
IEEE SCV WIE AI Summit 2025
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
2. AI Agents
3. Vision & Multimodality
4. MLOps for LLMs
5. Knowledge-Grounded & Reasoning
6. On-Device Learning for LLMs and Multi-Modal AI
7. Ethics, Bias & Fairness
Speaker(s): Jagruti Mahante & Shreya Anand, Jesmin Jahan Tithi, Harika Rama Tulasi Karatapu, Pallishree Panigrahi, , Rong Wang and Sushma Venkatesh Reddy
Agenda:
3:15-4:00 Registration
4:00-4:10 IEEE SCV WIE Welcome Message
4:15-4:45 Multi-Agentic Synthetic Data Generation for Realistic, Multi-Turn Conversations – By Disha Ahuja, Cisco
4.50-5.20 The LLM Imperative: Secure Your AI Frontier Before It Fractures Your Enterprise – By Jagruti Mahante & Shreya Anand, Workday
5:25-5:55 Designing Data Centers for Next-Gen Language Models – By Jesmin Jahan Tithi, Intel
5:55-6:30 Networking and Refreshments
6:30-6:50 ReAct Prompt Design: Enhancing LLM Reasoning & Tool Use – By Shubhi Asthana, IBM
6:55-7:15 AI Powered SaaS on GCP – By Harika Rama Tulasi Karatapu, Google
7:20-7:40 Designing for Trust: Responsible AI from Data to Deployment – By Pallishree Panigrahi, Amazon
7:45-8:05 The First Enablement of GPU On-Device LLMs on Intel Chromebook Platforms – By Rong Wang and Sushma Venkatesh Reddy,
8:05-8:10 Final Wrap-up
Bldg: SC12, Intel, 2200 Mission College Blvd, Santa Clara, California, United States, 95054