Researchers at University Medicine Oldenburg have developed an AI tool that delivers fewer false-positive results than ...

ORCA Computing, a leading quantum computing company, today announced a collaboration with ST Engineering to advance ...

A 4-channel wearable seizure detection algorithm performance approaches the level of expert epileptologists for the detection of electrographic seizures.

For nearly a decade, the financial industry has been obsessed with the wrong race. Banks have focused on who can deploy the ...

Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...

Security remains a dominant challenge in remote health monitoring. Medical data is deeply sensitive, and breaches can expose patients to identity theft, insurance exploitation or targeted cyberattacks ...

The Atom and the Algorithm: Nuclear Energy and AI are Converging to Shape the Future Writers and futurists have long echoed Alvin and Heidi Toffler’s idea that “the future arrives too fast…and in the ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, ...

For decades, the search for extraterrestrial intelligence has been defined more by silence than discovery, but that balance may be starting to shift. As new telescopes, algorithms, and theoretical ...

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 ...

Abstract: In recent years, Artificial Intelligence for IT Operations (AIOps) has gained popularity as a solution to various challenges in IT operations, particularly in anomaly detection. Although ...