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Sep 2, 2024

Driving Energy Efficiency in Open RAN: Net AI’s Partnership with Digital Catapult

<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*yEAjUjcuUz_A3MhBdYRhGA.jpeg"></figure><h3>Open RAN and its benefits</h3> <p>Net AI, alongside four other innovators, has partnered with Digital Catapult to develop and test energy efficiency solutions for Open RAN (O-RAN) networks. Open RAN is a modern approach in telecommunications that promotes interoperability by utilizing ope...

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Jul 9, 2024

Why AI is a #GameChanger for Telco

<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*u1Ho3FVyCuZ44pcfITdaBw.jpeg"><figcaption>Photo from DTW — Ignite summit in Copenhagen</figcaption></figure><p>In the dynamic world of telecommunications, which provide connectivity that is the lifeblood of modern society, the integration of Artificial Intelligence (AI) is heralding a new era of efficiency, sustainability, and inn...

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Jun 12, 2024

AI in Mobile Networks: How to spot the snake oil from the real deal

<p><strong>AI in Mobile Networks: How to spot the snake oil from the real deal</strong></p> <p>AI is changing the way we look at our world and businesses. In an age where spiralling energy prices, climate change and the demand for unlimited, seamless connectivity has us in a constant crisis, we believe AI is our greatest ally.</p> <p>Integration of AI into networks has shifted from a speculative ...

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May 31, 2024

Trending for Summer ’24: AI in Telcos as an Ally for Impact

<p><strong>Using AI for a Sustainable Telecom Future</strong></p> <p>Did you know that the telecom sector is responsible for around 2% of global carbon emissions? A whopping 80% of this comes from radio access networks (RANs), which also account for 20–40% of network operating expenses. But here’s the good news: Artificial Intelligence (AI) is stepping in as the superhuman tech required for susta...

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Jun 21, 2023

Harnessing AI-driven traffic forecasts to reduce network energy consumption by 50% without…

<h3>Harnessing AI-driven traffic forecasts to reduce network energy consumption by 50% without impacting user experience</h3> <p>Improving the energy efficiency of mobile networks is critical, both from an operational expenditure standpoint (given the rising electricity prices) and from an environmental perspective (industries have ambitious goals to reduce their CO2 footprint in the face of the ...

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May 17, 2023

The Leading Role of AI in the O-RAN Revolution

<p>In the 5G era, capital expenditure (CAPEX) and operating expenditure (OPEX) are dramatically increasing. Driven by exponentially increasing traffic demands and with mobile networks pressured to become more energy efficient, changes need to be made to ensure networks adapt to these challenges whilst retaining high quality of service.</p> <p><strong>Enter the O-RAN Universe</strong></p> <p>In th...

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Apr 12, 2023

Cutting the Time of Building Neural Models through Distributed Training

<p>One must experience being locked in a trance watching the hypnotically slow updates of a progress bar to truly know the pain of long-running compute jobs. Luckily for most of us in the machine learning space, there is a simple way to reduce this headache: distributed training on multiple GPUs. While incurring a higher capital expenditure, due to the extra hardware required, faster experiment i...

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Apr 6, 2023

Driving Energy Efficiency in 5G Networks Using AI

<p>5G infrastructures will consume significantly more power than the 4G systems they replace. This is in part due to the inexorable growth of user data supported by the much greater capacity available through 5G technologies, but also due to the larger number of base stations deployed to support this capacity. As a result, over 90% of leading mobile network operators have expressed concerns about...

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Apr 6, 2023

Harnessing the power of AI to enhance Deep Packet Inspection capabilities

<p>Decomposition is a novel technology for service-level traffic stream quantification, which complements and enhances current traffic classification solutions that are heavily based on Deep Packet Inspection (DPI).</p> <p>Examining network traffic through DPI can be expensive, as it requires high-performance computing platforms or dedicated hardware to process individual packets at ever increasi...