End-to-end spoken language understanding (SLU) predicts intent directly from audio using
a single model. It promises to improve the performance of assistant systems by leveraging …

In this study, we present an effective model All-Trans Retinoic Acid (ATRA)-induced
differentiation of HL-60 cells. The model describes reinforcing feedback between an ATRA-inducible …

While large pre-trained language models accumulate a lot of knowledge in their parameters,
it has been demonstrated that augmenting it with non-parametric retrieval-based memory …

We describe a method for selecting relevant new training data for the LSTM-based domain
selection component of our personal assistant system. Adding more annotated training data …

In this study, we present a novel modeling approach which combines ordinary differential
equation (ODE) modeling with logical rules to simulate an archetype biochemical network, the …

Suspensions of solvent-less, polymer-grafted nanoparticles have previously been reported
to exhibit enhanced elasticity, glassy dynamics, and jamming as temperature is increased. …

Voice-triggered smart assistants often rely on detection of a trigger-phrase before they start
listening for the user request. Mitigation of false triggers is an important aspect of building a …

Cell-free systems offer many advantages for the study, manipulation and modeling of
metabolism compared to in vivo processes. Many of the challenges confronting genome-scale …

Complement is an important pathway in innate immunity, inflammation, and many disease
processes. However, despite its importance, there are few validated mathematical models of …

With the rapid growth of structural genomics, numerous protein crystal structures have
become available. However, the parallel increase in knowledge of the functional principles …