Welcome to the AI meetup in San Francisco. Join us for deep dive tech talks on AI, GenAI, LLMs and Agentic AI, hands-on experiences with code labs and workshops, and networking with speakers and fellow AI developers, builders, startup founders.

Agenda:
- 5:30pm~6:00pm: Checkin, food and networking
- 6:00pm~6:10pm: Welcome, Community update
- 6:10pm~8:00pm: Tech talks and Q&A
- 8:00pm~8:30pm: Open discussion, Mixer and Closing.

Tech Talk: Building a state-of-the-art AI web researcher
Speaker: Boris Toledano (COO and Co-founder of Linkup)
Abstract: In this session, we'll discuss the next-generation search infrastructure that gives AI agents seamless access to web information and hard-to-find intelligence. Traditional methods can't handle these new workflows, and legacy search engines - designed for human attention - aren't built for these emerging AI use cases. We will address: a)The power of web search for LLM-based applications; b) the need to avoid scraping of legacy search engines; c) How we're building a new category of "searcher" models; and d) What you can power with a web retrieval engine, including demos.

Tech Talk: Simplifying Edge AI with NVIDIA FLARE and Meta ExecuTorch
Speaker: Yuan-Ting Hsieh (NVIDIA) , Chester Chen (NVIDIA)
Abstract: This talk shares our hands-on journey building scalable, privacy-preserving federated learning across heterogeneous edge environments—starting with Meta’s ExecuTorch on iPhones and expanding to Android devices and beyond. By integrating NVIDIA FLARE with ExecuTorch, we’ve enabled on-device training without requiring data scientists to write device-specific code (e.g., Objective-C/Swift or Java/Kotlin). Instead, they can focus entirely on model architecture and training.
We’ll highlight the power of our device simulator for rapid development and testing and introduce our hierarchical federated learning system to support millions of devices. Our modular approach lays the foundation to support other ML frameworks beyond deep learning, further expanding the reach of federated learning at the edge.

Speakers/Topics:
Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Venue:
AWS Loft, 525 Market Street, 2nd Floor, San Francisco, CA 94105
Main entrance is up the stairs to SW of building next to Chipotle restaurant. Alternative access is using elevators in lobby. Check Slack/Discord for more driving instructions, parking info, public transportations, car pool, etc..
All guests must present a valid and physical ID - this is mandatory with no exceptions.
Code of Conduct: all guests must follow the AWS Community Codes of Conduct and agree to the AWS Event Terms and Conditions.

Sponsors:
We are actively seeking sponsors to support AI developers community.  Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 50,000+ AI developers in San Francisco Bay Area and 500K+ worldwide.

Local and Global AI Community on Discord
Join us on discord for local and global AI tech community:
- Events chat: chat and connect with speakers and global and local attendees;
- Learning AI: events, learning materials, study groups;
- Startups: innovation, projects collaborations, founders/co-founders;
- Jobs and Careers: job openings, post resumes, hiring managers