Quantum computing poses a real and growing threat to established cryptographic algorithms like RSA and Elliptic Curve Cryptography (ECC), which form the backbone of digital security for DLT networks ...

A recent MacSync Stealer version no longer requires users to directly interact with the terminal for execution. The developers of a macOS malware named MacSync Stealer have updated their delivery ...

Nutanix, a leader in hybrid multi-cloud computing, is introducing new capabilities to its Nutanix Cloud Platform (NCP) solution—designed to give enterprises greater flexibility to deploy and govern ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

All of modern mathematics is built on the foundation of set theory, the study of how to organize abstract collections of objects. But in general, research mathematicians don’t need to think about it ...

Abstract: Several interesting problems in multirobot systems can be cast in the framework of distributed optimization. Examples include multirobot task allocation, vehicle routing, target protection, ...

(1) ''GEO satellite constellation'' plays the role of ''Space-based Cloud,'' offering functionalities such as resource scheduling, network management, and maintaining orbit information, but only ...

Abstract: A distributed multiagent deep reinforcement learning algorithm (DMADRLA) with theoretical guarantees is proposed for the distributed nonconvex constraint optimization problem. This algorithm ...

Background: Assessing catheter stability during ablation procedures is crucial. The current stability algorithm relies on end-expiration reference frame (Gated), requiring a full respiratory cycle ...

Amsterdam’s struggles with its welfare fraud algorithm show us the stakes of deploying AI in situations that directly affect human lives. What Amsterdam’s welfare fraud algorithm taught me about fair ...

As one of the important statistical methods, quantile regression (QR) extends traditional regression analysis. In QR, various quantiles of the response variable are modeled as linear functions of the ...