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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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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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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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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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Human workers behind AI training raise new privacy concerns

AI systems rely heavily on human labour to train and improve algorithms. Images and videos collected by AI-powered devices are often reviewed and labelled by human annotators so that systems can better recognise objects, environments, and context.

This work is frequently outsourced to data annotation companies such as Sama, which provides training data services for large technology firms, including Meta Platforms. Many of these tasks are carried out by contract workers in Nairobi, Kenya, where employees review large volumes of visual data under strict confidentiality agreements.

Recent investigations have raised concerns about privacy and data governance linked to AI wearables such as the Ray-Ban Meta smart glasses, developed in partnership with EssilorLuxottica. Some device features rely on cloud processing, meaning that captured images and voice inputs may be transmitted and analysed remotely.

Workers involved in the annotation process report regularly encountering sensitive material. Footage can include scenes recorded inside private homes, bedrooms, or bathrooms, as well as images that unintentionally reveal personal or financial information.

These practices raise broader questions about transparency and cross-border data transfers, particularly when data originating in Europe or the United States is processed in other countries. They also highlight the often-hidden human role behind AI systems that are frequently presented as fully automated technologies.

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Sovereign AI becomes a strategic question for governments

Governments across the world are increasingly treating AI as a strategic capability that shapes economic development, public services and national security. Momentum behind the idea of ‘sovereign AI’ is growing as countries reassess who controls the chips, cloud infrastructure, data and models powering modern technology.

Complete control over the entire AI stack remains unrealistic for most economies because of the enormous financial and technological costs involved. Global infrastructure continues to rely heavily on US technology firms, which still operate a large share of data centres and AI systems worldwide.

Policy makers are therefore exploring different approaches to sovereignty across the AI ecosystem rather than pursuing total independence. Strategies range from building domestic computing capacity to adapting global AI models for national languages, regulations and public services.

Several countries already illustrate different approaches. The EU is investing billions in AI infrastructure, Canada protects sensitive computing resources while using global models, and India prioritises applications that serve its multilingual population through public digital systems.

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Data centres’ expansion in London sparks energy and climate debate

London authorities are drafting new data centre policies amid concerns about their environmental impact and rising energy use. City Hall aims to balance the sector’s economic advantages with pressures on electricity, water, and emissions.

The Greater London Authority (GLA) estimates that 10 large data centres generate around 2.7 million tonnes of carbon emissions due to their high electricity consumption. Of the 100 data centres the UK plans, about 60 will be in London.

Megan Life, assistant director for environment and energy at the GLA, told the London Assembly Environment Committee the new strategy aims to ‘keep hold of the kind of economic growth benefits that data centres offer’ while addressing some ‘quite challenging’ impacts linked to their energy use.

Deputy mayor for environment Mete Coban said the expansion of data centres brings both ‘big benefits’ and ‘massive challenges’ for the capital, particularly in terms of energy and water consumption. ‘It’s not just a London problem, it’s going to be a global problem,’ he said, adding: ‘It’s about making sure that our environment doesn’t suffer in the hands of a few global corporations who will take and not give back, so we want to make sure we equitably do this.’

Policymakers are assessing how data centre growth may affect climate goals and urban infrastructure. London Mayor Sadiq Khan has commissioned a study to forecast future expansion. At the same time, UK lawmakers have launched an inquiry into the environmental impact of the sector as demand for cloud computing and AI infrastructure grows.

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Santander and Mastercard complete Europe’s first AI agent payment

Spanish banking giant Banco Santander and Mastercard have completed what they describe as Europe’s first live end-to-end payment executed by an AI agent. The pilot combined Santander’s live payments infrastructure with Mastercard Agent Pay to enable autonomous, permission-based transactions.

Mastercard Agent Pay, launched in April 2025, allows AI agents to initiate and complete payments within predefined consumer limits. The transaction was orchestrated with support from PayOS and integrates Microsoft Azure OpenAI Service and Copilot Studio.

Following the pilot, Santander plans to expand testing and explore new partnerships across agentic commerce use cases. The bank, which manages around €1.84 trillion in assets, is positioning AI as a core driver of innovation.

AI initiatives at Santander are led by chief data and AI officer Ricardo Martín Manjón, hired from BBVA. A strategic partnership with OpenAI has also connected up to 30,000 employees to ChatGPT Enterprise in one of the fastest deployments of its kind.

Global competition in agentic payments is intensifying as Citi, US Bank and Westpac trial Mastercard Agent Pay. Westpac recently completed New Zealand’s first authenticated agentic transaction, while DBS, Visa, Axis Bank and RBL Bank are advancing similar intelligent commerce pilots.

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Cybercriminals shift to stolen credentials and AI-enabled attacks

Ransomware attacks are increasingly relying on stolen passwords rather than traditional malware, according to Cloudflare’s latest annual threat report. Attackers now exploit legitimate account credentials to blend into regular traffic, making breaches harder to detect and contain.

Manufacturing and critical infrastructure organisations account for over half of targeted attacks, reflecting their high operational stakes.

Cloudflare highlighted that AI is enabling attackers to prioritise speed and scale over technical sophistication. Generative AI lets criminals automate fraud, hijacking email threads and targeting a ~$49,000 sweet spot to maximise profit while avoiding scrutiny.

Nation-state actors also leverage legitimate platforms for command-and-control operations, with Russia, China, Iran, and North Korea each following distinct cyber strategies.

Researchers warned that modern ransomware is less a malware crisis and more an identity and access challenge. Attackers using authorised credentials can bypass defences and execute high-impact extortion, marking a significant shift in global threat vectors.

The report urges businesses to strengthen identity security, monitor access, and defend against AI-driven attacks that exploit impersonation and automation at scale.

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