Artificial intelligence operations can place different demands on storage during training, inference etc. We look at NAS, SAN and object storage for AI and how to balance them for AI projects.

Interferometric scattering microscopy (iSCAT) is a label-free imaging technique that enables detection of nanoscale objects ... and present worked examples using synthetic datasets.

Abstract: Aerial object detection is an important task and has received significant attention in recent years. Aerial images typically depict small and sparse instances against a simple background.

TWC Forum used vBulletin 4 software. We did, multiple times, try to upgrade to vB5, but it did not go through successfully. The URLs changed completely and that was bad! Moreover, support for ...

We introduce a novel open-set benchmark for remote sensing, accompanied by a self-built Vision Question Answering (VQA) remote sensing dataset, TerraVQA, providing a platform for researchers to ...

Global growth is projected to decline after a period of steady but underwhelming performance, amid policy shifts and new uncertainties. Global headline inflation is expected to decline further, ...

Abstract: Underwater object detection for robot picking has attracted a lot of ... Firstly, the currently available datasets basically lack the test set annotations, causing researchers must compare ...

Crowd-SAM is a novel few-shot object detection and segmentation method designed to handle crowded scenes. Generally, object detection requires extensive labels for training, which is quite ...