At BIT Mesra in Ranchi, a three-woman team has trained AI to detect and analyse lunar craters. The ISRO-backed work could support crater dating, navigation planning and future Moon landing missions.

Abstract: This work presents a low-cost FPGA-based accelerator for real-time object detection and classification using a compressed YOLOv3-Tiny model. Existing FPGA-based CNN accelerators excel in one ...

We introduce YOLO-IOD, an integrated and real-time IOD framework, and pinpoint three causes of forgetting: foreground-background confusion, parameter interference, and misaligned knowledge ...

The core file description is as follows: We have provided the complete implementation codes of three core innovative modules of GDD-YOLO, which are the key to optimizing the accuracy and computational ...

A non-Japanese-speaking first-time visitor used Apple’s new in-ear translation feature to connect with locals at bars, sushi classes and even a fire ritual. By Ruffin Prevost I knew my efforts to ...

Accurate and efficient crop row detection is essential for the visual navigation of agricultural machinery. However, existing deep learning–based methods often suffer from high computational costs, ...