The EMBO Journal1d
Leveraging prior knowledge to infer gene regulatory networks from single-cell RNA-sequencing data
Many studies have used single-cell RNA sequencing (scRNA-seq) to infer gene regulatory networks (GRNs), which are crucial for ...
IEEE3d
Phys-Field: Physics-Enhanced Neural Surfaces for Sim(3) Estimation in Robotic Assembly Using a Single RGB Sensor
The framework integrates multiple differentiable neural surfaces to estimate corresponding Sim(3) transformations by minimizing photometric differences between rendered and observed images through ...
Techopedia14d
What Is an Artificial Neural Network (ANN)?
It’s worth noting that artificial neural networks are designed to process large datasets and extract insights that would be too complex for humans to perform independently. Designed to process data in ...
GitHub22d
multilayer-social-network-dataset
Add a description, image, and links to the multilayer-social-network-dataset topic page so that developers can more easily learn about it.
IEEE23d
Cross-Domain Feature Interaction Network for Stereo Image Quality Assessment Considering Difference Information Guiding Binocular Fusion
Abstract: Recently, convolutional neural ... network (CDFINet) for SIQA in this paper, which considers the complementarity between different domain features and realizes binocular fusion between the ...
The New York Times23d
Single Parents Should Get as Much Paid Leave as Couples, Spanish Court Rules
“When a single woman decides to be a mother, the difference is, does she have to delegate the care of her baby to someone else, such as a nanny?” Ms. Vall added. “The baby has to be in the ...
CNBC23d
Here's the difference between a credit card network and card issuer
There are even some companies that act as both a network and an issuer, which allows them to control more of the transaction process. Below, CNBC Select reviews the differences between a credit ...
Phys.org24d
Newly fabricated crystals control interactions between high-frequency phonons and single quantum systems
Researchers at Harvard University and other institutes have introduced a new approach to control the interactions between high-frequency phonons and single solid-state quantum systems. Their ...
C&EN24d
Comparative Analysis of Recurrent Neural Networks with Conjoint Fingerprints for Skin Corrosion Prediction
Previously, skin corrosion assessments required animal testing; however, differences in skin architecture and ... This study aimed to develop deep learning (DL) models based on recurrent neural ...
Frontiers24d
Multi-task learning load time series situational prediction based on gated recurrent neural networks considering spatial correlations
The programming environment utilized Python 3.9 and PyTorch 2.1. The set of parameters for training the GRU-MTL neural network is provided ... spatiotemporal correlations between tasks, which are ...
unite27d
Neural Processing Units (NPUs): The Driving Force Behind Next-Generation AI and Computing
A cornerstone of neural network computation is the concept of weights, which represent the “strength” or “importance” of each neuron’s connection in the network. NPUs integrate these weights directly ...