Abstract: Anomaly detection in attribute networks is utilized to discover patterns of individuals or groups that deviate from the majority, and is widely used in areas such as e-commerce and social ...

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This transcript was prepared by a transcription service. This version may not be in its final form and may be updated. Ryan Knutson: Do you guys want to start out by introducing yourselves? Ben Cohen: ...

Abstract: Anomaly detection for time-series data has been viewed widely in many practical applications and caused lots of research interests. A popular solution based on deep learning techniques is ...

A tool for spotting pancreatic cancer in routine CT scans has had promising results, one example of how China is racing to apply A.I. to medicine’s tough problems. Self-service kiosks at the ...

Strengthen your agency’s edge by using AI code detection to spot risky AI-generated sections early and protect quality, security, and client trust. Build a repeatable review process by scanning repos, ...

Developers are navigating confusing gaps between expectation and reality. So are the rest of us. Depending who you ask, AI-powered coding is either giving software developers an unprecedented ...

Vibe coding — the fast-growing trend of using generative AI to spin up code from plain-language prompts — is quick, creative, and great for instant prototypes. But many argue that it's not cut out for ...

SmartAnom is a modular, low-code/no-code anomaly detection framework designed for researchers, engineers, and practitioners. It enables rapid benchmarking, hyperparameter optimization, explainability ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Wheat is a global staple, but its main protein, “gluten,” can trigger severe reactions ...

ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...