Psychology Today

Brain-Computer Interfaces Boosted by Novel AI Algorithm

The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...
GitHub

Hands-On Graph Neural Networks Using Python

What is this book about? Graph neural networks are a highly effective tool for analyzing data that can be represented as a graph, such as social networks, chemical compounds, or transportation ...
eLife

MotorNet: a Python toolbox for controlling differentiable biomechanical effectors with artificial neural networks

The authors present "MotorNet", a useful software package to train artificial neural networks to control a biomechanical model of an effector. The manuscript provides solid evidence that MotorNet is ...
IEEE

Dual-Mode Method for Generating Adversarial Examples to Attack Deep Neural Networks

Abstract: Deep neural networks yield desirable performance in text, image, and speech classification. However, these networks are vulnerable to adversarial examples. An adversarial example is a sample ...
IEEE

Example Forgetting: A Novel Approach to Explain and Interpret Deep Neural Networks in Seismic Interpretation

Abstract: In recent years, deep neural networks have significantly impacted the seismic interpretation process. Due to the simple implementation and low interpretation costs, deep neural networks are ...
GitHub

# Hands-On Graph Neural Networks Using Python

<a href="https://www.packtpub.com/product/hands-on-graph-neural-networks-using-python/9781804617526?utm_source=github&utm_medium=repository&utm_campaign=9781804617526 ...