Sustainable development

Cloud and AI growth fuels EU push for greener data centres

Europe’s growing demand for cloud and AI services is driving a rapid expansion of data centres across the EU.

Policymakers now face the difficulty of supporting digital growth instead of undermining climate targets, yet reliable sustainability data remains scarce.

Operators are required to report on energy consumption, water usage, renewable sourcing and heat reuse, but only around one-third have submitted complete data so far.

Brussels plans to introduce a rating scheme from 2026 that grades data centres on environmental performance, potentially rewarding the most sustainable new facilities with faster approvals under the upcoming Cloud and AI Development Act.

Industry groups want the rules adjusted so operators using excess server heat to warm nearby homes are not penalised. Experts also argue that stronger auditing and stricter application of standards are essential so reported data becomes more transparent and credible.

Smaller data centres remain largely untracked even though they are often less efficient, while colocation facilities complicate oversight because customers manage their own servers. Idle machines also waste vast amounts of energy yet remain largely unmeasured.

Meanwhile, replacing old hardware may improve efficiency but comes with its own environmental cost.

Even if future centres run on cleaner power and reuse heat, the manufacturing footprint of the equipment inside them remains a major unanswered sustainability challenge.

Policymakers say better reporting is essential if the EU is to balance digital expansion with climate responsibility rather than allowing environmental blind spots to grow.

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AI tool helps find new treatments for heart disease

A new ΑΙ system developed at Imperial College London could accelerate the discovery of treatments for heart disease by combining detailed heart scans with huge medical databases.

Cardiovascular disease remains the leading cause of death across the EU, accounting for around 1.7 million deaths every year, so researchers believe smarter tools are urgently needed.

The AI model, known as CardioKG, uses imaging data from thousands of UK Biobank participants, including people with heart failure, heart attacks and atrial fibrillation, alongside healthy volunteers.

By linking information about genes, medicines and disease, the system aims to predict which drugs might work best for particular heart conditions instead of relying only on traditional trial-and-error approaches.

Among the medicines highlighted were methotrexate, normally used for rheumatoid arthritis, and diabetes drugs known as gliptins, which the AI suggested could support some heart patients.

The model also pointed to a possible protective effect from caffeine among people with atrial fibrillation, although researchers warned that individuals should not change their caffeine intake based on the findings alone.

Scientists say the same technology could be applied to other health problems, including brain disorders and obesity.

Work is already under way to turn the knowledge graph into a patient-centred system that follows real disease pathways, with the long-term goal of enabling more personalised and better-timed treatment.

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Plaud unveils compact AI NotePin S and new meeting app

Hardware maker Plaud has introduced a new AI notetaking pin called the Plaud NotePin S alongside a Mac desktop app for digital meeting notes ahead of CES in Las Vegas.

The wearable device costs 179 dollars and arrives with several accessories so users can attach or wear it in different ways. A physical button allows quick control of recordings and can be tapped to highlight key moments during conversations.

The NotePin S keeps the same core specifications as the earlier model, including 64GB of storage and up to 20 hours of continuous recording.

Two MEMS microphones capture speech clearly within roughly three metres. Owners receive 300 minutes of transcription each month without extra cost. Apple Find My support is also included, so users can locate the device easily instead of worrying about misplacing it.

Compared with the larger Note Pro, the new pin offers a shorter recording range and battery life, but the small size makes it easier to wear while travelling or working on the go.

Plaud says the device suits users who rely on frequent in-person conversations rather than long seated meetings.

Plaud has now sold more than 1.5 million notetaking devices. The company also aims to enter the AI meeting assistant market with a Mac desktop client that detects when a meeting is active and prompts users to capture audio.

The software records system sound and uses AI to organise the transcript into structured notes. Users can also add typed notes and images instead of relying only on audio.

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Christians raise concerns over AI used for moral guidance

AI is increasingly used for emotional support and companionship, raising questions about the values embedded in its responses, particularly for Christians seeking guidance. Research cited by Harvard Business Review shows therapy-related use now dominates generative AI.

As Christians turn to AI for advice on anxiety, relationships, and personal crises, concerns are growing about the quality and clarity of its responses. Critics warn that AI systems often rely on vague generalities and may lack the moral grounding expected by faith-based users.

A new benchmark released by technology firm Gloo assessed how leading AI models support human flourishing from a Christian perspective. The evaluation examined seven areas, including relationships, meaning, health, and faith, and found consistent weaknesses in how models addressed Christian belief.

The findings show many AI systems struggle with core Christian concepts such as forgiveness and grace. Responses often default to vague spirituality rather than engaging directly with Christian values.

The authors argue that as AI increasingly shapes worldviews, greater attention is needed to how systems serve Christians and other faith communities. They call for clearer benchmarks and training approaches that allow AI to engage respectfully with religious values without promoting any single belief system.

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MindRank advances AI-designed weight loss drug to Phase 3 trials

Hangzhou-based biotech start-up MindRank has entered Phase 3 clinical trials for its weight loss drug, marking China’s first AI-assisted Category 1 new drug to reach this stage. The trial involves MDR-001, a small-molecule GLP-1 receptor agonist developed using AI-driven techniques.

MindRank said the weight loss drug was designed to regulate blood sugar and appetite by mimicking natural hormones. According to founder and chief executive Niu Zhangming, the company is targeting regulatory approval in the second half of 2028, with a potential market launch in 2029.

The company said the development process for the weight loss drug took about 4.5 years, significantly shorter than the typical 7 to 10 years required to reach Phase 3 trials. Niu attributed the acceleration to AI tools that reduced research timelines and cut overall R&D costs by more than 60 per cent.

China-based MindRank uses proprietary AI systems, including large language models (LLMs), to identify weight-loss drug targets and shortlist compounds. The approach has raised target research accuracy above 97 per cent and supports safety and efficacy assessments.

Despite these advances, Niu said human expertise remains essential for strategic decision-making and integrating workflows. He added that AI-assisted drug discovery still faces long validation cycles, meaning its impact on life sciences may be more gradual than in other sectors.

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Semiconductors move closer to space manufacturing

Space Forge, a UK company, has successfully activated a compact factory in orbit, proving its onboard furnace can operate at temperatures of around 1,000C. The breakthrough represents a major advance for space-based manufacturing.

The microwave-sized satellite was launched earlier this year and is operated remotely from mission control in Cardiff. Engineers have been monitoring its systems to validate manufacturing processes in space conditions.

Microgravity and vacuum environments allow semiconductor atoms to align more precisely than on Earth. These conditions produce significantly purer materials for electronics used in networks, electric vehicles and aerospace systems.

The company plans to build a larger orbital factory capable of producing materials for thousands of chips. Future missions will also test a heat shield designed to return manufactured products safely to Earth.

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Universities in Ireland urged to rethink assessments amid AI concerns

Face-to-face interviews and oral verification could become a routine part of third-level assessments under new recommendations aimed at addressing the improper use of AI. Institutions are being encouraged to redesign assessment methods to ensure student work is authentic.

The proposals are set out in new guidelines published by the Higher Education Authority (HEA) of Ireland, which regulates universities and other third-level institutions. The report argues that assessment systems must evolve to reflect the growing use of generative AI in education.

While encouraging institutions to embrace AI’s potential, the report stresses the need to ensure students are demonstrating genuine learning. Academics have raised concerns that AI-generated assignments are increasingly difficult to distinguish from original student work.

To address this, the report recommends redesigning assessments to prioritise student authorship and human judgement. Suggested measures include oral verification, process-based learning, and, where appropriate, a renewed reliance on written exams conducted without technology.

The authors also caution against relying on AI detection tools, arguing that integrity processes should be based on dialogue and evidence. They call for clearer policies, staff and student training, and safeguards around data use and equitable access to AI tools.

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Data centre cluster in Tennessee strengthens xAI’s compute ambitions

xAI is expanding its AI infrastructure in the southern United States after acquiring another data centre site near Memphis. The move significantly increases planned computing capacity and supports ambitions for large-scale AI training.

The expansion centres on the purchase of a third facility near Memphis, disclosed by Elon Musk in a post on X. The acquisition brings xAI’s total planned power capacity close to 2 gigawatts, placing the project among the most energy-intensive AI data centre developments currently underway.

xAI has already completed one major US facility in the area, known as Colossus, while a second site, Colossus 2, remains under construction. The newly acquired building, called MACROHARDRR, is located in Southaven and directly adjoins the Colossus 2 site, as previously reported.

By clustering facilities across neighbouring locations, xAI is creating a contiguous computing campus. The approach enables shared power, cooling, and high-speed data infrastructure for large-scale AI workloads.

The Memphis expansion underscores the rising computational demands of frontier AI models. By owning and controlling its infrastructure, xAI aims to secure long-term access to high-end compute as competition intensifies among firms investing heavily in AI data centres.

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New οffline AI note app promises privacy without subscriptions

Growing concern over data privacy and subscription fatigue has led an independent developer to create WitNote, an AI note-taking tool that runs entirely offline.

The software allows users to process notes locally on Windows and macOS rather than relying on cloud-based services where personal information may be exposed.

WitNote supports lightweight language models such as Qwen2.5-0.5B that can run with limited storage requirements. Users may also connect to external models through API keys if preferred.

Core functions include rewriting, summarising and extending content, while a WYSIWYG Markdown editor provides a familiar workflow without network delays, instead of relying on web-based interfaces.

Another key feature is direct integration with Obsidian Markdown files, allowing notes to be imported instantly and managed in one place.

The developer says the project remains a work in progress but commits to ongoing updates and user-driven improvements, even joining Apple’s developer programme personally to support smoother installation.

For users seeking AI assistance while protecting privacy and avoiding monthly fees, WitNote positions itself as an appealing offline alternative that keeps full control of data on the local machine.

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New plan outlines how India will democratise AI infrastructure

India is moving to rebalance access to AI infrastructure as part of a new national push to close gaps in computing power and data availability.

A white paper released in December 2025 by the Principal Scientific Adviser outlines a strategy to treat AI compute, datasets and models as Digital Public Goods, rather than resources concentrated in a handful of urban hubs.

Despite generating nearly one-fifth of the world’s data, India currently hosts only a small share of global data centre capacity. The paper outlines plans to nearly tenfold capacity expansion by 2030, alongside the rollout of national computing resources through the IndiaAI Mission.

A central pool of GPUs and TPUs is being offered at subsidised rates to researchers and startups, aiming to reduce dependence on foreign cloud providers.

Data access and sovereignty form another pillar of the roadmap. Platforms such as IndiaAIKosh and Bhashini are being developed as shared repositories, hosting thousands of datasets and models across sectors including healthcare, agriculture and Indian languages.

High-performance computing initiatives, including the AIRAWAT supercomputer, are supporting large-scale research in areas such as climate modelling and drug discovery.

The strategy also emphasises regional and state-led infrastructure, with initiatives like Telangana’s federated data exchange seeking to decentralise AI development. Sustainability requirements are also being introduced, as data centres are expected to account for an increasing share of electricity use.

Policymakers view the approach as crucial to developing a form of sovereign AI that fosters innovation beyond major technology hubs and across the broader economy.

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