Opportunities and challenges for AI in 5G and beyond

This video program is a part of the Premium packages:

Opportunities and challenges for AI in 5G and beyond


  • IEEE MemberUS $1.00
  • Society MemberUS $0.00
  • IEEE Student MemberUS $1.00
  • Non-IEEE MemberUS $2.00
Purchase

  • IEEE MemberUS $50.00
  • Society MemberUS $0.00
  • IEEE Student MemberUS $25.00
  • Non-IEEE MemberUS $100.00
Purchase

Opportunities and challenges for AI in 5G and beyond

0 views
  • Share

Artificial Intelligence (AI) is revolutionizing industries, products, and core capabilities by delivering dramatically enhanced experiences. Some good opportunities may lie ahead at all layers including the PHY, MAC, networking and overall system level optimizations. The field of AI, especially deep learning, is filled with tremendous opportunity for exploration and improvement. For instance, deep neural networks of today are rapidly growing in size and use too much memory, compute, and energy. To make AI truly ubiquitous, it needs to run on the end device within a tight power and thermal budget. New approaches and fundamental research in AI, as well as applying that research, is required to advance machine learning further and speed up adoption. In this topic we will discuss opportunities and challenges for AI in 5G and beyond.

Opportunities and challenges for AI in 5G and beyond

Dr. Vinosh Babu James, Associate Director, Standards, Qualcomm

Advertisment

Advertisment