Tellius, the AI analytics firm, today announced the launch of Agent Mode, a significant enhancement to Kaiya—the world's most robust AI Analyst—designed to drive massive time savings and democratize ...

A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy In Computer Science and Engineering. This dissertation focuses on improving anomaly detection ...

Anomaly detection in the context of data science is detecting a data sample that is out of the ordinary and does not fit into the general data pattern (or an outlier). This deviation can result from a ...

Imagimob AI, a development platform for building tinyML applications for edge devices, adds support for deep learning anomaly detection. Deep anomaly detection—the identification of rare items, events ...

In a world that's growing more digital and interconnected by the day, fraud has taken on new dimensions, often dealing crippling blows to business. From online transactions to sensitive data ...

A lot of software developers are drawn to Python due to its vast collection of open-source libraries. Lately, there have been a lot of libraries cropping up in the realm of Machine Learning (ML) and ...

In his recent research, technology thought leader Lakshminarayana Reddy has introduced a state-of-the-art blueprint for addressing the ever-increasing risk of credit card fraud. The objective of his ...