MicroEJ and Boon Logic Partner to Simplify Edge AI with Unsupervised Learning for All Embedded Devices

Pico AI IP powered by Boon Logic and MicroEJ provides unsupervised machine learning at the Edge The endeavor brings ...
Crowdfund Insider

Haiqu: Quantum Computers Better at Anomaly Detection

Haiqu, a quantum software company, said it has demonstrated that today’s quantum computers could detect anomalies more ...
Scientific Research Publishing

Covariant-Scale: Riemannian Manifold Learning for Scale-Invariant Video Anomaly Detection ()

Video-Based Anomaly Detection, Urban Surveillance, Scale-Projective Ambiguity, Riemannian Manifold, Scale-Covariant Tracking, ...
Hosted on MSN

Computationally efficient anomaly detection achieved through novel dual-lighting model

In a bid to improve quality control and reduce production errors, manufacturers are increasingly adopting automated anomaly detection systems. These systems automatically identify defects in ...
American Banker

Quantum startup claims advance in fraud detection technique

Haiqu's new encoding technique allows quantum computers to process high-dimensional financial data, showing improved ...
Electronic Design

Explainable AI for Anomaly Detection

What is explainable AI (XAI)? What are some of the use cases for XAI? What are the technology requirements for implementing XAI? Anomaly detection is the process of identifying when something deviates ...
insideHPC

Research Highlights: MIT Develops First Generative Model for Anomaly Detection that Combines both Reconstruction-based and Prediction-based Models

Kalyan Veeramachaneni and his team at the MIT Data-to-AI (DAI) Lab have developed the first generative model, the AutoEncoder with Regression (AER) for time series anomaly detection, that combines ...