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5G World Forum 2020 - 5G and AI ML Vertical
For a full list of the papers presented go to:
https://ieee-wf-5g.org/ai-ml-track/
- IEEE MemberUS $50.00
- Society MemberUS $0.00
- IEEE Student MemberUS $25.00
- Non-IEEE MemberUS $100.00
Videos in this product
AI/ML Track Introduction
Welcome to the 2020 5G World Forum. Here's an introduction to the AI/ML Track from Dr. Deepak Kataria
AI-powered radio access networks
AI-powered radio access networks
Ricardo Queirós, Ericsson
Joint channel estimation and soft-symbol detection in massive MIMO systems with low resolution ADCs
Joint channel estimation and soft-symbol detection in massive MIMO systems with low resolution ADCs
Chandra R. Murthy, Indian Institute of Science, Bangalore
ML in 5G and beyond networks
ML in 5G and beyond networks
Henrik Rydén, Ericsson
The AI Revolution in a 5G World
The AI Revolution in a 5G World
Mazin Gilbert, AT&T Labs
"Applying scalable and practical machine learning for real-time programmable optimization in 5G cellular networks "
Applying scalable and practical machine learning for real-time programmable optimization in 5G cellular networks
Rajarajan Sivaraj, Mavenir
Heterogenous Densification of Future Networks
Heterogenous Densification of Future Networks
Navid Abedini, Qualcomm
Enabling Cloud Intelligence for the 5G Edge
Enabling Cloud Intelligence for the 5G Edge
Ken Birman, Cornell University
Advanced AI Applications for 5G
Advanced AI Applications for 5G
Wenting Sun, Ericsson
Machine Learning Enhanced Wireless Communications: Opportunities for 5G and 6G
Machine Learning Enhanced Wireless Communications: Opportunities for 5G and 6G
Harish Viswanathan, Nokia Bell Labs
Practical 5G Use Cases and Machine Learning Adoption
Practical 5G Use Cases and Machine Learning Adoption
Joe Krystofik, Fujitsu Network Communications
5G + AI/ML = Smart World, Addressing Real-World Problems with Smart Technology
5G + AI/ML = Smart World, Addressing Real-World Problems with Smart Technology
Seong-Hwan Kim, Xilinx
High-Bandwidth Low-Latency Applications using AI and Edge Computing Infrastructure – A Snapshot
High-Bandwidth Low-Latency Applications using AI and Edge Computing Infrastructure – A Snapshot
Zoran Kostic, Columbia University, NYC
Distributed intelligence for dynamic resource allocation in 5G networks
Distributed intelligence for dynamic resource allocation in 5G networks
Sayandev Mukherjee and Bernardo Huberman, CableLabs
Responsible AI for Networked Systems
Responsible AI for Networked Systems
Siddhartha Sen, Microsoft Research
The New Ecosystem Orchestrators: 5G and the Rise of Collaborative Connected Solutions
The New Ecosystem Orchestrators: 5G and the Rise of Collaborative Connected Solutions
Joshua Ness, Verizon 5G Labs