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Home » Nokia Bell Labs: From the Origins of AI to Automated Networking

Nokia Bell Labs: From the Origins of AI to Automated Networking

March 5, 2024
in Video
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Bell Labs conducted pioneering work in Convolutional Neural Networks, a class of deep neural networks that are particularly powerful for processing data with a grid-like topology, such as images.  This foundational work on CNNs can be traced back to the 1980s and early 1990s, with one of the key figures being Yann LeCun. 

Bell Labs is also recognized for its pioneering work in networking, beginning with Claude Shannon, also known as the “father of information theory,” who published “A Mathematical Theory of Communication” while at Bell Labs.

In this short video, Thierry E. Klein, President of Solutions Research from Nokia, highlights:

– The role of AI in the entire lifecycle of a network, from its design to deployment, operation, improvement, and maintenance. He discusses how AI can be used for predictive maintenance to anticipate equipment failures and ensure uninterrupted traffic.

– The application of AI in industrial automation, data analytics, and robotics. He also explores the potential of running sophisticated AI algorithms on end devices, such as wearable tech, despite their compute and battery limitations.

– The development of specific language models for enterprise use. He shares about Nokia’s language model, trained on 20,000 Nokia documents, which performs exceptionally well in a specific context and can be augmented with customer-specific information. 

Like our videos? Want to participate? Contact info@nextgeninfra.io

Check out complete MWC Barcelona 2024 Showcase at: https://ngi.fyi/mwc24yt

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Jim Carroll

Jim Carroll

Editor and Publisher, Converge! Network Digest, Optical Networks Daily - Covering the full stack of network convergence from Silicon Valley

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