What You Need to Know Before
You Start

Starts 8 June 2025 06:31

Ends 8 June 2025

00 days
00 hours
00 minutes
00 seconds
course image

The AI Revolution in Communications: Large Language Models and Beyond - Our Digital Life Episode 3

Explore how AI and Large Language Models are transforming telecommunications with insights from Professors Lasaucle and Debbah on network optimization, communication protocols, and automation in the evolving wireless landscape.
IEEE Signal Processing Society via YouTube

IEEE Signal Processing Society

2544 Courses


50 minutes

Optional upgrade avallable

Not Specified

Progress at your own speed

Free Video

Optional upgrade avallable

Overview

Explore how AI and Large Language Models are transforming telecommunications with insights from Professors Lasaucle and Debbah on network optimization, communication protocols, and automation in the evolving wireless landscape.

Syllabus

  • Introduction to AI in Telecommunications
  • Overview of AI applications in the communications industry
    Key trends and developments in AI technologies
  • Understanding Large Language Models (LLMs)
  • Fundamentals of LLMs and their architecture
    Applications of LLMs in telecommunications
  • Network Optimization with AI
  • Role of AI in enhancing network performance
    Case studies on AI-driven network optimization strategies
  • AI in Communication Protocols
  • Integration of AI in developing flexible communication protocols
    Benefits and challenges of AI-enabled protocol adaptation
  • Automation in the Wireless Landscape
  • AI-driven automation processes in wireless networks
    Impact of automation on network management and user experience
  • Insights from Experts
  • Perspectives from Professor Lasaucle on AI's role in network infrastructures
    Insights from Professor Debbah on communication protocol innovations
  • Future Outlook
  • Emerging technologies and future trends in AI for telecommunications
    Preparing for an AI-driven communications ecosystem
  • Conclusion and Review
  • Recap of key concepts and insights
    Discussion on the implications of AI advancements in the field

Subjects

Computer Science