{"id":37825,"date":"2022-01-26T15:26:02","date_gmt":"2022-01-26T14:26:02","guid":{"rendered":"https:\/\/www.monitor-radiotv.it\/w\/?post_type=event&p=37825"},"modified":"2022-02-07T10:46:28","modified_gmt":"2022-02-07T09:46:28","slug":"rohde-schwarz-the-role-of-ai-ml-in-future-wireless-communication-an-early-test-measurement-perspective","status":"publish","type":"event","link":"https:\/\/www.monitor-radiotv.it\/w\/event\/rohde-schwarz-the-role-of-ai-ml-in-future-wireless-communication-an-early-test-measurement-perspective\/","title":{"rendered":"Rohde & Schwarz: The role of AI\/ML in future wireless communication \u2013 an early test & measurement perspective"},"content":{"rendered":"
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Webinar in inglese<\/strong><\/p>\n

10 febbraio 2022 09:00 – 10:00\u00a0<\/strong>
\n10 febbraio 2022 14:00 – 15:00
\n10 febbraio 2022 19:00 – 20:00\u00a0<\/strong><\/p>\n

Il ruolo della Intelligenza Artificiale (AI) e la Machine Learning (ML) nella comunicazione wireless del futuro<\/strong><\/p>\n

Artificial intelligence<\/strong> (AI) in the form of machine learning<\/strong> (ML) accompanies the user of a state-of-the-art wireless device daily. It has achieved tremendous success in image identification, video recognition and natural language processing, to name just a few examples. However, for the next generation of wireless communication, aka 6G, researchers propose AI\/ML models and algorithms that natively drive the air interface by replacing individual or even multiple blocks of the signal processing chain. An AI-native interface with self-optimizing transceivers would, at least in theory, provide significant performance gains even under extreme radio channel conditions. Yet this potential revolution also implies substantial challenges from a design and testing perspective. This webinar will introduce the attendees to the ongoing fundamental research, discuss related challenges and how test and measurement solutions can accompany this research.<\/p>\n

In this webinar, you will learn:<\/p>\n