Critical Semiotics in the Age of Generative AI While the world celebrates the creativity of machines, human language is under ...

Mobile SEO has become a critical factor in online success. This article presents real-world stories and strategies from ...

Aug 04, 2025 - Lina Romero - 2025 is seeing an unprecedented surge of cyber attacks and breaches. AI, in particular, has introduced a whole new set of risks to the landscape and researchers are ...

Model Context Protocol (MCP) use is increasing in popularity for connecting AI agents to data sources, and other services.

Diffusion probabilistic models (DPMs) have achieved impressive success in high-resolution image synthesis, especially in recent large-scale text-to-image generation applications. An essential ...

The NBA has launched a statistics section where it independently scores the different aspects involved in a dunk, from which ...

Model considers two DM particles, one stable and one unstable, as well as a vector mediator similar to the photon but with mass, which would promote interaction with ordinary matter particles.

Random numbers often serve as the backbone for many security solutions in diverse domains such as cryptography, side channel leakage prevention, and moving target defense. However, generating true ...

Deep neural network (DNN) hardware accelerators enable the execution of complex DNN inferences on resource-constrained IoT devices. Inference performance and energy figures depend on how the DNN ...

Particle filtering methods provide powerful techniques for solving non-linear state-estimation problems, and are applied to a variety of application areas in signal processing. Because of their vast ...

SQL SECURITY DEFINER works incorrect for parameterized views with parallel replicas #84188 Open pufit opened 2 weeks ago ...

Deep Reinforcement Learning in Parameterized Action Space Deep Reinforcement Learning in Parameterized Action Space. Matthew Hausknecht and Peter Stone. In Proceedings of the International Conference ...