A newly discovered vulnerability could allow cybercriminals to silently hijack the artificial intelligence (AI) systems in self-driving cars, raising concerns about the security of autonomous systems ...
The human brain is organized into large networks. One important brain network is the Action Mode Network, which controls functions related to goal-directed behavior. In group-averaged data, this ...
Climate change is one of the greatest challenges facing humanity, and machine learning approaches are a great solution to tackle this problem. In 2019, a group of machine learning experts developed a ...
Abstract: In this article, we consider a distributed learning problem in a subnetwork zero-sum game, where agents are competing in different subnetworks. These agents are connected through ...
Emotional disorders are essential manifestations of many neurological and psychiatric diseases. Nowadays, researchers try to explore bi-directional brain-computer interface techniques to help the ...
Abstract: Deep neural network (DNN) model compression is a popular and important optimization method for efficient and fast hardware acceleration. However, the compressed model is usually fixed, ...
The Yggdrasil Network is an IPv6 overlay network that aims to create a decentralized and encrypted mesh network. It does this by treating networks as leaves in a binary tree. Being an overlay network, ...
In this work, we extend to the multivariate case the classical correlation analysis used in the field of network physiology to probe dynamic interactions between organ systems in the human body. To ...
The human brain is organized into large networks. One important brain network is the Default network, which enables cognitive functions such as social thinking, memory, and reward. In group-averaged ...
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