International researchers develop NTAC, an AI that identifies neuronal types with 90% accuracy based purely on synaptic connectivity, outperforming traditional shape-based methods.
Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...
Abstract: This letter proposes a parallel physics-informed neural network (PINN) algorithm for solving time-domain electromagnetic simulations. This method first decomposes the global computational ...
Imagine arriving at a busy location with people moving around and a multitude of visual and other sensory cues vying for your ...
Welcome to the official repository for the Audible algorithm, presented in our ASPLOS 2024 paper, "AUDIBLE: A Convolution-Based Resource Allocator for Burstable Virtual Machines in Cloud Platforms." ...
Abstract: The parallel efficient global optimization (EGO) algorithm was developed to leverage the rapid advancements in high-performance computing. However, conventional parallel EGO algorithm based ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results