Summary
The true promise of AI isn’t in replicating human intelligence. It’s in developing entirely new forms of non-human intelligence that perceive and understand the world in fundamentally different ways. This means building machines that can directly sense the physical world through modalities beyond human biology, form their own internal representations and interpretations free from our biases, and then translate that understanding back to us in human terms.
Speakers
Jaime Lien, Ph.D. is Co-Founder and Head of Machine Perception & Hardware at Archetype AI, a pioneering startup advancing Physical AI, artificial intelligence that understands the real world through real-time sensor data fusion.
With over a dacade of experience in radar-based sensing, signal processing, and hardware engineering, Jaime’s career bridges cutting-edge research and consumer-ready innovation. Before Archetype, she led radar sensing development for Google ATAP’s Project Soli and contributed wireless communication and localization expertise at NASA’s Jet Propulsion Laboratory.
Rashi Agrawal is Head of AI Engineering at GoodLeap, where she leads enterprise-wide AI initiatives that deliver real business impact. An accomplished speaker, she covers the latest in AI, including context engineering, evaluations, and multi-agent collaboration, while driving Applied AI innovation in the enterprise. Previously, she scaled engineering teams at Yahoo, advancing its multibillion-dollar advertising business. A passionate world traveler to 40+ countries, Rashi brings global perspective and energy to her leadership and storytelling.
on ELC Annual 2025