Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

How can a small model learn to solve tasks it currently fails at, without rote imitation or relying on a correct rollout? A team of researchers from Google Cloud AI Research and UCLA have released a ...

Abstract: Foetal anomaly detection is a critical task in prenatal care, requiring early diagnosis for appropriate medical intervention. However, the scarcity of annotated ultrasound data limits the ...

WASHINGTON — True Anomaly, a defense-focused space technology startup based in Colorado, hired satellite industry executive Sarah Walter as chief operating officer, the company announced Sept. 2. The ...

Dr. McBain studies policies and technologies that serve vulnerable populations. On any given night, countless teenagers confide in artificial intelligence chatbots — sharing their loneliness, anxiety ...

Introduction: Recent advances in artificial intelligence have created opportunities for medical anomaly detection through multimodal learning frameworks. However, traditional systems struggle to ...

Abstract: As industrial IoT networks evolve, they become increasingly vulnerable to cyberattacks, such as Denial of Service and backdoor attacks, which lead to anomalies in data streams (e.g., unusual ...