Capacity development

How GEMS turns Copilot time savings into personalised teaching at scale

GEMS Education is rolling out Microsoft 365 Copilot to cut admin and personalise learning, with clear guardrails and transparency. Teachers spend less time on preparation and more time with pupils. The aim is augmentation, not replacement.

Copilot serves as a single workspace for plans, sources, and visuals. Differentiated materials arrive faster for struggling and advanced learners. More time goes to feedback and small groups.

Student projects are accelerating. A Grade 8 pupil built a smart-helmet prototype, using AI to guide circuitry, code, and documentation. The idea to build functionally moved quickly.

The School of Research and Innovation opened in August 2025 as a living lab, hosting educator training, research partners, and student incubation. A Microsoft-backed stack underpins the campus.

Teachers are co-creating lightweight AI agents for curriculum and analytics. Expert oversight and safety patterns stay central. The focus is on measurable time savings and real-world learning.

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New AI tool helps identify suicide-risk individuals

Researchers at Touro University have found that an AI tool can identify suicide risk that standard diagnostic methods often miss. The study, published in the Journal of Personality Assessment, shows that LLMs can analyse speech to detect patterns linked to perceived suicide risk.

Current assessment methods, such as multiple-choice questionnaires, often fail to capture the nuances of an individual’s experience.

The study used Claude 3.5 Sonnet to analyse 164 participants’ audio responses, examining future self-continuity, a key factor linked to suicide risk. The AI detected subtle cues in speech, including coherence, emotional tone, and detail, which traditional tools overlooked.

While the research focused on perceived risk rather than actual suicide attempts, identifying individuals who feel at risk is crucial for timely intervention. LLM predictions could be used in hospitals, hotlines, or therapy sessions as a new tool for mental health professionals.

Beyond suicide risk, large language models may also help detect other mental health conditions such as depression and anxiety, providing faster, more nuanced insights into patients’ mental well-being and supporting early intervention strategies.

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Naver expands physical AI ambitions with $690 million GPU investment

South Korean technology leader Naver is deepening its AI ambitions through a $690 million investment in graphics processing units from 2025.

A move that aims to strengthen its AI infrastructure and drive the development of physical AI, a field merging digital intelligence with robotics, logistics, and autonomous systems.

Beyond its internal use, Naver plans to monetise its expanded computing power by offering GPU-as-a-Service to clients across sectors, creating new revenue opportunities aligned with its AI ecosystem.

Chief Executive Choi Soo-yeon described physical AI as the firm’s next growth pillar, combining robotics, data, and generative AI to reshape both digital and industrial environments. The company already holds a significant share of the global robotics operating system market, underlining its technological maturity.

An investment that marks a strategic shift from software-based AI to infrastructure-driven intelligence, positioning Naver as a leader in integrating AI with real-world applications.

As global competition intensifies, Naver’s model of coupling high-performance computing with robotics innovation signals the emergence of South Korea as a centre for applied AI technology.

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Material-level AI emerges in MIT–DeRucci sleep science collaboration

MIT’s Sensor and Ambient Intelligence group, led by Joseph Paradiso, unveiled ‘FiberCircuits’, a smart-fibre platform co-developed with DeRucci. It embeds sensing, edge inference, and feedback directly in fibres to create ‘weavable intelligence’. The aim is natural, low-intrusion human–computer interaction.

Teams embedded AI micro-sensors and sub-millimetre ICs to capture respiration, movement, skin conductance, and temperature, running tinyML locally for privacy. Feedback via light, sound, or micro-stimulation closes the loop while keeping power and data exposure low.

Sleep science prototypes included a mattress with distributed sensors for posture recognition, an eye mask combining PPG and EMG, and an IMU-enabled pillow. Prototypes were used to validate signal parsing and human–machine coupling across various sleep scenarios.

Edge-first design places most inference on the fibre to protect user data and reduce interference, according to DeRucci’s CTO, Chen Wenze. Collaboration covered architecture, algorithms, and validation, with early results highlighting comfort, durability, and responsiveness suitable for bedding.

Partners plan to expand cohorts and scenarios into rehabilitation and non-invasive monitoring, and to release selected algorithms and test protocols. Paradiso framed material-level intelligence as a path to gentler interfaces that blend into everyday environments.

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AI brain atlas reveals unprecedented detail in MRI scans

Researchers at University College London have developed NextBrain, an AI-assisted brain atlas that visualises the human brain in unprecedented detail. The tool links microscopic tissue imaging with MRI, enabling rapid and precise analysis of living brain scans.

NextBrain maps 333 brain regions using high-resolution post-mortem tissue data, which is combined into a digital 3D model with the aid of AI. The atlas was created over the course of six years by dissecting, photographing, and digitally reconstructing five human brains.

AI played a crucial role in aligning microscope images with MRI scans, ensuring accuracy while significantly reducing the time required for manual labelling. The atlas detects subtle changes in brain sub-regions, such as the hippocampus, crucial for studying diseases like Alzheimer’s.

Testing on thousands of MRI scans demonstrated that NextBrain reliably identifies brain regions across different scanners and imaging conditions, enabling detailed analysis of ageing patterns and early signs of neurodegeneration.

All data, tools, and annotations are openly available through the FreeSurfer neuroimaging platform. The public release of NextBrain aims to accelerate research, support diagnosis, and improve treatment for neurological conditions worldwide.

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Microsoft Elevate expands AI skills training across the UAE

Microsoft has expanded its Microsoft Elevate initiative in the UAE, aiming to equip one million people with AI skills by the end of the decade. The programme is training over 250,000 students and staff, plus 55,000 government employees, to prepare the UAE workforce for an AI-driven future.

Partnerships with educational institutions and nonprofits are central to the initiative. Collaborations with organisations such as GEMS and INJAZ UAE are embedding AI skills into schools, training 10,000 teachers and over 150,000 students.

Higher education institutions, including MBZUAI, UAE University, and the Higher Colleges of Technology, are also participating to advance AI literacy, research, and digital skills across the academic community.

Government employees are a key focus, with 55,000 federal staff set to receive AI training through specialised courses developed with G42 and delivered via the JAHIZ platform. Leadership programmes with INSEAD train senior officials and executives, enhancing strategic skills and promoting responsible AI use.

Microsoft Elevate is closing the UAE’s AI skills gap and expanding opportunities for students, educators, and public servants. The programme combines technical and leadership training to strengthen the UAE’s talent pipeline and global AI leadership.

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EU pushes for stronger global climate action at COP30 in Brazil

The European Union will use the COP30 Climate Conference in Belém, Brazil, to reinforce its commitment to a fair and ambitious global clean transition.

The EU aims to accelerate the implementation of the Paris Agreement by driving decarbonisation, promoting renewables, and supporting vulnerable nations most affected by climate change.

President Ursula von der Leyen said the transition is ‘ongoing and irreversible’, stressing that it must remain inclusive and equitable.

Additionally, the EU will call for new efforts to close implementation gaps, limit temperature overshoot beyond 1.5°C, and advance the Global Stocktake outcomes from COP28. It will also promote the global pledges to triple renewable capacity and double energy efficiency by 2030.

A new climate target will commit to cutting net greenhouse gas emissions by between 66.25% and 72.5% below 1990 levels by 2035, on the path to a 90% reduction by 2040.

The EU also supports the creation of a Coalition for Compliance Carbon Markets and increased finance for developing countries through the Baku to Belém Roadmap.

Commissioner Wopke Hoekstra said Europe’s climate ambition strengthens both competitiveness and independence. He urged major economies to raise ambition and accelerate implementation to keep the Paris target within reach.

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EU conference highlights the need for collaboration in digital safety and growth

European politicians and experts gathered in Billund for the conference ‘Towards a Safer and More Innovative Digital Europe’, hosted by the Danish Parliament.

The discussions centred on how to protect citizens online while strengthening Europe’s technological competitiveness.

Lisbeth Bech-Nielsen, Chair of the Danish Parliament’s Digitalisation and IT Committee, stated that the event demonstrated the need for the EU to act more swiftly to harness its collective digital potential.

She emphasised that only through cooperation and shared responsibility can the EU match the pace of global digital transformation and fully benefit from its combined strengths.

The first theme addressed online safety and responsibility, focusing on the enforcement of the Digital Services Act, child protection, and the accountability of e-commerce platforms importing products from outside the EU.

Participants highlighted the importance of listening to young people and improving cross-border collaboration between regulators and industry.

The second theme examined Europe’s competitiveness in emerging technologies such as AI and quantum computing. Speakers called for more substantial investment, harmonised digital skills strategies, and better support for businesses seeking to expand within the single market.

A Billund conference emphasised that Europe’s digital future depends on striking a balance between safety, innovation, and competitiveness, which can only be achieved through joint action and long-term commitment.

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OpenAI becomes fastest-growing business platform in history

OpenAI has surpassed 1 million business customers, becoming the fastest-growing business platform in history. Companies in healthcare, finance, retail, and tech use ChatGPT for Work or API access to enhance operations, customer experiences, and team workflows.

Consumer familiarity is driving enterprise adoption. With over 800 million weekly ChatGPT users, rollouts face less friction. ChatGPT for Work now has more than 7 million seats, growing 40% in two months, while ChatGPT Enterprise seats have increased ninefold year-over-year.

Businesses are reporting strong ROI, with 75% seeing positive results from AI deployment.

New tools and integrations are accelerating adoption. Company knowledge lets AI work across Slack, SharePoint, and GitHub. Codex accelerates engineering workflows, while AgentKit facilitates rapid enterprise agent deployment.

Multimodal models now support text, images, video, and audio, allowing richer workflows across industries.

Many companies are building applications directly on OpenAI’s platform. Brands like Canva, Spotify, and Shopify are integrating AI into apps, and the Agentic Commerce Protocol is bringing conversational commerce to everyday experiences.

OpenAI aims to continue expanding capabilities in 2026, reimagining enterprise workflows with AI at the core.

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MAI-Image-1 arrives in Bing and Copilot with EU launch on the way

Microsoft’s in-house image generator, MAI-Image-1, now powers Bing Image Creator and Copilot Audio Expressions, with EU availability coming soon, according to Mustafa Suleyman. It’s optimised for speed and photorealism in food, landscapes, and stylised lighting.

In Copilot’s Story Mode, MAI-Image-1 pairs artwork with AI audio, linking text-to-image and text-to-speech. Microsoft pitches realism and fast iteration versus larger, slower models to shorten creative workflows.

The rollout follows August’s MAI-Voice-1 and MAI-1-preview. Copilot is shifting to OpenAI’s GPT-5 while continuing to offer Anthropic’s Claude, signalling a mixed-model strategy alongside homegrown systems.

Bing’s Image Creator lists three selectable models, which are MAI-Image-1, OpenAI’s DALL-E 3, and OpenAI’s GPT-4o. Microsoft says MAI-Image-1 enables faster ideation and hand-off to downstream tools for refinement.

Analysts see MAI-Image-1 as part of a broader effort to reduce dependence on third-party image systems while preserving user choice. Microsoft highlights safety tooling and copyright-aware practices across Copilot experiences as adoption widens.

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