Abstract: Broad learning system (BLS) is an effective neural network requiring no deep architecture, however it is somehow fragile to noisy data. The previous robust broad models directly map features ...

The Zcash price prediction reveals that ZEC continues to attract attention due to its strong privacy features and reputation.

Multi-electrode arrays (MEAs) provide a noninvasive interface with sub-millisecond temporal resolution and long-term, ...

Apple’s “App Intents” and Huawei’s “Intelligent Agent Framework” allow the OS to expose app functionalities as discrete actions the AI can invoke. More aggressive implementations use multimodal vision ...

Federated graph learning advances the field of federated learning by enabling privacy-preserving collaborative training on distributed graph data. Conventional federated graph learning methods excel ...

An explosion of user-generated data from online social networks motivates analysis to extract deep insights from this data’s graph at scale, even of social, temporal, spatial, and topical connections.

Abstract: The ability of autonomous vehicles to accurately predict future trajectories is crucial for ensuring safe driving in complex traffic environments. However, current methods exhibit ...