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Microsoft launches Copilot Cowork to automate tasks across Microsoft 365

AI is moving from assistance to execution as Microsoft introduces Copilot Cowork, a system designed to perform tasks across the Microsoft 365 environment.

Instead of simply generating text or suggestions, the feature allows users to delegate real work by describing a desired outcome.

Copilot Cowork converts requests into structured plans that run in the background. The system analyses signals from workplace tools such as Microsoft Outlook, Microsoft Teams and Microsoft Excel to understand schedules, documents and ongoing projects.

Users can approve or modify each step while the AI coordinates actions across meetings, files and messages.

Several enterprise scenarios illustrate the system’s capabilities. Cowork can reorganise calendars by analysing meetings and automatically proposing schedule changes.

It can also prepare complete briefing materials for customer meetings by collecting relevant emails, files and data before generating presentations and research summaries.

The technology also supports deeper analysis tasks. Users can request company research and receive structured outputs that include summaries, financial data and supporting documents.

In product launch planning, Cowork can compile competitive intelligence, build presentations and outline project milestones, creating a coordinated workflow for teams.

Microsoft emphasises that the system operates within enterprise security boundaries. Identity, compliance policies and data permissions remain enforced while tasks execute in a protected cloud environment.

The platform also reflects a multi-model strategy, combining Microsoft AI capabilities with Anthropic technology through the integration of the model behind Claude.

Copilot Cowork is currently available to a limited group of customers through a research preview.

Wider availability is expected later in 2026 through Microsoft’s Frontier programme as the company expands AI-driven workplace automation.

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Smart Classrooms initiative transforms learning in 10 Thai pilot schools

Ten pilot schools in Buriram and Si Sa Ket provinces have launched Smart Classrooms under the UNESCO–Huawei TEOSA initiative, supporting Thailand’s drive to expand digital education.

Led by UNESCO Bangkok in partnership with Thailand’s Ministry of Education and Huawei Technologies Co., Ltd, the Smart Classrooms initiative aims to strengthen digital learning environments, equip teachers with digital and AI competencies, and support policy development for AI in education. The programme also supports Thailand’s ‘Transforming Education in the Digital Era’ policy and the National AI Strategy and Action Plan (2022–2027).

Each province has one designated ‘mother school’ that serves as a regional digital hub, supporting four surrounding ‘child schools’ by sharing resources, training, and expertise. The ten pilot schools in total have received high-speed internet, interactive digital displays, and collaborative learning platforms that support real-time content sharing and blended learning. Forty-five teachers from the pilot schools also participated in hands-on demonstrations of Smart Classrooms systems on 4–5 March.

‘This new technology will help translate theory into practice, allowing students to experiment, test strategies, and see results immediately,’ said Pathanapong Momprakhon, Principal of Paisan Pittayakom School. UNESCO Bangkok’s Deputy Director and Chief of Education, Marina Patrier, highlighted the importance of combining infrastructure with teacher capacity-building.

‘At UNESCO, we are committed to promoting the ethical and inclusive use of AI in ways that empower teachers and expand opportunities for every learner,’ Ms Patrier said at the launch. ‘While Smart Classrooms provide important tools, it is teachers’ creativity, professional judgement and leadership that ultimately bring these innovations to life.’

Chitralada Chanyaem of the Thai National Commission for UNESCO highlighted the importance of collaboration in advancing digital education.

‘The UNESCO–Huawei Funds-in-Trust Project on Technology-Enabled Open Schools for All stands as a powerful example of collaboration dedicated to transforming education into a system that is open, inclusive, flexible, and resilient in the face of a rapidly changing world, she said. ‘As the future of education cannot be confined within classroom walls, it must bridge sectors and communities, working collaboratively to create equitable and sustainable opportunities for all.’

Teachers observed Huawei technical staff and master teachers demonstrate how digital tools and AI-supported applications can be used in everyday lessons. Ms Piyaporn Kidsirianan, Public Relations Manager at Huawei Technologies (Thailand) Co., Ltd, said the initiative aims to reduce digital inequality.

‘The Open Schools for All initiative represents a commitment to using technology as a bridge to deliver quality education to remote and underserved communities.’ The TEOSA Smart Classrooms initiative combines policy support, digital infrastructure upgrades, and teacher training to help translate Thailand’s digital education ambitions into practical impact at the school level.

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Space startup to test crypto mining in orbit

Starcloud, a space startup, is preparing to test Bitcoin mining in orbit with its upcoming Starcloud-2 satellite. The mission will carry specialised ASIC mining processors, marking one of the first attempts to run crypto infrastructure beyond Earth.

The initiative builds on a successful 2025 demonstration when Starcloud operated Nvidia H100 GPUs in low Earth orbit. During that mission, the satellite performed AI computing tasks, proving that data-centre-grade hardware can function in space.

Starcloud-2 will expand these capabilities by adding a larger GPU cluster and mining-specific ASICs.

Operating in orbit offers potential advantages for energy-intensive computing. Satellite solar arrays provide near-continuous power, and space’s vacuum allows natural heat dissipation, cutting the need for water-based cooling systems.

Engineers warn that technical challenges remain. Radiation exposure, shielding needs, and the difficulty of repairing hardware once launched could complicate operations.

Despite these obstacles, Starcloud sees orbit as a promising environment for next-generation computing and Bitcoin mining.

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Malaysia expands AI learning across universities with Google tools

AI tools from Google are now available across all public universities in Malaysia after the nationwide deployment of Gemini for Education.

An initiative that integrates AI capabilities into university systems, providing digital research and learning support to nearly 600,000 students and 75,000 faculty members.

The rollout is coordinated with the Ministry of Higher Education Malaysia as part of the country’s broader strategy to become an AI-driven economy by 2030. Universities already using Google Workspace for

Education can now access advanced tools, including NotebookLM and the reasoning model Gemini 3.1 Pro, which are designed to support research, writing and personalised learning.

Several universities are already experimenting with AI-assisted teaching. At Universiti Malaysia Perlis, lecturers have created customised AI assistants to guide students through specialised engineering courses.

Meanwhile, researchers and students at Universiti Putra Malaysia are using AI tools to improve literature reviews and academic research workflows.

Other institutions are focusing on digital literacy and AI skills.

At Universiti Malaysia Sarawak, hundreds of lecturers and students are receiving AI certifications, while training programmes are expanding across campuses.

Officials believe the combination of AI tools, training and research support will strengthen the education system of Malaysia and prepare graduates for an increasingly AI-driven economy.

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Blockchain and AI security central to US cyber framework

The US National Cyber Strategy emphasises support for emerging technologies, including blockchain, cryptocurrencies, AI, and post-quantum cryptography. The strategy highlights the importance of securing digital infrastructure while advancing technological leadership.

The strategy rests on six pillars, including modernising federal networks, protecting critical infrastructure, and advancing secure technology. Specific sections reference cryptocurrencies and blockchain, noting the need to safeguard digital systems from design to deployment.

Financial systems, data centres, and telecommunications networks are identified as key components of the broader cybersecurity framework. The strategy also stresses collaboration with private-sector technology companies and research institutions to foster innovation and strengthen protections.

AI plays a central role, with measures to secure AI data centres and deploy AI-driven tools for network defence. The plan avoids direct crypto rules but signals greater integration of blockchain and cryptography into national digital infrastructure.

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Every emergency department in New Zealand now uses AI scribes

New Zealand has completed a nationwide rollout of AI scribe technology across all public emergency departments, with approximately 1,250 emergency doctors and frontline staff now using the tool, 250 more than originally announced.

Health Minister Simeon Brown described the achievement as placing New Zealand among the fastest health systems in the world to move from pilot to full frontline AI deployment in emergency departments.

Early results have been striking. At Middlemore Emergency Department in Auckland, 80% of staff surveyed after one month reported improved productivity or efficiency, and 84% said it had a positive impact on their well-being during shifts.

A pilot study found that the tool reduced average documentation time from 17 minutes to 4 minutes, allowing doctors to see 1 additional patient per shift.

Following strong interest from clinicians, Te Whatu Ora is now preparing to procure over 1,000 additional AI scribe licences predominantly for mental health crisis teams, who were involved in early implementation phases, given their role supporting patients presenting in crisis within emergency departments.

The system is also being explored for outpatient clinics, with significant interest already received.

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AI security risks grow as companies integrate AI into daily workflows

AI is rapidly transforming workplaces as companies automate tasks and boost productivity. From writing code to analysing documents, AI tools help employees work faster, but also introduce new AI security and compliance risks.

One of the main concerns is the handling of sensitive information. Employees may upload confidential documents, proprietary code, or customer data into AI chatbots without realising the consequences. Doing so could violate privacy regulations such as the EU’s GDPR or breach internal non-disclosure agreements, making AI security an important priority for organisations.

Another challenge is the reliability of AI-generated content. While large language models can produce convincing responses, they sometimes generate false information, which is a phenomenon known as hallucination. High-profile cases have already shown professionals submitting work with fabricated references generated by AI. Such incidents highlight the need for rigorous AI security and oversight.

Cybersecurity risks are also growing. AI systems rely on complex infrastructure that can become targets for attackers through techniques such as prompt injection, which tricks the model into producing unintended responses, or data poisoning, which involves injecting malicious data into training sets to alter behaviour or outputs. Addressing these threats requires stronger AI security practices and careful monitoring.

When adopting AI, organisations must develop clear policies, strengthen cybersecurity measures, and maintain human oversight. Taking those steps is essential to ensuring that the technology is used safely and responsibly.

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AI tools linked to rise in abuse disclosures

Support organisations in the UK report that some abuse survivors are turning to AI tools such as ChatGPT before contacting helplines. Charities in the UK say individuals increasingly use AI to explore experiences and seek guidance before approaching professional support services.

The National Association of People Abused in Childhood said callers in the UK have recently reported being referred to its helpline after conversations with ChatGPT. Staff say AI is being used as an informal step in processing trauma.

Law enforcement and support groups in the UK have also recorded a rise in disclosures involving ritualistic sexual abuse. Authorities in the UK say only 14 criminal cases since 1982 have formally recognised such practices.

Police and support organisations are responding by improving training and launching specialist working groups. Officials aim to strengthen the identification and investigation of complex cases of abuse.

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People show growing comfort with AI for counselling and teaching

A global survey of nearly 31,000 adults across 35 countries has revealed rising public trust in AI for roles traditionally handled by humans. In the UK, 41% of adults said they would be comfortable using ChatGPT for mental health support, while 61% expressed the same globally.

Experts note the appeal of AI’s non-judgmental tone and 24/7 availability, although cautioning that it cannot replace professional care.

The study also found that a quarter of UK adults would trust AI to teach their children, and 45% of people globally would rely on AI as their doctor.

Researchers warned that overreliance on AI in education could harm memory and cognitive development, potentially affecting the hippocampus, which is critical for learning and spatial awareness.

Trust in AI was strongest in social contexts. Over three-quarters of respondents globally, and more than half in the UK, said they would use AI chat tools as companions or friends.

The research team suggested that adaptive tone and private conversations give users a sense of security and personalised support.

Researchers emphasised the need for greater awareness of AI’s limitations. While generative AI is becoming integrated into daily life, caution is urged, particularly for education and health roles, until the long-term cognitive and social impacts are better understood.

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New AI method improves transparency in computer vision models

Researchers at MIT have developed a new technique designed to improve how computer vision models explain their predictions while maintaining strong accuracy. Transparency is crucial as AI enters fields like healthcare and autonomous driving, where decisions must be clear.

The method uses concept bottleneck models, which enable AI to base its predictions on human-understandable concepts. Traditional approaches rely on expert-defined concepts that can be incomplete or ill-suited, sometimes lowering model performance.

Researchers instead created a system that extracts concepts the AI learned during training. A sparse autoencoder selects key features, and a multimodal language model turns them into plain-language descriptions and labels.

The resulting module forces the AI to make predictions using only those extracted concepts.

Tests on bird classification and medical image datasets showed that the new method improved accuracy and provided clearer explanations. Findings suggest that using a model’s internal concepts can boost transparency and accountability in AI systems.

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