Objective: We performed this study to assess the quality of guidelines, consensus statements, and standards in the field of AI for medicine and to provide a foundation for recommendations about the ...

Abstract: In this article, we present a novel dual control strategy for uncertain linear systems based on targeted harmonic exploration and gain-scheduling with performance and excitation guarantees.

We present LFM2-Audio-1.5B, Liquid AI's first end-to-end audio foundation model. Built with low-latency in mind, the lightweight LFM2 backbone enables real time speech-to-speech conversations without ...

Abstract: Motivated by modern applications such as computerized adaptive testing, sequential rank aggregation, and heterogeneous data source selection, we study the problem of active sequential ...