ENVIRONMENT: An Investment company is searching for a talented and driven Data Scientist to join their innovative and growing team based in Durbanville, Cape Town. This is an exciting opportunity to ...

From late April 2026 to mid-June 2026, Microsoft Defender Experts observed increased ACR Stealer activity across customer ...

Overview:  Compares the leading computer vision APIs, multimodal AI models, and open-source vision frameworks available in ...

Portable screen-printed carbon electrode (SPCE) biosensors offer a rapid and low-cost way to detect microcystin-lysine-arginine (MC-LR), an extremely potent toxin produced by cyanobacteria during ...

Most people assume object tracking for autonomous flight is very complex, but it doesn’t have to be that way. All you need is ...

Digital addiction (DA) has emerged as a significant global concern, yet traditional diagnostic methods relying on self-report questionnaires face subjective bias and threshold inconsistencies. Recent ...

Background & Motivation Background: Open-Vocabulary Object Detection (OVOD) requires detectors to recognize categories not annotated during training. The mainstream approach leverages the cross-modal ...

Abstract: Recently, new paradigms of camouflaged object detection (COD), such as referring COD (Ref-COD) and collaborative COD (Co-COD), have been proposed to enhance task performance. However, there ...

Based on clinical data from the first 24 hours of ICU admission, we used a two-stage feature selection process combining light gradient boosting machine (LightGBM) and Shapley additive explanation ...

DetectAnyLLM is an AI-generated text detection (i.e., Machine-Generated Text Detection) model based on the Fast-DetectGPT framework, optimized using DDL (Direct Discrepancy Learning). DDL is a novel ...

Abstract: Abstract: In recent times, deep learning has emerged as one of the powerful tools in the process of object detection. The deep learning algorithms that are used in object detection are ...