Disrupting left superior frontal sulcus selectively impaired perceptual but not value-based decisions, revealing segregated ...

“One of the basic axioms of the rational theory of decision under uncertainty is Savage’s (1954) sure-thing principle (STP). It states that if prospect x is preferred to y knowing that Event A ...

ABSTRACT: Machine learning (ML) has become an increasingly central component of high-energy physics (HEP), providing computational frameworks to address the growing complexity of theoretical ...

This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...

Over the past decade, deep learning (DL) techniques such as convolutional neural networks (CNNs) and long short-term memory (LSTM) networks have played a pivotal role in advancing the field of ...

The brain criticality hypothesis has been a central research topic in theoretical neuroscience for two decades. This hypothesis suggests that the brain operates near the critical point at the boundary ...

Abstract: Graphs are a powerful data structure for representing relational data, and Graph Neural Networks (GNNs) have emerged as effective tools for inference and learning on graph-structured data.

Abstract: This paper introduces the application of attentiontemporal graphic neural networks to enhance traffic flow and reduce delay in software-defined networks (SDN). Graphical Neural Networks (GNN ...