.navigation .global-nav .nav-header-container .brand-container .da-container { vertical-align: top; } Telecommunications Summit | Oct 11 | GTC EU 2018

AI IN 5G MEETUP
11 October

AI IS TRANSFORMING TELECOMMUNICATIONS

Connect with artificial intelligence (AI) and Telecommunications experts to explore the latest breakthroughs for the industry. With sessions on AI for Telecoms, NVIDIA's initiatives, and interactive discussions on AI and machine learning inference in the 5G era, you cannot afford to miss this event.

AGENDA

Thursday 11 October

 

11:15            Special Update: AI in Telecoms, NVIDIA Platform and Ecosystem (H4 Hotel)

Join us for an overview on NVIDIA initiatives in the Telecommunications Industry. Special update on AI at the edge and its value proposition for 5G and Autonomous Machines. Learn how to leverage NVIDIA developer assets and tools for Telecoms ecosystem.

12:00            Working Lunch (H4 Hotel)

12:25            AI and ML Inference in the 5G Era (H4 Hotel)

Join us for an interactive panel discussion on AI Inference in the era of 5G. Learn about NVIDIA GPU, NVIDIA Software stacks, Inference use cases, challenges in 5G, innovation required.

13:30            Machine Learning Enabled 5G Wireless Networks: GPU Convex Feasibility Solvers (Room 14a, ICM)

In current wireless networks, most algorithms are iterative and may not be able to meet the requirements of some 5G technologies such as ultra-reliable low-latency communication within a very low latency budget. For instance, requiring end-to-end latency below 1ms, many signal processing tasks must be completed within microseconds. Therefore, only a limited number of iterations can be performed, which may lead to uncontrollable excessive errors. We highly recommend formulating the underlying optimization problems as convex feasibility problems in order to enable massive parallel processing on GPUs for online learning and vigorous tracking. Moreover, convex feasibility solvers allow for an efficient incorporation of context information and expert knowledge can provide robust results based on relatively small data sets. Our approach has numerous applications, including channel estimation, peak-to-average power ratio (PAPR) reduction in Orthogonal Frequency Division Multiplexing (OFDM) systems, radio map reconstruction, beam forming, localization, and interference reduction. We'll demonstrate how they can benefit greatly from the parallel architecture of GPUs.

14:30            An Efficient CUDA-Accelerated Machine Learning Inference for 4G and 5G Radio Networks (Room 14a, ICM)

We're describing the design of scalable CUDA-based service framework for ML model inference tasks to efficiently distribute such workloads across a cluster of dedicated GPU-based servers. These servers can also be easily integrated with existing telecom cloud infrastructure. In telecom data centres, ML models are increasingly being deployed for use cases such as automation, analytics and anomaly detection. Handling diverse datatypes and request rates ranging between hours and milliseconds can become a challenge with a legacy CPU-dominated cloud environment.

16:00            Connect with Experts (H4 Hotel)

Network with AI and Telecommunications experts.

                    

DISCOVER THE LATEST 5G BREAKTHROUGHS

At our AI in 5G Meetup, discover the latest research in 5G algorithms from the experts at NVIDIA, Technical University of Berlin, and the Heinrich Hertz Institute.

We’re showcasing cutting-edge developments unifying deep learning, compressive sensing, and bandwidth saving in communication—all supported by solid mathematics. Be sure to check-out our latest demo showing how to reconstruct improved classifications via constructed neural networks.

2018 SPEAKERS

NVIDIA
Global IBD - Telecommunications

Special Update: AI in Telecoms, NVIDIA Platform and Ecosystem

DEEPU TALLA

NVIDIA
Vice President and General Manager of Autonomous Machines

Special Update: AI in Telecoms, NVIDIA Platform and Ecosystem

NVIDIA
Developer Relations - Global Telecoms

Special Update: AI in Telecoms, NVIDIA Platform and Ecosystem

Connect with Experts

TECHNICAL UNIVERSITY BERLIN AND FRAUNHOFER HEINRICH-HERTZ-INSTITUTE BERLIN
Professor

AI and ML Inference in the 5G Era

Machine Learning Enabled 5G Wireless Networks: GPU Convex Feasibility Solvers

NVIDIA
Director of Research

AI and ML Inference in the 5G Era

NOKIA
Chief Architect, Machine Learning

AI and ML Inference in the 5G Era

An Efficient CUDA-Accelerated Machine Learning Inference for 4G and 5G Radio Networks

NVIDIA
Solution Architect

Connect with Experts

NVIDIA
Senior Director of Product Management

AI and ML Inference in the 5G Era

NVIDIA
Head Solution Architect Autonomous Driving

Connect with Experts

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