IEEE

Learning a Depth Covariance Function

Abstract: We propose learning a depth covariance function with applications to geometric vision tasks. Given RGB images as input, the covariance function can be flexibly used to define priors over ...
IEEE

Parallel Placement of Virtualized Network Functions via Federated Deep Reinforcement Learning

Abstract: Network Function Virtualization (NFV) introduces a new network architecture that offers different network services flexibly and dynamically in the form of Service Function Chains (SFCs), ...

Google Ships WebMCP, The Browser-Based Backbone For The Agentic Web

Google ships WebMCP protocol, letting websites expose structured functions to AI agents and reducing computational overhead ...