AI Compute & Hardware: Functional Systems & Generative Silicon Design

AI Compute & Hardware: Functional Systems & Generative Silicon Design

1. PLEASE NOTE: Official registration requires a ticket. Please RSVP here for updates.

Join the Bay Area Computer Vision Group as we bridge the gap between AI architecture and system engineering. We are featuring two experts exploring the future of hardware-aware software and AI-driven chip design.

Agenda

• 5:30 PM: Networking & Food
• 6:00-6:05 PM: Welcome address by Sangyeol (Lab head of RISCV project, Samsung)
• 6:05 PM: Functional Intelligence Talk
• 6:45 PM: AI-Created Silicon Talk
• 7:30 PM: Social Hour

Talk 1: Functional Intelligence: Building Scalable AI Systems for the Hardware Era

Speaker: Kannupriya Kalra (Scala Specialist & Co-creator of LLM4S) LinkedIn
As AI models demand specialized hardware, our software paradigms must evolve. Drawing from experience at Sky and the Scala Center, Kannupriya will discuss:

• How functional abstractions simplify AI/hardware orchestration.
• Strategies to make large-scale AI pipelines composable and performance-portable across accelerators.
• Real-world lessons from co-creating LLM4S, a Scala-first AI platform.

Talk 2: AI-Created Silicon: The Next Frontier Beyond GPUs and TPUs

Speaker: Pritish Yuvraj (CTO, Flexify.AI; Ex-Meta LLaMA Team)
LinkedIn
What if AI could design the next generation of chips? We explore the "AI Cursor for Chip Design", an intelligent co-designer that understands architecture tradeoffs and fabrication constraints.

• How LLMs, circuit simulation, and reinforcement learning converge to automate hardware creativity.
• Pritish co-authored the LLaMA 3 and LLaMA 4 papers and led the LLaMA Multilingual team at Meta.

Dec 10, 2025
Venue: Samsung Semiconductor Global, San Jose
Address: 3655 N First St, San Jose, CA 95134
Security: Please bring a valid ID for check-in.