WinBuzzer

DeepMind’s Gemini Robotics-ER 1.6 Lets Spot Read Gauges

Google DeepMind has released Gemini Robotics-ER 1.6, an embodied reasoning model enabling Boston Dynamics' Spot to ...

Using Displacement Sensors for Real-Time Condition Monitoring

Learn how laser, eddy and other displacement sensors work and how they plug into IIoT PdM systems. They’re game changers on ...
IEEE

Anomaly Detection Using Data-Driven Sparse Sensors: Combination of Modal Representation and Sensor Optimization for Sensing of Targeted Variable

Abstract: We propose an anomaly detection method based on modal representation and a noise-robust sparse sensor position optimization method. We focus on the detection of anomalies in global sea ...
IEEE

Anomaly Detection in Complex Systems Using Extended Isolation Forest and Denoising Autoencoder

Abstract: In this paper, we propose an anomaly detection model based on Extended Isolation Forest and Denoising Autoencoder, which achieves unsupervised anomaly detection with good generalization ...
Insider Monkey

Accenture (ACN) Acquires Advanced AI Technology Solution From Avanseus

Accenture plc (NYSE:ACN) is one of the best information technology services stocks to buy now.. On February 24, Accenture plc (NYSE:ACN) reported that it had acquired an advanced AI technology ...
GitHub

Oil & Gas: Production Forecasting and Anomaly Detection

The Volve oil field was an offshore field in the Norwegian North Sea, operated by Equinor (formerly Statoil) from 2008 to 2016. In June 2018, Equinor made history by releasing the complete dataset ...
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

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, ...
Scientific Research Publishing

An, J. and Cho, S. (2015) Variational Autoencoder Based Anomaly Detection Using Reconstruction Probability. Special Lecture on IE, 2, 1-18.

ABSTRACT: Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera ...