Realizing multi-modal information recognition tasks which can process external information
efficiently and comprehensively is an urgent requirement in the field of artificial intelligence …

Mental health problems are an increasingly common social issue severely affecting health
and well-being. Multimedia processing technologies via facial expression show appealing …

To enable smart home applications, embedding home monitoring systems with different
sensors can be a feasible remedy to capture the multimodal sensory information from daily …

Neuromorphic computing is expected to realize fast and energy-efficient artificial neural
networks and address the inherent limitations of von Neumann architectures in dedicated …

Bio-inspired computing promises fundamentally different ways to advances in artificial
intelligence with extreme energy efficiency. Memristive technologies due to the non-volatility …

Video sentiment analysis can effectively establish the relationship between the emotion
state and the multimodal information, while still suffer from intensive computation and low …

We present a circuit design of the hierarchical attention network for multimodal affective
computing, which can be used in mental health monitoring. Specifically, a kind of cost …

With the development of autonomous driving technology, as a part of the intelligent
transportation system, traffic sign recognition (TSR) has attracted more and more attention …

As global data generation continues to rise, there is an increasing demand for revolutionary
in-memory computing methodologies and efficient machine learning solutions. Despite …

This article explores the pinning synchronization of fractional memristor-based neural
networks under the effect of neutral delays and reaction–diffusion. First, we introduce neutral …