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 ...
marktechpost

UC Berkeley Researchers Introduce Nerfstudio: A Python Framework for Neural Radiance Field (NeRF) Development

Who isn’t a fan of Iron Man? He looks really cool when he is working in his lab. All the holograms and new gadgets he uses make him look cool. Is it possible to create such a 3D navigable scene (like ...
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 ...