An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Abstract: The decentralized nature of traditional inter-domain routing protocols may lead to several issues, including convergence issues and proneness to misconfiguration. In response to these ...
These advantages have set the stage for network tools powered by AI and ML to reach deeper into service provider networks and back-office systems as a predictive resource capable of correlating the ...
Chinese and Singaporean researchers have developed a defense mechanism that poisons proprietary knowledge graph data, making ...
Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
Abstract: Multi-agent reinforcement learning (MARL) requires effective communication strategies to solve complex control tasks over uncertain communication channels. This paper explores a ...
Crucially, detection and response must be unified across identity and data layers. An alert about unusual data access is meaningless if it is not correlated with identity risk signals. Autonomous ...