Vector-borne diseases pose growing public health risks, yet reliable forecasting is often hindered by limited data and complex, delayed transmission processes. This study introduces a data-driven ...

Sparse identification of nonlinear dynamical systems is an important project, directly addressing the physics community’s long-standing goal of data-driven discovery. Although many effective methods ...

Scaling large language models (LLMs) is expensive. Every token processed during inference and every gradient computed during training flows through feedforward layers that account for over two-thirds ...

Without patch: d/dx [x^7 + x] = 0 With patch: d/dx [x^7 + x] = 7x^6 + 1 Without patch: Is 113 prime? No, 113 is not prime With patch: Is 113 prime? Yes, 113 is a prime number True 1-bit LLMs have no ...

The easiest way to start with tabmat is to use the convenience constructor tabmat.from_pandas. TL;DR: We provide matrix classes for efficiently building statistical algorithms with data that is ...

Abstract: Orbital lymphoproliferative disorders (OLPDs) are complex orbital mass-like lesions ranging from benign to malignant. Precise preoperative diagnosis of OLPDs holds profound importance in ...

Animals smelling in the real world use a small number of receptors to sense a vast number of natural molecular mixtures, and proceed to learn arbitrary associations between odors and valences. Here, ...

In olfactory systems, convergence of sensory neurons onto glomeruli generates a map of odorant receptor identity. How glomerular maps relate to sensory space remains unclear. We sought to better ...

Center for Superfunctional Materials, Department of Chemistry, Ulsan National Institute of Science and Technology, 50 UNIST-gil, Ulsan 44919, Korea Article Views are the COUNTER-compliant sum of full ...

The Locally Competitive Algorithm (LCA) is a biologically plausible computational architecture for sparse coding, where a signal is represented as a linear combination of elements from an ...