Anthropic is joining the increasingly crowded field of companies with AI agents that can take direct control of your local computer desktop. The company has announced that Claude Code (and its more ...
Abstract: The Passive Optical Network (PON) has been evolving continuously in terms of architecture and capacity to keep up with the demand for high-speed Internet access in the access network segment ...
North Korean hackers are deploying newly uncovered tools to move data between internet-connected and air-gapped systems, spread via removable drives, and conduct covert surveillance. The malicious ...
A critical vulnerability in the Junos OS Evolved network operating system running on PTX Series routers from Juniper Networks could allow an unauthenticated attacker to execute code remotely with root ...
U.S. Army personnel may be training for cyberwar, but their own web browsing is quietly feeding the surveillance economy. According to a recent study by the Army Cyber Institute at West Point, ...
The advent of the sixth-generation (6G) networks presents another round of revolution for the mobile communication landscape, promising an immersive experience, robust reliability, minimal latency, ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Abstract: Rotation invariance is a crucial requirement for the analysis of 3D point clouds. However, current methods often achieve rotation invariance by employing specific network designs. These ...
Abstract: Federated Learning is an approach that enables multiple devices to collectively train a shared model without sharing raw data, thereby preserving data privacy. However, federated learning ...
Abstract: Affective brain–computer interfaces (aBCIs) are an emerging technology that decodes brain signals—primarily electroencephalography (EEG)—to monitor and regulate emotional states in real time ...
Abstract: Space-air-ground integrated networks (SAGINs) face unprecedented security challenges due to their inherent characteristics, such as multidimensional heterogeneity and dynamic topologies.