IEEE SCV WIE AI Summit 2025

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IEEE SCV WIE AI Summit 2025 - Generative AI, LLMs, Vision Language Models(VLMs), Retrieval-Augmented Generation (RAG) and more

IEEE SCV WIE AI Summit 2025

In an era where AI technologies are rapidly transforming industries and redefining possibilities, it is crucial to explore both the innovations driving this change and the responsibilities that come with it. Today, we will delve into a diverse array of topics that highlight the multifaceted nature of AI and its profound impact on our lives.

Our sessions will cover the latest developments in Large Language Models and Foundation Models, exploring efficient fine-tuning, multilingual adaptation, and the role of LLMs as knowledge bases. We will also examine the evolution of AI agents, focusing on autonomous task completion, multi-agent collaboration, and the integration of external knowledge for robust decision-making.

In the realm of Vision and Multimodality, we will explore the integration of text, image, and video understanding, as well as advanced techniques like zero-shot learning and self-supervised learning. Our discussions on MLOps for LLMs will provide insights into best practices for training, deploying, and evaluating large models.

We will also address the critical areas of Knowledge-Grounded Reasoning, On-Device Learning, and the ethical dimensions of AI, including bias mitigation, privacy preservation, and the detection of misinformation.

Talk tracks are broadly classified but not limited to,

1. Large Language Models (LLMs) & Foundation Models
Efficient Fine-tuning of LLMs for Low-Resource Languages, LLM Alignment & Instruction-Tuning: Challenges and Advances, Scaling Laws: Understanding Model Size vs. Performance, Multilingual and Cross-Lingual LLM Adaptation, Memory-Augmented LLMs: Enhancing Long-Term Context Understanding, LLMs as Knowledge Bases: Reasoning and Fact-Checking

2. AI Agents
Autonomous AI Agents: Leveraging LLMs for Task Completion, Multi-Agent Communication & Collaboration in NLP, Self-Reflective AI: Reflexion and Self-Improvement in Language Models, Hierarchical & Modular AI Agents: Towards Scalable Systems, LLMs as Orchestrators: AI Workflows with Task-Specific Agents, Grounding LLMs in External Knowledge for Robust Decision-Making

3. Vision & Multimodality
Vision-Language Models (VLMs): From CLIP to GPT-4V, Multimodal Agents: Integrating Text, Image, and Video Understanding, Spatial and Temporal Reasoning in Vision-Language Models, Zero-Shot and Few-Shot Learning in Multimodal AI, Self-Supervised Learning for Multimodal Representations, Evaluating Multimodal Models: Metrics & Benchmarks, Neurosymbolic Approaches for Language and Vision Tasks

4. MLOps for LLMs
LLMOps: Best Practices for Training & Deploying LLMs, Efficient Inference for Large Models: Pruning, Quantization & Distillation, Retrieval-Augmented Generation (RAG): Enhancing Context Awareness, Memory and Context Window Expansion: Architectures & Trade-offs, Evaluation Metrics for LLMs & Conversational Agents

5. Knowledge-Grounded & Reasoning
LLMs for Automated Theorem Proving & Scientific Discovery, Commonsense Reasoning in AI Agents, Symbolic vs. Neural Reasoning, Interpretable Models: Improving Explainability in LLMs, Unifying Knowledge Graphs and LLMs for Structured Reasoning

6. On-Device Learning for LLMs and Multi-Modal AI
On-Device LLMs & Edge AI for Language Processing and Multimodal Applications, Security, Privacy & Ethical Considerations for On-Device LLMs
 
7. Ethics, Bias & Fairness
Bias Mitigation in Large Language Models, Hallucination Detection & Control in LLMs, Privacy-Preserving NLP: Federated Learning & Differential Privacy, AI and Misinformation: Detecting Deepfakes & Generated Content, Ethical Considerations in Deploying NLP for Real-World Applications

  Date and Time

  Location

  Hosts

  Registration


  • Date: 21 May 2025
  • Time: 11:00 PM UTC to 03:00 AM UTC
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  • Intel
  • 2250 Mission College Blvd
  • Santa Clara, California
  • United States 95054
  • Building: SC9
  • Contact Event Hosts

  •  

    Shweta Behere @ sbehere@ieee.org

    Sue Delafuente @ sdelafuente@ieee.org

    Ipsita Mohanty @ imohanty@ieee.org

    Sreyashi Das @ das.sreyashi@gmail.com

    Hazel Stoiber @ hazeldieh@ieee.org

     

  • Starts 07 April 2025 07:00 AM UTC
  • Ends 21 May 2025 07:00 AM UTC
  • Admission fee ?

  Speakers

Chloe Ma

Topic:

Multimodel AI: Application in Embodied and Robotics Space

Dr. Vishnu S. Pendyala

Topic:

Charting the AI Landscape

Artificial Intelligence (AI) continues to redefine industries and reshape the fabric of modern society, presenting both unprecedented opportunities and complex challenges. This talk delves into the multifaceted AI landscape, highlighting key advancements, ethical dilemmas, and strategic pathways for innovation. Through a dynamic exploration of emerging technologies and practical insights, the talk will uncover the mechanisms driving AI development, analyze its impact on diverse domains, and discuss frameworks for responsible adoption. Attendees will gain actionable knowledge to navigate this rapidly evolving field, harness AI's transformative potential, and ensure its integration aligns with societal values and objectives.

Biography:

Vishnu S. Pendyala is a faculty member in Applied Data Science and an Academic Senator with San Jose State University, current chair of the Santa Clara Valley Chapters of IEEE Computer and Computational Intelligence Societies, Area 4 Coordinator for Region 6, and a Distinguished Contributor of the IEEE Computer Society. As a past ACM Distinguished Speaker, researcher, and industry expert, he gave  nearly 100 talks and tutorial sessions in various forums such as faculty development programs, the 12th IEEE GHTC, IEEE ANTS, 12th IACC, 10th ICMC, IUCEE, 12th ACM IKDD CODS and 30th COMAD to audiences at venues such as Stanford University, Google, University of Bolton, Computer History Museum, Universidad de Ingeniería y Tecnología, Lima, Peru, IIIT Hyderabad, KREA, IIT Jodhpur, University of Hyderabad, IIT Indore, IIIT Bhubaneswar. Some of these talks are available on YouTube and IEEE.tv. He is a senior member of the IEEE and ACM. He has over two decades of experience in the software industry in the Silicon Valley, USA. His book, “Veracity of Big Data,” is available in several libraries, including those of MIT, Stanford, CMU, the US Congress and internationally. Two other books on machine learning and software development that he edited are also well-received and found place in the US Library of Congress and other reputed libraries. Dr. Pendyala taught a one-week course sponsored by the Ministry of Human Resource Development (MHRD), Government of India, under the GIAN program in 2017 to Computer Science faculty from all over the country and delivered the keynote in a similar program sponsored by AICTE, Government of India in 2022. Dr. Pendyala served on a US government's National Science Foundation (NSF) proposal review panel in 2023. He received the Ramanujan memorial gold medal and a shield for his college at the State Math Olympiad. He also played an active role in the Computer Society of India and was the Program Secretary for its annual national convention.





Agenda

4:00-4:45 Registration / Networking 
4:45-5:00 IEEE SCV WIE Welcome Message
5:00-5:15 Keynote Message
5:15-6:00 Charting the AI Landscape by Vishnu Pendyala, Faculty member in Applied Data Science/Academic Senator with San Jose State University
6:00-6:30 Networking and Refreshments
6:30-7:00 Multimodal and Physical AI and their application in Embodied and Robotics Space by Chloe MA, VP ARM
7:00-7:45 Lightning Talks
7:45-8:00 Networking and Wrap-up