teams lose revenue as investors lean on AI summaries.
Frontier models devour data, pushing firms to chase exclusive sources. Cloudflare lets publishers block unpaid crawlers to reclaim control and compensation. The bigger question, said Prince, is which business model will rule an AI-mediated internet.
Policy scrutiny focuses on platforms that blend search with AI collection. Prince urged governments to separate Google’s search access from AI crawling to level the field. Countries that enforce a split could attract publishers and researchers seeking predictable rules and payment.
Licensing deals with news outlets, Reddit, and others coexist with scraping disputes and copyright suits. Google says it follows robots.txt, yet testimony indicated AI Overviews can use content blocked by robots.txt for training. Vague norms risk eroding incentives to create high-quality online content.
A practical near-term playbook combines technical and regulatory steps. Publishers should meter or block AI crawlers that do not pay. Policymakers should require transparency, consent, and compensation for high-value datasets, guiding the shift to an AI-mediated web that still rewards creators.
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Alibaba unveiled Qwen3-Max-Thinking, which scored 100 percent on AIME 2025 and HMMT, matching OpenAI’s top model on reasoning tests. It targets high-precision problem-solving across algebra, number theory, and probability. Researchers regard elite maths contests as strong proxies for reasoning.
Built on Qwen3-Max, a trillion-parameter flagship, the thinking variant emphasises step-by-step solutions. Alibaba says it matches or beats Claude Opus 4, DeepSeek V3.1, Grok 4, and GPT-5 Pro. Positioning stresses accuracy, traceability, and controllable latency.
Signal from a live trading trial added momentum. In a two-week crypto experiment, Qwen3-Max returned 22.3 percent on 10,000 US dollars. Competing systems underperformed, with DeepSeek at 4.9 percent and several US models booking losses.
Access is available via the Qwen web chatbot and Alibaba Cloud APIs. Early adopters can test tool use and stepwise reasoning on technical tasks. Enterprises are exploring finance, research, and operations cases requiring reliability and auditability.
Alibaba researchers say further tuning will broaden task coverage without diluting peak maths performance. Plans include multilingual reasoning, safety alignment, and robustness under distribution shift. Community benchmarks and contests will track progress.
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The European Commission has approved €2.9 billion in funding for 61 large-scale net-zero technology projects, marking one of the EU’s most significant investments in clean innovation to date.
Financed through revenues from the EU Emissions Trading System, the initiative aims to accelerate Europe’s path towards climate neutrality by 2050.
The selected projects cover 19 industrial sectors across 18 Member States and target areas such as renewable energy, energy storage, zero-emission mobility, and industrial carbon management.
Collectively, they are expected to cut more than 220 million tonnes of CO₂ over the next decade, reinforcing Europe’s global leadership in sustainable technologies instead of relying on imports.
Funded under the Innovation Fund, which draws on an estimated €40 billion in ETS revenues, the initiative highlights the EU’s industrial readiness for decarbonisation. The latest call attracted 359 applications requesting €21.7 billion in support, underscoring the rapid growth of the continent’s cleantech sector.
Commissioner Wopke Hoekstra described the announcement as proof that the EU is turning its climate ambitions into industrial reality, creating green jobs and strengthening economic resilience. The next round of Innovation Fund calls will open in December 2025.
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The European Commission has unveiled RAISE, a new virtual institute designed to unite Europe’s AI research and accelerate scientific breakthroughs.
The launch, announced in Copenhagen, marks a flagship moment in the EU’s strategy to strengthen its leadership in science and technology through collective action.
Funded with €107 million under Horizon Europe, RAISE will bring together Europe’s best resources in data, computing power, and research talent.
An initiative that will help scientists apply AI to pressing challenges such as cancer treatment, climate change, and natural disaster prediction, while promoting innovation that serves humanity instead of commercial interests alone.
RAISE will work with the EuroHPC Joint Undertaking to secure access to AI Gigafactories and will dedicate €75 million to train and attract global researchers through Networks of Excellence.
The Commission also plans to double Horizon Europe’s annual AI investments to more than €3 billion, ensuring that the EU remains a global leader in scientific AI.
A project that reflects the EU’s ambition to achieve technological sovereignty and create an inclusive AI ecosystem. As RAISE grows in phases towards 2034, it will strengthen cooperation among Member States, academia, and industry, setting a benchmark for responsible and innovative AI in science.
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The European Commission has approved the creation of the Digital Commons European Digital Infrastructure Consortium (DC-EDIC), designed to strengthen Europe’s digital sovereignty. The new body unites France, Germany, the Netherlands and Italy as founding members.
DC-EDIC aims to build open, interoperable and sovereign digital systems, reducing reliance on imported technologies. Its work will focus on shared data infrastructure, connected public administration and collaborative digital tools to support both governments and businesses.
The Paris-based consortium will coordinate funding access, offer legal and technical guidance, and support the scaling of open-source digital solutions across Europe. Future projects will include a one-stop shop for resources, an expertise hub and a Digital Commons Forum.
All jointly developed software will be released under free, open-source licences, ensuring transparency and reuse whilst being GDPR compliant. The official launch is expected in December 2025, with the first annual State of the Digital Commons report planned for 2027.
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