Human perception of the empirical world involves recognizing the diverse appearances,
or'modalities', of underlying objects. Despite the longstanding consideration of this …

Nowadays, how to estimate vigilance with higher accuracy has become a hot field of
research direction. Although the increasing available modalities opens the door for amazing …

Human perception inherently operates in a multimodal manner. Similarly, as machines
interpret the empirical world, their learning processes ought to be multimodal. The recent …

The widespread use of smart meters in households paves the way for retailers to understand
household patterns through electricity usage data. This insight helps them offer personalized …

Recently, multimodal contrastive learning (MMCL) approaches, such as CLIP, have
achieved a remarkable success in learning representations that are robust against …

The determination of the potential role and advantages of artificial intelligence-based
models in the field of surgery remains uncertain. This research marks an initial stride …

In machine learning, a sub-field of computer science, a two-tower architecture model is a
specialised type of neural network model that encodes paired data from different modalities …

With the rapid advancement of large language models (LLMs) like OpenAI's ChatGPT,
Anthropic's Claude, and Google's Gemini, the technology's potential impact on society is …