AI agents are no longer a research concept. They book travel, execute trades, draft documents, approve purchases, and interact with ...

Central Banking’s regtech and suptech interviews are in‑depth exploration of the pioneering work at central banks and ...

The line between human and artificial intelligence is growing ever more blurry. Since 2021, AI has deciphered ancient texts ...

A NEWLY published retrospective study has shown that AI, particularly deep-learning algorithms, can significantly reduce the rate of misdiagnosis in paediatric elbow fractures. The study analysed 755 ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

AI healthcare diagnosis is transforming modern medicine by leveraging machine learning to analyze patient data, medical images, and complex biomarkers. In some studies, AI achieves up to 90% ...

5.1 RQ1: How does our proposed anomaly detection model perform compared to the baselines? 5.2 RQ2: How much does the sequential and temporal information within log sequences affect anomaly detection?

An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results. Results ...

Abstract: This paper studies an anomaly detection algorithm system for financial transaction data processing based on deep learning. First, this paper proposes an anomaly detection algorithm system ...

Abstract: The swift advancement of e-commerce has led to an increased transit of magnetic items via air freight, which may jeopardize airplane safety. It is essential to detect and assess the magnetic ...