Fresh investment is fuelling Polaron’s ambition to become the intelligence layer for materials science. The London startup raised $8 million to scale its AI platform and expand deployments across automotive, energy and advanced manufacturing.
Founded after seven years of research at Imperial College London, Polaron applies AI to one of manufacturing’s toughest challenges. Its models analyse microscopy images and material performance data to show how processing affects structure and behaviour.
Engineers are already using the platform to speed up analysis that once took thousands of hours. Early commercial projects, including battery electrode design, have delivered energy density gains of more than 10 per cent.
The company is now focusing on generative materials design to explore optimal configurations. The approach aims to shorten the path from laboratory research to large-scale, reliable manufacturing.
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Artificial intelligence is transforming car design by generating rapid concept images and exploring new ideas in seconds. Designers can test colours, materials, and forms faster than with traditional sketches.
AI excels at designing components, creating mood boards, and supporting research, yet it struggles with originality. Industry leaders emphasise that developing entirely new models still requires human imagination and creativity.
Many manufacturers have developed internal AI systems trained on their own designs to protect intellectual property. These tools help designers experiment with combinations they might not have considered, offering fresh perspectives while keeping confidential data secure.
While AI is unlikely to replace human designers, it has become an essential tool for staying competitive. By combining computational speed with creative vision, design teams can enhance efficiency, inspire innovation, and explore ideas beyond traditional limits.
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Europe is stepping up efforts to industrialise quantum technologies with a €50 million investment in superconducting quantum devices. Funding from the EU Chips Joint Undertaking and national agencies will support the Supreme consortium’s work from early 2026.
Superconducting quantum systems rely on ultra-low temperatures to maintain qubit stability, making manufacturing processes complex and costly. Supreme aims to develop reliable fabrication methods that can be scaled across Europe.
Access to these technologies will be opened to companies through shared pilot production runs and process design kits. Such tools are intended to lower barriers for firms developing quantum hardware and related systems.
The initiative also responds to Europe’s weaker performance in quantum patents compared with research output. Alignment with the upcoming Quantum Act and the EU Chips Act is expected to strengthen commercial uptake and industrial competitiveness.
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WordPress has released new guidelines to shape how AI is used across plugins, themes, documentation and media assets. The framework focuses on transparency, accountability and maintaining the project’s open source foundations.
Contributors remain fully responsible for AI-assisted work and are expected to disclose meaningful AI use during submissions. Reviewers are encouraged to assess such contributions with awareness of how automated tools influenced the output.
Strong emphasis is placed on licensing, with all AI-generated material required to remain compatible with GPLv2 or later. Tools that restrict redistribution or reproduce incompatible code are explicitly ruled out.
The guidance also targets so-called AI slop, including untested code, fabricated references and unnecessarily complex solutions. Maintainers are authorised to reject low-quality submissions that lack apparent human oversight.
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India has unveiled a plan to offer foreign cloud providers zero taxes on revenues from services sold abroad if workloads are run from Indian data centres until 2047. The move aims to attract AI investment despite power and water shortages.
Major US tech companies, including Google, Microsoft and Amazon, have pledged billions of dollars to expand AI-focused data centres in India. Domestic operators are also increasing capacity, with large projects announced in Andhra Pradesh and other states.
The government has boosted incentives for electronics and semiconductor manufacturing, critical minerals, and cross-border e-commerce. These measures aim to integrate India more deeply into global technology supply chains.
Analysts warn that execution risks remain, including energy shortages, land access and regulatory hurdles. Observers say the tax holiday and incentives reflect a strategic bet on establishing India as a global hub for AI and cloud computing.
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Social media platforms are increasingly filled with AI-generated slop created to maximise engagement. The rapid spread has been fuelled by easy access to generative tools and algorithm-driven promotion.
Users across major platforms are pushing back, frequently calling out fake or misleading posts in comment sections. In many cases, criticism of AI slop draws more attention than the original content.
Technology companies acknowledge concerns about low-quality AI media but remain reluctant to impose strict limits. Platform leaders argue that new formats are often criticised before gaining wider acceptance.
Researchers warn that repeated exposure to AI slop may contribute to what they describe as ‘brain rot’, reducing attention and discouraging content verification. The risk becomes more serious when fabricated visuals shape public opinion or circulate as news.
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Pentagon officials are at odds with AI developer Anthropic over restrictions designed to prevent autonomous weapons targeting and domestic surveillance. The disagreement has stalled discussions under a $200 million contract.
Anthropic has expressed concern about its tools being used in ways that could harm civilians or breach privacy. The company emphasises that human oversight is essential for national security applications.
The dispute reflects broader tensions between Silicon Valley firms and government use of AI. Pentagon officials argue that commercial AI can be deployed as long as it follows US law, regardless of corporate guidelines.
Anthropic’s stance may affect its Pentagon contracts as the firm prepares for a public offering. The company continues to engage with officials while advocating for ethical AI deployment in defence operations.
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Millions of South Africans are set to gain access to AI and digital skills through a partnership between Microsoft South Africa and the national broadcaster SABC Plus. The initiative will deliver online courses, assessments, and recognised credentials directly to learners’ devices.
Building on Microsoft Elevate and the AI Skills Initiative, the programme follows the training of 1.4 million people and the credentialing of nearly half a million citizens since 2025. SABC Plus, with over 1.9 million registered users, provides an ideal platform to reach diverse communities nationwide.
AI and data skills are increasingly critical for employability, with global demand for AI roles growing rapidly. Microsoft and SABC aim to equip citizens with practical, future-ready capabilities, ensuring learning opportunities are not limited by geography or background.
The collaboration also complements Microsoft’s broader initiatives in South Africa, including Ikamva Digital, ElevateHer, Civic AI, and youth certification programmes, all designed to foster inclusion and prepare the next generation for a digital economy.
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OpenAI has developed an internal AI data agent designed to help employees move from complex questions to reliable insights in minutes. The tool allows teams to analyse vast datasets using natural language instead of manual SQL-heavy workflows.
Across engineering, finance, research and product teams, the agent reduces friction by locating the right tables, running queries and validating results automatically. Built on GPT-5.2, it adapts as it works, correcting errors and refining its approach without constant human input.
Context plays a central role in the system’s accuracy, combining metadata, human annotations, code-level insights and institutional knowledge. A built-in memory function stores non-obvious corrections, helping the agent improve over time and avoid repeated mistakes.
To maintain trust, OpenAI evaluates the agent continuously using automated tests that compare generated results with verified benchmarks. Strong access controls and transparent reasoning ensure the system remains secure, reliable and aligned with existing data permissions.
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AI is often criticised for its growing electricity and water use, but experts argue it can also support sustainability. AI can reduce emissions, save energy, and optimise resource use across multiple sectors.
In agriculture, AI-powered irrigation helps farmers use water more efficiently. In Chile, precision systems reduced water consumption by up to 30%, while farmers earned extra income from verified savings.
Data centres and energy companies are deploying AI to improve efficiency, predict workloads, optimise cooling, monitor methane leaks, and schedule maintenance. These measures help reduce emissions and operational costs.
Buildings and aviation are also benefiting from AI. Innovative systems manage heating, cooling, and appliances more efficiently. AI also optimises flight routes, reducing fuel consumption and contrail formation, showing that wider adoption could help fight climate change.
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