India Today

Move over, NASA, this Jharkhand AI breakthrough could guide future space missions

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.
IEEE

Low-Cost FPGA-Enhanced CNN Accelerator for Real-Time YOLO Object Detection and Classification

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 ...
GitHub

The collection of pre-trained, state-of-the-art AI models.

va-cnn View Adaptive Neural Networks (VA) for Skeleton-based Human Action Recognition Pytorch 1.2.7 and later Mar 2017 patchcore PatchCore_anomaly_detection Pytorch 1.2.6 and later Jun 2021 glass A ...
IEEE

Real-Time Object Detection and Classification using YOLO for Edge FPGAs

Abstract: Object detection and classification are crucial tasks across various application domains, particularly in the development of safe and reliable Advanced Driver Assistance Systems (ADAS).