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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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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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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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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A new international study has shown that an AI model using deep transfer learning can predict spoken language outcomes for children following cochlear implants with 92% accuracy.
Researchers analysed pre-implantation brain MRI scans from 278 children across Hong Kong, Australia, and the US, covering English, Spanish, and Cantonese speakers.
Cochlear implants are the only effective treatment for severe hearing loss, though speech development after early implantation can vary widely. The AI model identifies children needing intensive therapy, enabling clinicians to tailor interventions before implantation.
The study demonstrated that deep learning outperformed traditional machine learning models, handling complex, heterogeneous datasets across multiple centres with different scanning protocols and outcome measures.
Researchers described the approach as a robust prognostic tool for cochlear implant programmes worldwide.
Experts highlighted that the AI-powered ‘predict-to-prescribe’ method could transform paediatric audiology by optimising therapy plans and improving spoken language development for children receiving cochlear implants.
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The booming influencer economy of Belgium is colliding with an advertising rulebook that many creators say belongs to another era.
Different obligations across federal, regional and local authorities mean that wording acceptable in one region may trigger a reprimand in another. Some influencers have even faced large fines for administrative breaches such as failing to publish business details on their profiles.
In response, the Influencer Marketing Alliance in Belgium has launched a certification scheme designed to help creators navigate the legal maze instead of risking unintentional violations.
Influencers complete an online course on advertising and consumer law and must pass a final exam before being listed in a public registry monitored by the Jury for Ethical Practices.
Major brands, including L’Oréal and Coca-Cola, already prefer to collaborate with certified creators to ensure compliance and credibility.
Not everyone is convinced.
Some Belgian influencers argue that certification adds more bureaucracy at a time when they already struggle to understand overlapping rules. Others see value as a structured reminder that content creators remain legally responsible for commercial communication shared with followers.
The alliance is also pushing lawmakers to involve influencers more closely when drafting future rules, including taxation and safeguards for child creators.
Consumer groups such as BEUC support clearer definitions and obligations under the forthcoming EU Digital Fairness Act, arguing that influencer advertising should follow the same standards as other media instead of remaining in a grey zone.
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A ransomware attack has disrupted the Oltenia Energy Complex, Romania’s largest coal-based power producer, after hackers encrypted key IT systems in the early hours of 26 December.
The state-controlled company confirmed that the Gentlemen ransomware strain locked corporate files and disabled core services, including ERP platforms, document management tools, email and the official website.
The organisation isolated affected infrastructure and began restoring services from backups on new systems instead of paying a ransom. Operations were only partially impacted and officials stressed that the national energy system remained secure, despite the disruption across business networks.
A criminal complaint has been filed. Additionally, both the National Directorate of Cyber Security of Romania and the Ministry of Energy have been notified.
Investigators are still assessing the scale of the breach and whether sensitive data was exfiltrated before encryption. The Gentlemen ransomware group has not yet listed the energy firm on its dark-web leak site, a sign that negotiations may still be underway.
An attack that follows a separate ransomware incident that recently hit Romania’s national water authority, underlining the rising pressure on critical infrastructure organisations.
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The Bank of Russia has reiterated its confidence in the long-term potential of the digital ruble, describing the project as one of the most advanced central bank digital currency initiatives globally.
According to the regulator, preparations for a large-scale rollout remain on track for 2026, with internal estimates suggesting the digital ruble could represent up to 5% of all cashless payments within seven years of launch.
Central bank officials highlighted smart contracts as a primary area of application, alongside budgetary payments and cross-border transaction mechanisms, where efficiency and transparency gains are expected.
The regulator added that global payment trends are being closely monitored. Officials stressed the importance of defining a clear role for each financial instrument rather than introducing technology without a specific economic purpose.
Bank of Russia officials also emphasised ongoing collaboration with market participants to identify new opportunities for the digital ruble and maximise its practical impact.
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AI dictation reached maturity during the years after many attempts of patchy performance and frustrating inaccuracies.
Advances in speech-to-text engines and large language models now allow modern dictation tools to recognise everyday speech more reliably while keeping enough context to format sentences automatically instead of producing raw transcripts that require heavy editing.
Several leading apps have emerged with different strengths. Wispr Flow focuses on flexibility with style options and custom vocabulary, while Willow blends automation with privacy by storing transcripts locally.
Monologue also prioritises privacy by allowing users to download the model and run transcription entirely on their own machines. Superwhisper caters for power users by supporting multiple downloadable models and transcription from audio or video files.
Other tools take different approaches. VoiceTypr offers an offline-first design with lifetime licensing, Aqua promotes speed and phrase-based shortcuts, Handy provides a simple free open source starting point, and Typeless gives one of the most generous free allowances while promising strong data protection.
Each reflects a wider trend where developers try to balance convenience, privacy, control and affordability.
Users now benefit from cleaner, more natural-sounding transcripts instead of the rigid audio typing tools of previous years. AI dictation has become faster, more accurate and far more usable for everyday note-taking, messaging and work tasks.
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AI tools are increasingly used for simple everyday calculations, yet a new benchmark suggests accuracy remains unreliable.
The ORCA study tested five major chatbots across 500 real-world maths prompts and found that users still face roughly a 40 percent chance of receiving the wrong answer.
Gemini from Google recorded the highest score at 63 percent, with xAI’s Grok almost level at 62.8 percent. DeepSeek followed with 52 percent, while ChatGPT scored 49.4 percent, and Claude placed last at 45.2 percent.
Performance varied sharply across subjects, with maths and conversion tasks producing the best results, but physics questions dragged scores down to an average accuracy below 40 percent.
Researchers identified most errors as sloppy calculations or rounding mistakes, rather than deeper failures to understand the problem. Finance and economics questions highlighted the widest gaps between the models, while DeepSeek struggled most in biology and chemistry, with barely one correct answer in ten.
Users are advised to double-check results whenever accuracy is crucial. A calculator or a verified source is still advised instead of relying entirely on an AI chatbot for numerical certainty.
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