This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...
MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...
Abstract: We consider a class of distributed black-box optimization problems where client-side objective functions are accessible only through queries. This setting faces a dual challenge: the ...
Abstract: This paper presents a novel fault-tolerant distributed control framework for integrated active/reactive power optimization in microgrids. The architecture employs Distributed Agent ...
Research shows that sex differences play a substantial role in health and disease progression. To improve basic and translational science and address the existing gap for women’s health research, ...
As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...
ABSTRACT: In this paper, we consider a more general bi-level optimization problem, where the inner objective function is consisted of three convex functions, involving a smooth and two non-smooth ...