IEEE Women in Engineering (WIE) Santa Clara Valley is thrilled to announce complimentary tickets to the upcoming AI Infra Summit 2025 (Expo Pass Only) through our scholarship program. What We're Offering? Complimentary tickets (Expo Pass Only) to one of the year's most impactful AI infrastructure conferences, Networking opportunities with 2,500+ industry professionals and 200+ expert speakers, Access to cutting-edge sessions on AI hardware, edge computing, data centers, and enterprise AI, Professional development in the fastest-growing sector of technology Event Details (https://enotice.mmsend.com/link.cfm?r=w88U22rr5U0C68kcv3Ff8g~~&pe=TDbpWJgHzNy92pwnGpn6DVJULynuaUwmMx2aA55v2Az19Zz5QyFgYXTRHfaa2MG4PuWpQdJmxs-QyO7lMh07yQ~~&t=sokOKAWdahFLgZcuJjJI9g~~) Date: September 9-11, 2025 Location: Santa Clara Convention Center Focus: Full-stack AI infrastructure, hardware systems, edge AI, and enterprise solutions Who Can Apply? - Students pursuing STEM degrees (undergraduate & graduate) - IEEE members (WIE members preferred) looking to advance their careers in AI infrastructure - Career professionals passionate about AI technology and infrastructure Why This Matters? The AI infrastructure market is experiencing unprecedented growth, with organizations projected to invest over $1 trillion in the next five years. This summit provides unparalleled access to industry leaders, emerging technologies, and career-defining connections. Ready to Apply? Applications are now OPEN! Complete our scholarship application form and tell us how this opportunity aligns with your career goals and passion for AI infrastructure. Apply Now: (https://enotice.mmsend.com/link.cfm?r=w88U22rr5U0C68kcv3Ff8g~~&pe=QdWvfYmw6O5PGs883UUgf-Cv5NHb2pZFt-3Z_lZ23pp8zEmDpi0ZBHP5AncOfmrWv5jWfmNcy3akQK9dlQQuUw~~&t=sokOKAWdahFLgZcuJjJI9g~~) Application Deadline: July 10th, 2025 Scholarship Recipients Announced: July 20th, 2025 Contact IEEE WIE SCV team at [email protected] Co-sponsored by: YP60369 Santa Clara, California, United States

We are excited to continue the Orange County Computer Society (OCCS) Global Emerging Technologies (GET) Series—a monthly platform dedicated to spotlighting transformative innovations in computer science and technology. Hosted by the IEEE Orange County Computer Society Chapter, this series unites professionals, students, and tech enthusiasts to explore the cutting edge of what’s possible. Following a highly engaging May session filled with thought-provoking conversations on Gen AI in healthcare and insurance, we’re thrilled to bring you a powerful double-feature this June that explores both the strategic and technical sides of artificial intelligence. This month, we shift focus to the evolving AI ecosystem, with two compelling talks. As AI adoption accelerates across industries, organizations face significant challenges with integration, scalability, and security. At the same time, large language models (LLMs) are transforming how we build, deploy, and interact with intelligent systems. In this session: 🔹 The first talk dives into enterprise-level strategies to overcome AI integration hurdles, addressing legacy systems, data silos, and fragmented infrastructure to enable scalable, secure solutions. 🔹 The second talk takes you behind the scenes of LLMs—unpacking how they’re trained, optimized, and deployed—with real-world use cases that reveal how these models are powering next-generation applications. Key topics include: ✅ Scalable and secure AI architectures ✅ Bridging strategy and execution in AI adoption ✅ Training pipelines, fine-tuning, and inference of LLMs ✅ Bias mitigation, privacy, and responsible AI practices ✅ Cross-domain LLM applications in real-world scenarios Whether you're building AI strategies at the enterprise level or curious about the inner workings of LLMs, this session delivers valuable insights, practical takeaways, and a deeper understanding of AI’s rapidly growing impact. 📅 Don’t miss this opportunity to dive into the evolving world of enterprise AI and model development—where practical integration meets technical innovation. 🎤 Interested in speaking at a future session? Reach out to [email protected]—we’re always looking for passionate voices to lead the conversation. Join us as we learn, connect, and shape the future of emerging technologies—together. Speaker(s): Pradyumna, Tharun Agenda: Time (in PST) Activity 05:00pm - 05:15pm Check-in and networking 05:15pm - 05:30pm OCCS Chapter Introduction! 05:30pm - 06:00pm Speaker: Pradyumna Amasebail Kodgi 06:00pm - 06:30pm Speaker: Tharun Sure 06:30pm - 07:00pm Q/A Virtual: https://events.vtools.ieee.org/m/487510

Generic Large Language Models (GLLMs) are continually being released with increased size and capabilities, enhancing the capabilities of these tools as universal problem solvers. While the reliability of GLLMs' responses is questionable in many situations, these models are often augmented or retrofitted with external resources for various applications, including cybersecurity. The talk will discuss major security concerns of these pre-trained models: first, GLLMs are prone to adversarial manipulation, such as model poisoning, reverse engineering, and side-channel cyberattacks. Second, the security issues related to LLM-generated codes using open-source libraries/codelets for software development can involve software supply chain attacks. These may result in information disclosure, access to restricted resources, privilege escalation, and complete system takeover. This talk will also cover the benefits and risks of using GLLMs in cybersecurity, particularly in malware detection, log analysis, intrusion detection, etc. I will highlight the need for diverse AI approaches (non-LLM-based smaller models) trained with application-specific curated data, fine-tuned for well-tested security functionalities in identifying and mitigating emerging cyber threats, including zero-day attacks. Note: - You will require a Zoom account (free to obtain) to join the meeting. 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. Register here: https://sjsu.zoom.us/meeting/register/2XuaGc9ISoCWOu1dt6ANog - 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, Prof. Dipankar Dasgupta, IEEE Fellow, NAI Fellow, AIIA Fellow Virtual: https://events.vtools.ieee.org/m/489327