Advanced imitation learning with structures like the transformer is increasingly
demonstrating its advantages in robotics. However, deploying these large-scale models on …

Deep learning continues to re-shape numerous fields, from natural language processing
and imaging to data analytics and recommendation systems. This report studies two …

Foundation model (FM) powered agent services are regarded as a promising solution to
develop intelligent and personalized applications for advancing toward Artificial General …

This paper explores the problem of deploying machine learning (ML)-based object detection
and segmentation models on edge platforms to enable realtime caveline detection for …

Recent advances in big data and artificial intelligence have led to active research in emotion
recognition based on multimodal transformer models. Although these multimodal …

The deployment of transformer models on edge devices like smartphones and tablets is
pivotal for leveraging machine learning benefits in real-world scenarios. However, it brings …

This paper addresses the challenge of deploying machine learning (ML)-based
segmentation models on edge platforms to facilitate real-time scene segmentation for …

The deployment of transformer models on edge devices like smartphones and tablets is
pivotal for leveraging machine learning benefits in real-world scenarios. However, it brings …

Abstract Machine learning (ML) has become ubiquitous, integrating into numerous real-life
applications. However, meeting the computational demands of ML systems is challenging …