Nokia focuses on specialized AI for communications, increasing accuracy and efficiency
At MWC 2024, Nokia highlighted the development of specialized private language models targeted at the telecommunications sector to address specific needs and enhance network operations. Beyond the generalist approach of platforms like Chat GPT, Nokia is creating customized AI solutions to more accurately understand its products and customer environments. These models are designed as internal and customer products with a focus on automation, service provisioning, and operational optimization. This approach reflects a broader industry trend toward private models trained on proprietary data, promising more relevant applications and efficiency in AI deployment. Furthermore, Nokia believes that AI will play a key role in future network development and operations, making the deployment and management of 6G networks fundamentally different from his 5G, including optimizing performance and reducing energy consumption. It is envisaged that the benefits may be obtained.
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Global coalition supports safe 6G principles
A coalition of 10 governments, including the US, UK, Australia, Canada, and several countries in Europe and Asia, agrees to a set of principles aimed at guiding the development of secure and resilient 6G networks. did. The move is seen as a step to exclude Chinese tech giants such as Huawei and ZTE from future 6G infrastructure under the guise of national security and cybersecurity needs. The principles focus on security, privacy, interoperability, affordability, sustainability, and supply chain resilience. The alliance encourages other countries to adopt these guidelines, calling them critical to a safe, inclusive and sustainable technology future, while implicitly challenging the credibility of China’s 6G technology. It is positioned as something.
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IBM and GSMA launch AI training initiative to close telecom industry skills gap
IBM, in collaboration with the GSMA, has launched an AI training and skills development initiative to address the emerging “AI gap” between large and small carriers. Announced at MWC 2024, the program leverages IBM’s watsonx platform to equip communications industry leaders with the knowledge and skills they need in the age of AI. The initiative includes the GSMA Advance AI training program and the GSMA Foundry Generative AI program, offering courses at his IBM offices around the world and offering online programs in multiple languages. IBM’s efforts aim to prevent adoption gaps by educating executives, especially small businesses and emerging markets, about the potential of generative AI, strategic considerations, and technology architecture choices. This initiative is seen as an important step to enable telecommunications companies to exploit the creative potential of AI to explore new revenue streams and recover their investments, especially in the field of 5G. .
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Qualcomm unveils Snapdragon X80 for 5G Advanced with enhanced connectivity and AI capabilities
Qualcomm has announced its latest modem chip, the Snapdragon X80, taking an important step towards the introduction of 5G advanced smartphones. Described as “Release 18 Ready,” the X80 integrates support for NB-NTN and his six-antenna architecture, enhancing connectivity and data speeds. It introduces carrier aggregation (CA), which can deliver downlink speeds of up to 10 Gbps and supports up to six component carriers (6CC). This innovation addresses the current lack of devices that can take advantage of 6CC CA and promises to improve the user experience with faster speeds and improved network efficiency. Qualcomm aims to launch its first Snapdragon X80-powered devices later this year, targeting a wide range of applications from smartphones to industrial IoT. Qualcomm has solidified its leadership in modem technology with advanced AI features that improve performance and efficiency, despite facing competition from companies such as MediaTek, Samsung, and Apple.
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