To some, METR’s “time horizon plot” indicates that AI utopia—or apocalypse—is close at hand. The truth is more complicated.

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...

A new method analyzes the combination of tumor genetic material (genomics) with deep protein and phosphoprotein characterization (proteomics) using a single-needle core biopsy from a patient's tumor, ...

Abstract: Multi-view clustering (MVC) is a prevalent method for integrating heterogeneous domain-specific information from diverse views. However, most MVC methods assume that all views have complete ...

Abstract: Scaled relative graphs offer a graphical tool for analysis of nonlinear feedback systems. Of specific interest for stability analysis is the scaled graph, a special case of the scaled ...

Introduction: Electroencephalography (EEG) based emotion recognition is pivotal for advancing mobile health monitoring and real-time affective interaction. However, current methodologies face a ...

Abstract: This paper tackles the challenge of recognizing complex emotions by proposing a novel multimodal method that fuses Electroencephalogram (EEG) signals and Semantic Graphs (SGs). The approach ...

Abstract: Major depressive disorder (MDD) is a prevalent and disabling psychiatric disorder. Functional brain networks (FBNs), derived from functional magnetic resonance imaging (fMRI) data, have ...

Abstract: With the increasing application of Automated Guided Vehicles (AGVs) in intelligent manufacturing, an increasing number of smart workshops rely on AGV systems for material handling and ...

Abstract: Graph Neural Networks (GNNs) garnered significant success in modeling graphs due to their powerful capabilities in representation learning and reasoning. However, the lack of explainability ...

Abstract: The accurate analysis of the cost data of power grid project has important construction guiding significance.There are many analyses on the influence of power engineering cost. Therefore, a ...

Abstract: The rapid growth of blockchain has increased exposure to threats such as phishing, Ponzi schemes, and money laundering, making anomaly detection essential for maintaining platform security.