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Seminar on Internet Technologies (Summer 2019): Difference between revisions
Seminar on Internet Technologies (Summer 2019) (view source)
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| [https://dl.acm.org/citation.cfm?id=3210042] | | [https://dl.acm.org/citation.cfm?id=3210042] | ||
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| '''Network Meets AI & Machine Learning''' | | '''Network Meets AI & Machine Learning (assigned to hamed roknizadeh)''' | ||
| AI & ML have been successfully applied to various perceptual domains, including computer vision, natural language processing, and voice recognition. In addition, ML techniques are showing impressive results in new domains such as medicine, finance, and astronomy, to name a few. This success in non-perceptual domains suggests that ML techniques could be successfully applied to simplify network management. For at least a decade, networking researchers, equipment vendors, and Internet service providers alike have argued for “autonomous” or “self-driving” networks, where network management and control decisions are made in real time and in an automated fashion. Yet, building such “self-driving” networks that are practically deployable has largely remained unrealized. | | AI & ML have been successfully applied to various perceptual domains, including computer vision, natural language processing, and voice recognition. In addition, ML techniques are showing impressive results in new domains such as medicine, finance, and astronomy, to name a few. This success in non-perceptual domains suggests that ML techniques could be successfully applied to simplify network management. For at least a decade, networking researchers, equipment vendors, and Internet service providers alike have argued for “autonomous” or “self-driving” networks, where network management and control decisions are made in real time and in an automated fashion. Yet, building such “self-driving” networks that are practically deployable has largely remained unrealized. | ||
| The student should be at least familiar with machine learning and AI | | The student should be at least familiar with machine learning and AI | ||