LinkedIn is using your data to train its AI models. Here’s how to opt out

Disabling this setting prevents your data from being used, but data already used for training can't be taken back ...
Scientific Research Publishing

A New Method to Predict the Mechanical Behavior for a Family of Composite Materials ()

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
IEEE

Online Device Scheduling and Model Partition in Hybrid Asynchronous Split Federated Learning

Abstract: Federated Learning (FL) has attracted significant attention for its capability to collaboratively train neural network (NN) models across multiple data owners while protecting data privacy.
Intuit on MSN

6 steps to train an AI model to do whatever you want

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...
techxplore

Sustainable AI: Physical neural networks exploit light to train more efficiently

Artificial intelligence is now part of our daily lives, with the subsequent pressing need for larger, more complex models. However, the demand for ever-increasing power and computing capacity is ...
IEEE

Convolutional Dynamically Convergent Differential Neural Network for Brain Signal Classification

Abstract: The brain signal classification is the basis for the implementation of brain–computer interfaces (BCIs). However, most existing brain signal classification methods are based on signal ...
GitHub

Graph Neural Network for Heat Transfer Problem

[1] F. Scarselli, M. Gori, A.C. Tsoi, M. Hagenbuchner, and G. Monfardini. The graph neural network model. IEEE Transactions on Neural Networks, 20(1):61 80, 2009.
GitHub

Subgraph-conditioned Graph Information Bottleneck

We aim to build a pre-trained Graph Neural Network (GNN) model on molecules without human annotations or prior knowledge. Although various attempts have been proposed to overcome limitations in ...