Single neurons in mouse sensorimotor cortex are organized by their activity features into distinct subpopulations with area-spanning footprints whose boundaries align closely with anatomical and ...

Abstract: The trend of integrating different distributed generation sources into the existing grid have increased the probability of power quality disturbances to a threatening level. Eventually, ...

Abstract: Most power systems’ approaches are currently tending towards stochastic and probabilistic methods due to the high variability of renewable sources and the stochastic nature of loads.

As AI models move from design to production, mining engineers face a double-faceted challenge: delivering real-time performance on embedded devices with ...

This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...

Google LLC has disrupted NetNut, one of the largest residential proxy networks in operation, degrading a service that had ...

AI’s “backbone” increasingly means energy, infrastructure, and matrix math powering massive next-generation computing systems.

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

Tensordyne says logarithmic computing could reduce AI inference costs and power demands, offering an alternative to conventional chip designs.

Allen Institute and University of Washington postdoctoral researcher Denis Turcu uses computational models to study how the ...

We have included all the codes for estimating intensity functions with smoothing splines, estimating time-varying neural networks, and simulation studies in their folders respectively. Codes and ...