Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
Studying one of the simplest animals, Stanford's Prakash Lab uncovered how it folds itself into complex shapes—revealing new ...
Abstract: Graph neural networks (GNNs) have become the state-of-the-art technology for extracting and predicting data representations on graphs. With increasing demand to accelerate GNN computations, ...
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...
Threat actors have been exploiting a command injection vulnerability in Array AG Series VPN devices to plant webshells and create rogue users. Array Networks fixed the vulnerability in a May security ...
Comcast’s Board of Directors approved the separation of the company’s cable television networks and complementary digital platforms from its remaining businesses to create an independent, publicly ...
This is an official implementation of our paper AutoNAD [IEEE/ASME Transactions on Mechatronics, 2025]. The datasets used in this project need to be download from here (The datasets have been ...
EXCLUSIVE: AMC Networks has partnered with Dark Winds star Jessica Matten’s Indigenous Film & Arts Academy, 7 Forward Entertainment, and the Institute of American Indian Arts to create new ...
Abstract: In recent years, biological neural networks have developed rapidly due to their advantages of fast parallel computing processing speed and strong fault tolerance. This article is dedicated ...
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