ALMANACK


Artificial Intelligence and Machine Learning (AI/ML)
2024 IEEE International Network Generations Roadmap

Cost: No Charge for members. Registration is required.

Date: November 19, 2024
Time: 7 pm – 8 pm
Location: virtual

Speaker: Baw Chng

Abstract: 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 include…read more here https://events.vtools.ieee.org/m/438468

NOTE: PDH certificates are available and an evaluation form will be emailed to you after the meeting. PDH certificates are sent by IEEE USA 3-4 weeks after the meeting.

Register here:
https://events.vtools.ieee.org/m/438468

 


Call for Speakers – IEEE Philadelphia Section Night

The IEEE Philadelphia Section is seeking knowledgeable and enthusiastic speakers for our upcoming monthly meetings. This is a fantastic opportunity to share your expertise with a vibrant community of professionals.

Benefits of Speaking:

  • Networking: Connect with industry leaders and peers.
  • Recognition: Gain visibility and enhance your professional reputation.
  • Knowledge Sharing: Contribute to the growth and learning of our community.
  • Professional Development: Enhance your public speaking and presentation skills.

If you’re interested in presenting, please fill out the JotForm (link below) and let us know how you can contribute. Share your expertise and make a difference!

https://form.jotform.com/233534547139056

 


IEEE Future Networks Artificial Intelligence and Machine Learning (AIML)

Date: November 21, 2024
Time: 12:00 PM to 01:00 PM
Location: Virtual

Toward Trustworthy AI/ML in 6G Networks through Explainable Reasoning

This talk emphasizes the importance of trustworthy Artificial Intelligence (AI) in 6G networks in response to growing global attention on AI governance. Notable initiatives such as the White House’s Executive Order on the Safe, Secure, and Trustworthy Development and Use of AI, DARPA’s Assured Neuro-Symbolic Learning and Reasoning and eXplainable AI (XAI) programs, and the European Union’s AI Act, highlight the increasing regulatory focus on AI transparency and responsibility. As 6G networks transition from AI-native to automation-native, the need for explainability and trustworthiness becomes critical, especially in mission-critical and high-stakes applications. Traditional post-hoc explainability methods, which aim to explain AI decisions after they are made, are no longer adequate in complex network environments. Instead, in-hoc explainability or explanation-guided techniques – where explanations guide the learning process itself – is emerging as a crucial approach for establishing trust in AI systems from the ground up. Indeed, integrating explanatory mechanisms directly within AI learning models enables transparent decisions and enhances learning. Furthermore, incorporating neuro-symbolic approaches, which combine neural networks with symbolic reasoning, provides a robust framework to tackle the increasing complexity of 6G networks. By integrating these approaches, AI systems can make more explainable, contextually guided decisions, boosting trust and performance while mitigating risks associated with black-box AI models.

Learn more and register here:

https://events.vtools.ieee.org/m/443359

 


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For more information, contact the Public Relations Chair Alfredo Flores via e-mail adonisflores95@gmail.com, or  the Office at 484.270.5136 & sec.philadelphia@ieee.org.