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AI is playing a key role in telecom security by strengthening threat detection, fraud prevention, and regulatory compliance. As 5G, IoT, and edge computing expand, telecom networks face cyber threats such as AI-specific attacks, network intrusions, and data breaches. AI-powered security solutions provide automated threat response, anomaly detection, and AI lifecycle protection, helping telecom providers maintain a secure and resilient network infrastructure.
Broadband leaders and utility companies, including CTA, NCTA, and PG&E, have extended the Voluntary Agreement for Small Network Equipment through 2028. The initiative has already improved home internet device energy efficiency by 89% since 2015, and new targets aim for an additional 10% reduction by 2026. With compliance from major ISPs and device manufacturers, this industry-led effort is making home broadband more sustainable while enhancing performance.
AI is transforming the relationship between telcos and hyperscalers like AWS, Google Cloud, and Microsoft Azure. With AI-driven automation, cloud-native networks, and edge computing, telecom operators are optimizing efficiency, reducing costs, and unlocking new revenue streams. As AI-powered innovations reshape 5G, cybersecurity, and digital services, these strategic partnerships are set to redefine the future of telecom.
The FCCโ€™s proposed CBRS changes are facing backlash from 25 organizations, including Amazon, Comcast, and Lockheed Martin, who argue that increased power levels and relaxed emissions limits would harm rural broadband, private networks, and competition. The proposal risks turning CBRS into a high-power cellular band, benefiting major carriers at the expense of small businesses, industrial users, and public access initiatives. As the debate intensifies, the future of CBRS and its diverse ecosystem remains uncertain.
EE has deployed the UKโ€™s first 5G Standalone (SA) network at Wembley Stadium, setting a new benchmark for sports venue connectivity. This upgrade delivers faster speeds, ultra-low latency, and enhanced capacity, ensuring seamless live streaming, mobile transactions, and digital fan experiences. As part of EEโ€™s nationwide 5G expansion, this deployment paves the way for smart stadium innovations and next-generation event experiences.
The future of energy management is here! Distributed Energy Resource Management Systems (DERMS) are revolutionizing the way we integrate renewable energy, enhance grid stability, and drive sustainability. With a projected market growth from $440.4M in 2022 to $1.9B by 2031, DERMS is a game-changer for utilities, businesses, and policymakers. Discover how DERMS optimizes energy flow, balances supply and demand, and overcomes modern energy challenges. Stay ahead of the curveโ€”read more now! #DERMS #RenewableEnergy #SmartGrid #Sustainability
Celona and stc Group have announced a strategic partnership to expand private 5G adoption in Saudi Arabia, Kuwait, and Bahrain. This initiative enhances business efficiency through secure, scalable, and high-performance wireless connectivity. Designed for industries like oil and gas, logistics, manufacturing, and mining, the solution addresses key challenges of traditional networks, reducing operational costs and driving digital transformation.
LCRA and Ericsson are set to transform Texasโ€™ utility sector with a private LTE network spanning 68 counties. This initiative strengthens cybersecurity, improves real-time communications, and enhances grid reliability. By leveraging Ericssonโ€™s 5G-ready technology, LCRA ensures a future-proof infrastructure for mission-critical operations, benefiting electric cooperatives, municipalities, and other essential services.
Recent advancements in artificial intelligence training methodologies are challenging traditional assumptions about computational requirements and efficiency. Researchers have discovered an “Occam’s Razor” characteristic in neural network training, where models favor simpler solutions over complex ones, leading to superior generalization capabilities. This trend towards efficient training is expected to democratize AI development, reduce environmental impact, and lead to market restructuring, with a shift from hardware to software focus. The emergence of efficient training patterns and distributed training approaches is likely to have significant implications for companies like NVIDIA, which could face valuation adjustments despite strong fundamentals.
Rule-based AI agents operate on predefined rules, ensuring predictable and transparent decision-making, while LLM-based AI agents leverage deep learning for flexible, context-aware responses. This article compares their key features, advantages, and use cases to help you choose the best AI solution for your needs.

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Explore the collaboration between Purdue Research Foundation, Purdue University, Ericsson, and Saab at the Aviation Innovation Hub. Discover how private 5G networks, real-time analytics, and sustainable innovations are shaping the "Airport of the Future" for a smarter, safer, and greener aviation industry....
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Explore how Generative AI is transforming telecom infrastructure by solving critical industry challenges like massive data management, network optimization, and personalized customer experiences. This whitepaper offers in-depth insights into AI and Gen AI's role in boosting operational efficiency while ensuring security and regulatory compliance. Telecom operators can harness these AI-driven...
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This article explores the deployment of 5G NR Transparent Non-Terrestrial Networks (NTNs), detailing the architecture's advantages and challenges. It highlights how this "bent-pipe" NTN approach integrates ground-based gNodeB components with NGSO satellite constellations to expand global connectivity. Key challenges like moving beam management, interference mitigation, and latency are discussed, underscoring...

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