Abstract: Driver distraction remains a significant factor in road accidents, necessitating efficient and real-time monitoring systems. This study proposes an advanced driver distraction detection ...

AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems ...

Illustration of PointKAN. (a) Overview of one stage in PointKAN. The entire model consists of four stages (N = 4). In each stage, local features are first transformed using a Geometric Affine Module ...

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...

This is an official pytorch implementation of our paper "SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization". In this paper, we ...

Dr. James McCaffrey of Microsoft Research explains how to train a network, compute its accuracy, use it to make predictions and save it for use by other programs. This is the second of two articles ...

An acoustic hologram is crucial in various acoustics applications. The reconstruction accuracy of the acoustic field from the hologram is important for determining the performance of the acoustic ...