The telecommunications industry is beginning to deploy AI as a tool to boost network efficiency and lower operational costs.
Find out how at this year’s GPU Technology Conference in Silicon Valley, where leading telecommunications providers such as Verizon, Nokia, and NTT Docomo, the predominant mobile phone operator in Japan, will deliver talks on their AI-driven solutions for optimized network performance.
Get dialed into the latest on AI and the telco industry with GTC sessions such as these:
Generative Modeling for Wireless Network Performance Optimization — Bryan Larish, director of technology at Verizon, explores the application of generative modeling approaches for network simulation and performance optimization.
Secure and Efficient Image Recognition Applications on a 5G Network — Toshiki Sakai, a data scientist at NTT Docomo, discusses how to leverage 5G features, such as low latency and high data-rate telecommunication, to develop surveillance-camera recognition, adaptive digital signage, and image recognition for retail companies.
TensorCore Optimized DNN for Efficient Low Latency Inference for 5G Networks — Tero Rissa, a chief architect of machine learning at Nokia, examines the challenges presented by the computational capacity of modern GPU architectures and shares Nokia’s approach to improving the use of computation capacity available in NVIDIA Tensor Cores.
Manish Harsh, who leads developer relations for telecoms at NVIDIA, relays other great reasons to attend GTC, the world’s premier AI conference: