Artificial Intelligence and Machine Learning (AI/ML), 2024 IEEE International Network Generations Roadmap
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This talk will overview and discuss the 2024 edition of the Artificial Intelligence and Machine Learning (AI/ML) chapter of the IEEE International Network Generations Roadmap (INGR). It focuses on the comingling of AI/ML and networking in ways that would make the network itself intelligent. This edition recognizes the 6G/IMT-2030 vision and the many AI/ML innovations introduced circa 2023-2024, and explores new potential capabilities enabled and new questions inspired thereof. Beyond enhancing classical network performance KPIs, this edition contemplates what it means to have intelligence in the network and what else can be done with it.
Key Topics:
· AI/ML-Defined Radio, a radio architecture specifically designed to support AI/ML-based optimization and decision-making in communication functions;
· Integrated Sensing, using the wireless communications network to sense the environment;
· Reconfigurable Intelligent Surface (RIS), optimizing the configuration of reflective surfaces to reshape radio signal propagations;
· Generative-AI (GenAI) for Prediction-Based Networking, using AI/ML to predict and generate content in the network rather than merely replicating data from hop to top, also using GenAI as an alternative to traditional congestion control;
· updates on systems analytics, dynamic digital twins, and the Dynamic Data Driven Application Systems (DDDAS) paradigm;
· Next-generation AI for next-generation wireless networks, expansive vision that seeks to incorporate such concepts as artificial general intelligence (AGI), the telecom brain, reasoning that recognizes causality, distributed collective intelligence, semantic communication, distributed universal foundation models, etc. into wireless networks.
Date and Time
Location
Hosts
Registration
- Date: 19 Nov 2024
- Time: 07:00 PM to 08:00 PM
- All times are (GMT-05:00) US/Eastern
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- Starts 08 October 2024 12:00 AM
- Ends 19 November 2024 12:00 PM
- All times are (GMT-05:00) US/Eastern
- Admission fee ?
Speakers
Baw Chng of BAWMAN LLC, president
Artificial Intelligence and Machine Learning (AI/ML), 2024 IEEE International Network Generations Roadmap
Biography:
Baw Chng is a technologist, inventor, and author who consults in the wireless networking and telecommunications fields. He has been awarded multiple patents in network and system architecture, network planning, security & authentication, mobility, system selection, service
Through his consulting practice at BAWMAN LLC, he consults on technology, standards, patents & intellectual property, and business strategy. He also offers expert consultation to the legal and investing communities. He has extensive experience with large Tier 1 communications service providers, their strategic technology vendors, technology start-ups, trade groups, and standards development organizations (SDOs). He is a pioneer of femtocell & small cell technologies.
His work spans across cellular communications, Wi-Fi (mesh & infrastructure), Internet-of-Things (IoT), low-power wide-area network (LPWAN), network function virtualization (NFV), software defined networking (SDN), self-organizing & self-optimizing network (SON), cloud computing, parallel computing, plastic optical fiber (POF), optical networking, quality of service (QoS), fair queueing, Artificial Intelligence (AI), and Machine Learning (ML). He is Co-Chair of the AI/ML Working Group and Editor for the 2022, 2023, and 2024 IEEE International Network Generations Roadmap (INGR) AI/ML Chapters.
Address:United States
Agenda
WEBINAR: 7:00 - 8:00 P.M.
The Zoom Webinar link and password will be forwarded to all registered participants after Noon on the day of the meeting. Check your spam folder if you don't see the email.
Webinar is open to all.
PDH certificates are available and an evaluation form will be emailed to you after the meeting. PDH certificate are sent by IEEE USA 3-4 weeks after the meeting.