Presenter: Roozbeh Mottaghi, University of Washington Abstract: Data has revolutionized progress across AI fields like natural language processing and computer vision. Yet, in robotics, data collection remains a significant challenge: robots must interact with complex, dynamic environments, making the process slow, costly, and difficult to scale. In this talk, I will discuss how simulation is […]

Modern AI systems demand low-latency high-quality retrieval and serving over billion-scale keys and vectors. This proposal studies learned hashing and overlay networks to co-locate semantically related items and steer queries with minimal coordination. We first present LEAD, to our knowledge the first use of order-preserving learned hash functions in distributed key-value overlays, enabling efficient range […]