Embedded Vision Summit

If you are an SoC designer interested in embedded vision, a chip architect for Physical AI including safety-critical radar/vision applications, or focus software implementation for AI Inference, you'll find something to enhance your next project at the Embedded Vision Summit.

Don't miss these insightful sessions:

From Generative AI to Physical AI: Enabling VLM/VLA Multimodal Performance on Enhanced NPX6 NPU IP  
Gordon Cooper, Principal Product Manager 
Date/Time: Monday May 11, 1:30pm

In this talk, we’ll explore the evolution and implementation of multimodal generative AI at the edge targeting physical AI applications, including autonomous vehicles and humanoid robots. We’ll outline the challenges and trade-offs for implementing multimodal generative AI on resource-constrained systems and discuss the performance and bandwidth requirements NPUs must meet to support them. Finally, we’ll demonstrate how these advanced multimodal and action-capable models are efficiently accelerated on the Synopsys ARC enhanced NPX6 NPU IP, enabling the next wave of intelligent, adaptive edge devices.

Understanding Transformers: From LLMs to Context-Aware Multimodal Models 
Tom Michiels, System Architect 
Date/Time:  Monday May 11, 4:15pm

Transformers have become the foundation of modern AI, reshaping how products are built and how businesses operate. In this talk we will explain why transformers replaced earlier models, what makes them highly scalable and how they expanded from language systems to multimodal models that reason across text, images, audio and more. We’ll introduce core concepts like attention, embeddings and tokenization, examining how these models learn and generalize. We’ll trace the evolution from GPT‑style language models to vision transformers and multimodal systems that enable capabilities such as in‑context learning.  We’ll explore practical considerations, including latency, memory, cost, KV caching and quantization. And we’ll highlight trends like long‑context models, on‑device AI and mixture‑of‑experts. Attendees will gain a practical understanding of how transformers work and how to apply them in product decisions.