首页|Reports Outline Machine Learning Findings from Telecom Paris (Operationalizing A i/ml In Future Networks: a Bird’s Eye View From the System Perspective)
Reports Outline Machine Learning Findings from Telecom Paris (Operationalizing A i/ml In Future Networks: a Bird’s Eye View From the System Perspective)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting out of Paris, France, by News Rx editors, research stated, “Modern artificial intelligence (AI) technologies, led by machine learning (ML), have gained unprecedented momentum over the past d ecade. Following this wave of ‘AI summer,’ the network research community has al so embraced AI/ML algorithms to address many problems related to network operati ons and management.” Our news journalists obtained a quote from the research from Telecom Paris, “How ever, compared to their counterparts in other domains, most ML-based solutions h ave yet to receive largescale deployment due to insufficient maturity for produc tion settings. This article concentrates on the practical issues of developing a nd operating ML-based solutions in real networks. Specifically, we enumerate the key factors hindering the integration of AI/ML in real networks, and review exi sting solutions to uncover the missing components. Further, we highlight a promi sing direction, that is, machine learning operations (MLOps), that can close the gap.”
ParisFranceEuropeCyborgsEmerging TechnologiesMachine LearningTelecom Paris
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