Telecommunications infrastructure Archives | Page 6 of 121

Ericsson completes first pre-standard 6G OTA session in US

Ericsson has completed the world’s first pre-standard 6G over-the-air session in the United States, marking a milestone toward commercial 6G networks. The trial took place in Plano, Texas, using a pre-standard system built on an AI-native, cloud-based architecture.

The demonstration validated core 6G building blocks, including radio hardware, RAN Compute, software-defined air interfaces and cloud platforms. Ericsson said its software architecture is deployable across CPU and GPU hardware environments.

The trial used spectrum in the 7GHz range with 400 MHz carrier bandwidth and focused on uplink performance, energy efficiency and spectral utilisation. The system included Ericsson radios, baseband platforms and cloud-native software.

According to the company, the test demonstrated capabilities to support AI-driven applications, such as robotics, that require real-time control and high-quality video streaming. Future 6G networks are expected to deliver consistent low latency and enhanced uplink capacity for advanced AI services.

Ericsson said the milestone strengthens US participation in global standards development, including 3GPP and Open RAN. The company plans to expand trials across additional spectrum bands while building on its US research and manufacturing footprint.

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Deutsche Telekom and Nokia advance open and AI-native RAN

Nokia and Deutsche Telekom have expanded their collaboration to advance cloud-based, disaggregated, and AI-native RAN technologies. The strengthened Innovation Cooperation Program deepens joint work in Cloud RAN, open interfaces, and next-generation solutions.

The partnership builds on years of cooperation focused on open and flexible architectures. Both companies said the expanded effort aims to improve network efficiency, programmability, and long-term operational value for service providers.

Work on Open Fronthaul integration is being intensified following earlier multivendor deployments in Germany linking Nokia baseband units with O-RAN-compliant radios. Additional integrations covering Open Fronthaul and Cloud RAN are progressing within confidential development programmes.

The companies are also advancing O-RAN-aligned management capabilities through open O1 interfaces and deeper integration of configuration management. A vendor-independent Service Management and Orchestration platform remains central to Deutsche Telekom’s multivendor RAN strategy.

Nokia will act as Deutsche Telekom’s strategic co-creation partner for AI-native RAN development. Joint efforts will focus on AI-powered receivers, adaptive beamforming, predictive optimisation, and lab and field validation to support intelligent, autonomous mobile networks.

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Claws become the new trend in local agentic AI

A new expression has entered the AI vocabulary, with ‘claws’ becoming the latest term to capture the industry’s imagination.

The term refers to a growing family of open-source personal assistants designed to run locally on consumer hardware, often on Apple’s compact Mac mini rather than on cloud-based servers.

These assistants can access calendars, email accounts, coding tools, browsers and external model APIs, enabling them to carry out complex digital tasks autonomously.

Interest increased after AI researcher Andrej Karpathy described his experiments with claws, prompting broader attention across online communities.

Many users have begun adopting the tools as lightweight agentic systems capable of handling real work, from scheduling meetings to writing software overnight by linking to models from providers such as OpenAI.

The name originated with Clawdbot, which was recently rebranded as OpenClaw and became a prominent example in Silicon Valley.

A wave of variants, including NanoClaw, ZeroClaw and IronClaw, has followed, marking a surge in locally run assistants that appeal to users seeking greater autonomy, privacy and experimentation.

Growing enthusiasm for claws highlights a wider shift towards agentic AI running directly on personal devices.

Whether these systems become mainstream or remain a niche developer trend, they show how quickly the AI landscape can evolve and how new concepts often spread long before they fully mature.

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Quantum-safe security upgrades SIM and eSIM cards

Thales has successfully demonstrated a world-first capability that prepares 5G networks for the era of quantum computing. The test proved that SIM and eSIM cards can be remotely upgraded to support post-quantum cryptography, boosting security without disrupting services or user experience.

The breakthrough highlights the potential of crypto-agile networks to evolve securely as quantum threats emerge.

Replacing millions of devices is impractical, so Thales enables operators to deploy quantum-safe algorithms directly to existing devices. Remote upgrades preserve data and connectivity while instantly boosting security, keeping 5G networks resilient and trusted.

The demonstration reinforces Thales’ leadership in post-quantum cryptography, with dedicated research teams developing quantum-resistant methods and contributing to international standards, including NIST initiatives.

Operators can now protect long-term investments, secure critical services, and prepare for the next generation of quantum computing without operational disruptions.

Thales’ approach offers a practical roadmap for telecoms to adopt quantum-safe security today, ensuring continuity, trust, and resilience across mobile networks as digital threats evolve.

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Cloud-native networks drive AI connectivity

Mobility is emerging as the digital economy’s backbone, with Cisco outlining its latest strategy at Mobile World Congress. Cloud-native, programmable networks are being framed as platforms that enable new revenue models while reducing operational complexity across industries and cities.

Recent updates focus on the Cisco Mobility Services Platform, plus IoT-as-a-service and a programmable core built to scale global networks.

Partnerships with operators such as AT&T, Tele2 IoT, and Wind Tre Group aim to speed up enterprise connectivity and reduce deployment times for industrial use cases.

Preparation for the AI era remains a core theme. Collaboration with NVIDIA focuses on embedding intelligence into wireless infrastructure while ensuring networks can support distributed AI workloads with low latency and predictable performance.

Ecosystem expansion includes joining the Linux Foundation initiative, while industry rankings signal momentum as operators move toward 5G Advanced and AI-native networks.

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Reddit surges as AI search drives a new era of online discovery

AI-generated search summaries are reshaping online discovery and pushing Reddit to the forefront of global information flows.

The rise of Google’s AI Overview feature places curated AI summaries above traditional search results, encouraging users to rely on machine-generated syntheses instead of browsing lists of websites.

Reddit’s visibility surged after the platform agreed to data access partnerships with Google and OpenAI, enabling large language models to train on its vast archive of human conversations.

The platform’s user-generated discussions are increasingly prioritised because they provide commentary viewed as more neutral and less commercially influenced.

Research from Profound identifies Reddit as the most cited source across major AI platforms. Reddit’s rapid expansion reflects such a shift.

It has overtaken TikTok in the UK, according to Ofcom and now reports 116 million daily active users and more than one billion monthly users.

Communities built around niche interests, combined with voting systems and karma-driven credibility, create a structure that appeals to AI systems searching for grounded, human-authored content.

The platform’s design, centred on subreddits run by volunteer moderators, reinforces trust signals that large models can evaluate when generating AI Overview results.

As AI-powered search becomes the dominant interface for navigating the internet, Reddit’s role as a primary corpus for training and citation continues to expand, reshaping how people discover and verify information.

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Singapore and South Korea expand AI partnership

South Korean President Lee Jae Myung used the opening day of his state visit to Singapore to set out plans for deeper cooperation in emerging technologies and renewable energy.

He framed the partnership as a chance to build a future-oriented agenda shaped by a shared reliance on human capital rather than natural resources.

The visit precedes a summit with Lawrence Wong, their second meeting in four months following the upgrade of bilateral ties to a strategic partnership. Both governments want to broaden collaboration across AI, energy, the green transition and defence while maintaining strong trade and investment links.

Lee told Korean residents in Singapore that the strengthened partnership could guide relations for the next fifty years by opening new routes for collaboration across strategic sectors. He added that expanding cooperation would support wider regional stability and long-term technological development.

The programme also includes a meeting with Tharman Shanmugaratnam and attendance at AI Connect. This forum connects business leaders and entrepreneurs from both countries seeking opportunities in AI research and commercial innovation.

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OpenAI and Microsoft strengthen their long-term AI collaboration

Microsoft and OpenAI have reaffirmed their long-standing collaboration after new funding and partnerships raised speculation about their relationship.

Both firms stressed that recent announcements leave their original agreements intact, preserving a framework built on technical integration, trust and shared ambitions for AI development.

Microsoft’s exclusive licence to OpenAI’s intellectual property remains untouched, as does its position as the sole cloud provider for stateless APIs powering OpenAI models.

These APIs can be accessed through either company. Yet all such calls, including those arising from third-party partnerships such as OpenAI’s work with Amazon, continue to run on Azure rather than on alternative clouds. OpenAI’s own products, including Frontier, also stay hosted on Azure.

Revenue-sharing arrangements are unchanged, alongside the contractual definition and evaluation process for artificial general intelligence.

Both companies emphasised that the partnership was designed to allow independent initiatives while preserving deep cooperation across research, engineering and product innovation.

OpenAI retains the freedom to secure additional compute capacity elsewhere, supported by large-scale initiatives such as the Stargate project.

Even with broader collaborations emerging across the industry, both firms present their alliance as central to advancing responsible AI and expanding access to powerful tools worldwide.

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OpenAI expands London research hub

OpenAI is turning its London office into its largest research hub outside the US, marking a strategic shift towards deeper engagement with the UK’s rapidly developing AI landscape. The move places the company in direct competition with Google DeepMind for scientific talent.

An expansion that strengthens OpenAI’s long-term presence in Europe by building a substantial research base rather than relying on satellite operations. The firm aims to attract researchers seeking strong academic links, regulatory clarity and access to the UK’s growing AI ecosystem.

The enlarged London team is expected to support frontier model development and experimental work that aligns with OpenAI’s international ambitions. Senior leadership framed the decision as a vote of confidence in the UK’s capacity to become one of the most influential centres for advanced AI research.

The announcement intensifies debate over global competition for expertise, as major labs seek locations that balance research freedom with responsible oversight.

OpenAI’s investment signals a belief that the UK can offer such conditions while positioning itself as a key player in shaping the next generation of AI capabilities.

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Agentic AI network slicing launches in 5G Advanced with Nokia and AWS

Nokia and Amazon Web Services have introduced what they describe as the first agentic AI-powered network slicing solution operating in commercial 5G-Advanced networks. Early pilot projects with du and Orange are already underway, marking the transition from laboratory testing to commercial deployment.

For an extended period, network slicing has been presented as a way to tailor connectivity to the needs of enterprises and end users, yet static configurations have until now limited its commercial impact. A more autonomous approach is now being tested, designed to convert operational intent directly into concrete network actions.

The joint system combines Nokia’s network slicing portfolio with AI services delivered via the Amazon Web Services (AWS) Bedrock platform. Software agents analyse real-time data, including traffic levels, location information, and significant events, and automatically adjust radio access network policies. However, this enables capacity to be prioritised in response to congestion, emergencies, or large gatherings.

Enterprise use is central to the deployment. Campuses, factories, and urban areas can receive connectivity aligned with predefined service level targets (SLAs), while public safety teams can activate dedicated network slices during critical incidents. Premium consumer services, such as gaming and streaming, may also benefit from more stable performance during peak demand periods.

The solution spans the radio, transport, and core networks and will be showcased at the Mobile World Congress 2026. Commercial success will depend on whether intent-based slicing can transform what has long been a promised feature into a sustainable and scalable revenue source for operators.

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