A new tangible user interface for machine learning document review

This paper describes a tool for assisting lawyers and paralegal teams during document review in eDiscovery. The tool combines a machine learning technology (CategoriX) and advanced multi-touch interface capable of not only addressing the usual cost, time and accuracy issues in document review, but also of facilitating the work of the review teams by capitalizing on the intelligence of the reviewers and enabling collaborative work.     

A radiomics pipeline dedicated to Breast MRI: validation on a multi-scanner phantom study

Magnetic Resonance Materials in Physics, Biology and Medicine - Quantitative analysis in MRI is challenging due to variabilities in intensity distributions across patients, acquisitions and...     

Temperature Effects on a Non-Volatile Memory Device with Ferroelectric Capacitor

The temperature effects on a ferroelectric non-volatile memory latch were measured. The device is based on a design from Radiant Technologies Inc. utilizing a discrete ferroelectric capacitor. The effects measured include functionality, I-V characteristics and retention. The range of temperatures for which the device was tested is –107°F to +302°F. The results are compared with measurements made at room temperature for the device. Retention measurements of the device at elevated temperatures allow predictions of retention performance under normal operating conditions. Potential applications of this device in harsh environments which include aerospace, industrial and automotive are presented.