Economic Archives | Page 3 of 654 | Digital Watch Observatory

Blockchain network Tron joins Agentic AI Foundation to advance AI infrastructure

Tron has joined the Linux Foundation’s Agentic AI Foundation (AAIF) as a governing member to support the development of AI agent infrastructure. The network aims to enable collaboration and interoperability among systems that efficiently manage high-volume, low-value transactions.

Founder Justin Sun highlighted Tron’s speed, scalability, and low fees as key advantages for AI-agent use cases. He noted that as AI agents move to mainstream machine-to-machine commerce, transaction volumes could rise, increasing demand for robust blockchain networks.

The AAIF encourages open-source agentic AI development and establishes standards for governance, safety, and interoperability. Tron joins major members like Circle and JPMorgan while building tools and infrastructure to support AI, including the Bank of AI with AINFT.

Tron currently leads in blockchain revenue, with data showing strong performance over 24 hours, seven days, and 30 days. Sun confirmed that AI activity is contributing to this growth, reflecting the rapid adoption and scaling of agentic AI on the network.

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Qualcomm and NEURA Robotics partner to accelerate physical AI and cognitive robotics

NEURA Robotics and Qualcomm have formed a long-term strategic collaboration to advance physical AI and next-generation robotics platforms.

A partnership that aims to bring intelligent robots into real-world environments more rapidly by combining advanced AI processors with full-stack robotic systems.

The cooperation focuses on developing ‘Brain + Nervous System’ reference architectures that integrate high-level cognition, such as perception, reasoning and planning, with ultra-low-latency control systems.

Qualcomm’s robotics processors, including the Dragonwing IQ10 Series, will provide AI compute and connectivity, while NEURA contributes robotic hardware platforms and embodied AI software.

Both companies intend to support deployment across multiple robotic forms, including robotic arms, mobile robots, service machines and humanoid platforms.

NEURA’s cloud environment, Neuraverse, will serve as a shared platform for simulation, training and lifecycle management of robotic intelligence, allowing innovations developed by one robot to spread across entire fleets.

The collaboration also aims to establish a global developer ecosystem for robotics applications. Standardised runtime environments and deployment interfaces are expected to simplify how AI workloads move from development into production while maintaining reliability and safety.

Executives from both companies emphasised that robotics represents one of the most demanding AI environments, as decisions must be made instantly and locally.

By combining edge AI processing with cognitive robotic systems, the partnership aims to accelerate commercial deployment of humanoid and general-purpose robots capable of operating safely alongside humans across industries.

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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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Samsung’s AI smart glasses are coming to take on Meta Ray-Ban

Samsung has confirmed key details about its upcoming AI smart glasses, including a camera positioned at ‘eye level’ and smartphone connectivity, ahead of a planned 2026 launch.

The device is being developed in partnership with Qualcomm and Google, building on the same ecosystem that produced the Galaxy XR headset, and will be powered by Google’s Gemini AI.

Samsung executive Jay Kim indicated that the glasses will be able to understand ‘where you’re looking at’, allowing the AI to analyse objects or scenes in the user’s field of view and provide contextual information in real time.

Processing is expected to take place on a connected smartphone rather than within the glasses themselves, and Samsung has not confirmed whether a built-in display will be included, suggesting multiple versions may be in development.

The announcement puts Samsung on a direct collision course with Meta, whose Ray-Ban Meta Gen 2 glasses are already on the market, offering 3K video recording and up to eight hours of battery life. Meta has also launched the Oakley Meta HSTN glasses, aimed at sports and outdoor users.

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AI biotech firm pushes limits of human lifespan

Longevity research is gaining momentum as AI transforms the way scientists search for new medicines. Insilico Medicine, founded by Alex Zhavoronkov in 2014, combines machine learning and automation to study ageing and accelerate drug discovery.

Company research focuses on identifying biological targets linked to ageing and developing molecules to treat related diseases. Several experimental treatments have already received Investigational New Drug clearance, allowing them to move towards human clinical trials.

Insilico also became the first AI-driven biotech company to list on the Hong Kong Stock Exchange, raising HK$2.28 billion in its public offering. Zhavoronkov said careful financial planning was essential because enthusiasm around AI could still form a market bubble.

Expansion plans now include deeper partnerships across China and the Middle East. A new collaboration in the UAE aims to build regional AI drug discovery programmes and diversify economies beyond oil.

Beyond medicines, Zhavoronkov envisions integrated biotech ecosystems where living spaces, healthcare and research operate together. Such hubs allow scientists and citizens to contribute health data that helps develop future treatments.

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Network Slicing unlocks powerful opportunities for Africa’s 5G future

Accelerating the deployment of standalone 5G networks is the most critical step for enabling network slicing in Africa. Standalone 5G uses cloud-native cores that allow operators to create and manage virtual network slices with guaranteed performance. Many African networks still rely on non-standalone architecture, which limits full slicing capabilities.

Releasing and harmonising mid-band spectrum is another key policy priority. Spectrum in the 3.5 GHz band is particularly important for delivering high throughput and low latency. Without timely spectrum allocation, operators may struggle to support advanced industrial and enterprise applications.

Clear enterprise service frameworks are also essential. Industries such as mining, logistics, and energy require reliable connectivity with strict service-level agreements. Regulators and operators must define transparent pricing models and performance guarantees to support enterprise adoption.

Investment in automation and technical skills will also play a central role. Network slicing relies on AI-driven orchestration, cloud infrastructure, and cybersecurity capabilities. Strengthening technical expertise will help operators manage complex network environments.

Once these policy foundations are in place, network slicing can unlock new business models for telecom providers. Operators can offer slice-as-a-service, allowing enterprises to subscribe to dedicated network segments tailored to specific operational needs.

African telecom companies are already exploring these opportunities. Operators such as MTN, Vodacom, Safaricom, and Telkom are developing enterprise connectivity solutions for sectors including mining, manufacturing, logistics, and energy.

Private 5G deployments in mining operations illustrate the potential value of these services. Dedicated networks support automation, real-time monitoring, and remote equipment management. These projects often involve multi-year contracts worth several million dollars.

Network slicing also enables telecom providers to move beyond traditional consumer data services. Instead of charging primarily for data volume, operators can generate revenue from long-term enterprise connectivity and managed digital services.

As 5G infrastructure expands across the continent, network slicing is expected to play an increasing role in enterprise connectivity. By aligning network performance with industry needs, it could become a key driver of digital transformation in Africa.

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