Archer and CSIRO to develop Quantum Machine Learning for fraud detection

The project will build upon CSIRO’s expertise in the field of QML to develop new and innovative QML models. QML has the ...
InsuranceNewsNet

Findings in Machine Learning Reported from City University of Hong Kong (Predictive Analysis for Healthcare Fraud Detection: Integration of Probabilistic Model and ...

By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Data detailed on Machine Learning have been presented. According to news reporting from Hong Kong, People’ s Republic of China, by ...
Worcester Polytechnic Institute (WPI)

Researchers Aim to Take a Bite Out of Illegal Fish Trade

A team of researchers that includes Worcester Polytechnic Institute (WPI) computer scientist Kyumin Lee has developed a DNA ...
TipRanks on MSN

Archer Materials Partners with CSIRO to Advance Quantum Machine Learning for Fraud Detection

The latest update is out from Archer Materials ( (AU:AXE) ).
Labmate Online

UT Dallas-developed AI-powered breath sensor shows promise for early lung, oesophageal cancer detection

Researchers at the University of Texas at Dallas have developed a biosensor that, when integrated with artificial ...
Drexel University

Sliding Out of My DMs: Young Social Media Users Help Train Machine Learning Program to Flag Unsafe Sexual Conversations on Instagram

In a first-of-its-kind effort, social media researchers from Drexel University, Vanderbilt University, Georgia Institute of Technology and Boston University are turning to young social media users to ...
Nasdaq

Mainz Biomed Secures Public Funding from ISB for Pancreatic Cancer Early Detection Project

Mainz Biomed N.V., a molecular genetics diagnostic company focused on early cancer detection, announced that its pancreatic cancer project will receive public funding from the Investitions- und ...
UC San Francisco

Fetal Heart Defect Detection Improved by Using Machine Learning

UC San Francisco researchers have found a way to double doctors’ accuracy in detecting the vast majority of complex fetal heart defects in utero – when interventions could either correct them or ...