Abstract: Quantum computation and quantum information are of great current interest across various fields, including computer science, mathematics and statistics, physical sciences and engineering. As…
Abstract: The landscape of space exploration is continually evolving, with increasing demands for efficiency, affordability, and rapid deployment of missions. This talk will explore the…
Abstract: As many consumers shifted their reading from offline to online publications, ad tech intermediaries emerged to enable online advertising. Some of the new technologies…
Abstract: Customized computer architectures are specially designed processors and accelerators that match the hardware capabilities with the underlying computation, memory, and control behavior of a…
Abstract: In a wide variety of contexts including peer grading, peer review, and crowd-sourcing (e.g. evaluating LLM outputs) we would like to design mechanisms which…
Abstract: Large-scale video streaming services are among the most resource-intensive applications on the modern Internet, serving tens of millions of concurrent users. Delivering a high…
Abstract: The Steiner Forest problem, also known as the Generalized Steiner Tree problem, is a fundamental optimization problem on edge-weighted graphs where, given a set…
Abstract: Machine learning (ML) is revolutionizing the systems landscape, fundamentally transforming how we design, manage, and optimize networked systems and applications. Learning-based solutions now outperform…
Abstract: Generative Artificial Intelligence (GenAI) has revolutionized how we model complex phenomena, yet its true potential in life and molecular sciences remains largely untapped. In…
Abstract: As students increasingly turn to Large Language Models (LLMs) for instant answers and fast coding, we are witnessing a measurable decline in crucial study…
Abstract: How do we find a high-value matching when we are unsure which matches are viable? This challenge is central to many online platforms, from…
Abstract: Diffusion models have rapidly advanced to become a central generative engine in modern AI. Yet two major challenges remain: enhancing test-time compute scalability and…