Google ships WebMCP protocol, letting websites expose structured functions to AI agents and reducing computational overhead ...
The main challenge for Source-free Universal Domain Adaptation (SF-UniDA) is determining whether covariate-shifted samples belong to target-private unknown categories. Existing methods tackle this ...
Abstract: Cyberattacks pose a significant threat to internet security and may cause great damage to businesses. Machine learning methodologies have been widely used to detect cyber intrusions. This ...
This dynamic test added server-side logic, persistence across restarts, session-based admin auth, and a post-build refactor, going beyond static page generation. Both environments required repeated ...
Other platforms are not officially supported yet; you can try installing your own arduino-cli and pointing the extension to it, and help is needed for other platforms. IntelliSense data ...
Abstract: Federated Learning is a machine learning methodology that emphasizes data privacy, involving minimal interaction with each other’s systems, primarily exchanging model parameters. However, ...