Join your fellow IEEE OEB-LMAG members for lunch, and an opportunity to hear about Pixar from Dan McCoy, a key technical contributor to Pixar’s award-winning software “RenderMan”, as well as many of its blockbuster movies. Dan will talk about Pixar and the technology it uses to develop its 3D Animated movies. This is a chance to hear about how Pixar has changed the way that 3D animated movies, and all movies with 3D special effects, are made. It is also a great chance to make new friends and socialize with other IEEE members and guests. Speaker(s): Dan McCoy, Dan Agenda: Presentation and lunch. Bufett or order from menu depending upon the number of registrants. Member fee is subsidized. Bldg: Golf course restaurant, not pro shop, Beeb's Sports Bar and Grill, 915 Club House Drive, Livermore, California, United States, 94551

Free Registration (with a Zoom account; you can get one for free if you don't already have it. This requirement is to avoid Zoom bombing. Please sign in using the email address tied to your Zoom account — not necessarily the one you used to register for the event.): https://sjsu.zoom.us/meeting/register/RToYlK0nTMitbP-jb4VjBA Synopsis: The event is technically co-hosted by Area 4, Region 6 of the IEEE Computer Society. This virtual event brings together global innovators in data science to share cutting-edge research and practical applications. The sessions with invited speakers will cover topics related to GenAI and its application. ICADS 2025 offers a dynamic platform for innovation and collaboration. Don’t miss this opportunity to connect with experts and advance the field of data science from the comfort of your own home. For more details, also check https://r6.ieee.org/scv-cs/icads2025/ (This page on vtools has a word limit) Title: The Rise of Autonomous Intelligence: How AI Agents Are Redefining Science, Art, and Business Abstract – In this talk, Kamer Ali Yuksel (Head of Agentic AI @ aiXplain) describes how LLM-driven agents are transforming autonomy across research, enterprise, and design. He shows that today’s agents aren’t just “smart autocomplete” but self-directed ideators, experimenters, analysts, and creators. Drawing on his recent publications, he argues that AI agents already deliver end-to-end autonomy: how aiXplain autonomously refine Agentic AI workflows via continuous LLM-driven feedback loops, ideate and implement enterprise Agentic AI use-cases, and derive actionable business insights from enterprise data—producing executive-ready reports without human intervention. ... Speaker – Kamer Ali Yuksel https://r6.ieee.org/scv-cs/wp-content/uploads/sites/81/2025/05/Screen-Shot-2025-05-31-at-2.20.56-PM.png Talk title: From Algorithms to Agents: The Role of Agentic AI in Healthcare Abstract – The future of healthcare is not just digital—it’s intelligent. Agentic AI represents a paradigm shift in artificial intelligence, moving beyond static models and reactive systems to dynamic, autonomous agents capable of setting goals, making decisions, and adapting over time. Unlike traditional AI, which passively responds to inputs, agentic AI can plan, reason, and act in complex, real-world environments—making it especially suited for the demands of modern healthcare. ... Speaker – Dr. Anuradha Kar https://r6.ieee.org/scv-cs/wp-content/uploads/sites/81/2025/05/Screen-Shot-2025-05-31-at-2.18.58-PM.png Title: Trustworthiness of Agentic AI Abstract – ...this speech will be about understanding the need for trustworthiness in Agentic AI and learning about the latest developments in ensuring it. The speech will discuss not only technical solution approaches but also our responsibilities to build human-compatible Agentic AI. ... Speaker – Dr. Utku Kose https://r6.ieee.org/scv-cs/wp-content/uploads/sites/81/2025/05/Screen-Shot-2025-05-31-at-2.16.25-PM.png Title: Beyond the Buzz: Defining Agentic AI Systems, Their Capabilities, and the Path Forward Abstract – Despite widespread discussion of AI agents across industry and academia, the field lacks consensus on fundamental questions: What exactly constitutes an agent? What problems can current agents realistically solve versus what remains beyond their reach? This talk addresses the clarity gap by examining current agent capabilities and limitations through real-world examples, and establishing concrete problem statements for researchers and practitioners. ... Speaker: Ranjitha Gurunath Kulkarni https://r6.ieee.org/scv-cs/wp-content/uploads/sites/81/2025/05/Screen-Shot-2025-05-31-at-2.13.42-PM.png Title: Agentic AI: Redefining Autonomy in Intelligent Systems Abstract – Agentic AI is reshaping the boundaries of artificial intelligence by enabling systems that move beyond reactive responses to exhibit autonomy, initiative, and adaptability. These agents are capable of independently setting goals, planning multi-step actions, maintaining memory over time, and interacting intelligently with their environments. ... Speaker: Dr. Soumen Biswas --------------------------------------------------------------- By registering for this event, you agree that IEEE and the organizers are not liable to you for any loss, damage, injury, or any incidental, indirect, special, consequential, or economic loss or damage (including loss of opportunity, exemplary or punitive damages). The event will be recorded and will be made available for public viewing. Co-sponsored by: Vishnu S. Pendyala, SJSU Speaker(s): Dr. Vishnu S. Pendyala, Dr. Soumen Biswas, Ranjitha Gurunath Kulkarni , Dr. Utku Kose , Dr. Anuradha Kar, Kamer Ali Yuksel Agenda: 08:00 to 09 AM Agentic AI: Redefining Autonomy in Intelligent Systems 09:00 to 10:00 AM The Rise of Autonomous Intelligence: How AI Agents Are Redefining Science, Art, and Business 10:00 am to 11:00 AM From Algorithms to Agents: The Role of Agentic AI in Healthcare 11:00 to 12:00 PM Trustworthiness of Agentic AI 12:00 to 01:00 PM Beyond the Buzz: Defining Agentic AI Systems, Their Capabilities, and the Path Forward Virtual: https://events.vtools.ieee.org/m/487442

Free Registration (with a Zoom account; you can get one for free if you don't already have it. This requirement is to avoid Zoom bombing. Please sign in using the email address tied to your Zoom account — not necessarily the one you used to register for the event.): https://sjsu.zoom.us/meeting/register/RToYlK0nTMitbP-jb4VjBA Synopsis: The event is technically co-hosted by Area 4, Region 6 of the IEEE Computer Society. This virtual event brings together global innovators in data science to share cutting-edge research and practical applications. The sessions with invited speakers will cover topics related to GenAI and its application. ICADS 2025 offers a dynamic platform for innovation and collaboration. Don’t miss this opportunity to connect with experts and advance the field of data science from the comfort of your own home. For more details, also check https://r6.ieee.org/scv-cs/icads2025/ (This page on vtools has a word limit) Title: The Rise of Autonomous Intelligence: How AI Agents Are Redefining Science, Art, and Business Abstract – In this talk, Kamer Ali Yuksel (Head of Agentic AI @ aiXplain) describes how LLM-driven agents are transforming autonomy across research, enterprise, and design. He shows that today’s agents aren’t just “smart autocomplete” but self-directed ideators, experimenters, analysts, and creators. Drawing on his recent publications, he argues that AI agents already deliver end-to-end autonomy: how aiXplain autonomously refine Agentic AI workflows via continuous LLM-driven feedback loops, ideate and implement enterprise Agentic AI use-cases, and derive actionable business insights from enterprise data—producing executive-ready reports without human intervention. ... Speaker – Kamer Ali Yuksel https://r6.ieee.org/scv-cs/wp-content/uploads/sites/81/2025/05/Screen-Shot-2025-05-31-at-2.20.56-PM.png Talk title: From Algorithms to Agents: The Role of Agentic AI in Healthcare Abstract – The future of healthcare is not just digital—it’s intelligent. Agentic AI represents a paradigm shift in artificial intelligence, moving beyond static models and reactive systems to dynamic, autonomous agents capable of setting goals, making decisions, and adapting over time. Unlike traditional AI, which passively responds to inputs, agentic AI can plan, reason, and act in complex, real-world environments—making it especially suited for the demands of modern healthcare. ... Speaker – Dr. Anuradha Kar https://r6.ieee.org/scv-cs/wp-content/uploads/sites/81/2025/05/Screen-Shot-2025-05-31-at-2.18.58-PM.png Title: Trustworthiness of Agentic AI Abstract – ...this speech will be about understanding the need for trustworthiness in Agentic AI and learning about the latest developments in ensuring it. The speech will discuss not only technical solution approaches but also our responsibilities to build human-compatible Agentic AI. ... Speaker – Dr. Utku Kose https://r6.ieee.org/scv-cs/wp-content/uploads/sites/81/2025/05/Screen-Shot-2025-05-31-at-2.16.25-PM.png Title: Beyond the Buzz: Defining Agentic AI Systems, Their Capabilities, and the Path Forward Abstract – Despite widespread discussion of AI agents across industry and academia, the field lacks consensus on fundamental questions: What exactly constitutes an agent? What problems can current agents realistically solve versus what remains beyond their reach? This talk addresses the clarity gap by examining current agent capabilities and limitations through real-world examples, and establishing concrete problem statements for researchers and practitioners. ... Speaker: Ranjitha Gurunath Kulkarni https://r6.ieee.org/scv-cs/wp-content/uploads/sites/81/2025/05/Screen-Shot-2025-05-31-at-2.13.42-PM.png Title: Agentic AI: Redefining Autonomy in Intelligent Systems Abstract – Agentic AI is reshaping the boundaries of artificial intelligence by enabling systems that move beyond reactive responses to exhibit autonomy, initiative, and adaptability. These agents are capable of independently setting goals, planning multi-step actions, maintaining memory over time, and interacting intelligently with their environments. ... Speaker: Dr. Soumen Biswas --------------------------------------------------------------- By registering for this event, you agree that IEEE and the organizers are not liable to you for any loss, damage, injury, or any incidental, indirect, special, consequential, or economic loss or damage (including loss of opportunity, exemplary or punitive damages). The event will be recorded and will be made available for public viewing. Co-sponsored by: Vishnu S. Pendyala, SJSU Speaker(s): Dr. Vishnu S. Pendyala, Dr. Soumen Biswas, Ranjitha Gurunath Kulkarni , Dr. Utku Kose , Dr. Anuradha Kar, Kamer Ali Yuksel Agenda: 08:00 to 09 AM Agentic AI: Redefining Autonomy in Intelligent Systems 09:00 to 10:00 AM The Rise of Autonomous Intelligence: How AI Agents Are Redefining Science, Art, and Business 10:00 am to 11:00 AM From Algorithms to Agents: The Role of Agentic AI in Healthcare 11:00 to 12:00 PM Trustworthiness of Agentic AI 12:00 to 01:00 PM Beyond the Buzz: Defining Agentic AI Systems, Their Capabilities, and the Path Forward Virtual: https://events.vtools.ieee.org/m/487442

Free Registration (with a Zoom account; you can get one for free if you don't already have it. This requirement is to avoid Zoom bombing. Please sign in using the email address tied to your Zoom account — not necessarily the one you used to register for the event.): https://sjsu.zoom.us/webinar/register/WN_DIDfdbkgRFeEd3JbzURIUQ Synopsis: How are machine learning algorithms able to answer questions from any nook and corner of the World Wide Web? How are trending hashtags from the near infinite microblog posts, unique visitors and other distinct counts in the near infinite website traffic determined? How do blogging websites avoid recommending articles a user has previously read? In general, how can we answer complex queries about enormous data streams without storing them entirely, in real-time? The answer often lies in clever approximation algorithms and data "sketches" that capture essential properties using vastly reduced space. The relentless flow of data in modern systems indeed presents significant challenges. These data streams are often too large to store and too fast to process exhaustively with traditional methods. This talk introduces key sketching and approximation techniques that help generate real-time data insights by processing data streams. --------------------------------------------------------------- By registering for this event, you agree that IEEE and the organizers are not liable to you for any loss, damage, injury, or any incidental, indirect, special, consequential, or economic loss or damage (including loss of opportunity, exemplary or punitive damages). The event will be recorded and will be made available for public viewing. Speaker(s): Dr. Vishnu S. Pendyala Virtual: https://events.vtools.ieee.org/m/482936

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 Agenda: 3:15-4:00 Registration 4:00-4:10 IEEE SCV WIE Welcome Message 4:10-4:30 Keynote Message 4:30-5:00 Multi-Agentic Synthetic Data Generation for Realistic, Multi-Turn Conversations - By Disha Ahuja, Cisco 5.00-5.30 The LLM Imperative: Secure Your AI Frontier Before It Fractures Your Enterprise - By Jagruti Mahante & Shreya Anand, Workday 5:30-6:00 Designing Data Centers for Next-Gen Language Models - By Jesmin Jahan Tithi, Intel 6:00-6:40 Networking and Refreshments 6:40-7:00 ReAct Prompt Design: Enhancing LLM Reasoning & Tool Use - By Shubhi Asthana, IBM 7:00-7:20 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 7:40-8:00 The First Enablement of GPU On-Device LLMs on Intel Chromebook Platforms - By Rong Wang and Sushma Venkatesh Reddy, 8:00-8:10 Final Wrap-up Bldg: SC12, Intel, 2200 Mission College Blvd, Santa Clara, California, United States, 95054

As the LTO tape roadmap advances toward significantly higher capacities, the industry is undergoing a paradigm shift in how those gains are achieved. Traditionally, increased capacity came from expanding tape length and increasing linear bit and track densities together, enabled by larger recorded bits on thicker media. However, beginning with LTO-8, the focus has shifted to higher track densities and thinner, longer tape substrates—a transformation that brings both opportunity and complexity. This transition introduces a new set of engineering and operational challenges. With thinner media and smaller recorded bit dimensions, the number of wraps and head passes per full volume increases significantly. As a result, tape systems are becoming more sensitive to environmental conditions, including temperature, humidity, and airborne debris. These changes mainly due to smaller bit dimensions place added pressure on Tape Dimensional Stability (TDS) control mechanisms and contribute to elevated Tape Alerts and Drive Errors, especially in real-world usage scenarios. Innovations in LTO-10, such as the tilted head and servo format architecture (the Pisa head) and new cleaning mechanisms, represent a major leap in addressing these challenges. This new format allows precise compensation for tape dimensional changes, improving tape-to-head alignment. However, such innovations are just one part of the broader strategy needed to ensure reliable tape performance at scale. In parallel, modern data architectures are redefining tape’s role. Tapes are no longer just archival media stored offsite for disaster recovery. In today’s tiered storage ecosystems, data on tape must be randomly accessible, highly durable, and maintain multi-9s reliability over lifespans exceeding ten years. This shift requires that tapes perform reliably not just at write time, but throughout their lifecycle as active data assets. To meet these demands, the industry must adopt: - Advanced host-level tape and drive management algorithms - Researching and implementing ML based algorithms for Real world tape Alerts and errors and estimating data durability and availability - Integration of erasure coding, redundancy models with new RAIL based Library architectures This presentation will focus into the magnetic data tape technological innovations, real-world tape alerts and errors, and architectural changes shaping the next generation of tape storage. Emphasis will be placed on understanding the interplay between environmental variables and system performance, and how innovation at system and Library level is essential to ensuring long-term reliability in this new era of high-capacity tape systems. Speaker(s): Turguy, Agenda: 6:30 - 7:00 Socializing and Networking at Quadrant 6:55 Zoom session will be online with Waiting Room 7:00 - 7:45 Lecture begins, online and in person 7:45 - 8:00 Questions and Answers 1120 Ringwood Ct, San Jose, California, United States, 95131, Virtual: https://events.vtools.ieee.org/m/491103