K machine promises performance that can scale to 32 chip servers and beyond but immature stack makes harnessing compute ...

The performance of skilled behaviors requires a balance between consistency and adaptability. Although the neural mechanisms that regulate this balance have been extensively studied at systems and ...

This study presents a valuable tool named TSvelo, a computational framework for RNA velocity inference that models transcriptional regulation and gene-specific splicing. The evidence supporting the ...

Earlier this month, I started the review of the Intel-based UP AI development kits with an unboxing of the UP TWL, UP Squared ...

This project is a Final project at B.S.c. Object detection system for visually impaired people using object detection and tracking, distance measuring and alerts in 3D surround sound. People Detector ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

This project implements real-time object detection using OpenCV and a pre-trained SSD MobileNet V3 model. The application can identify and label various objects from a webcam feed or uploaded images ...

Abstract: This research explores the challenge of dynamic environment object detection. Changing environment factors adversely affect the feature detection and robustness of the model. The approach ...