Using machine learning to fight crime

Machine learning has been increasingly used in crime fighting in recent years, from early experiments in predictive policing to the use of facial recognition technology in China.  Similar technology has been deployed in airport security, whilst smart image recognition has also allowed CCTV to take on predictive capabilities.

A recent project from researchers at the Forensics and National Security Sciences Institute (FNSSI) has used machine learning to better profile criminals, with a specific focus on the DNA contained in samples.

“There is a massive amount of data that is not being considered, simply due to our limited capability as human beings,” the researchers explain.

Probabilistic Assessment

Read the full story by

Tags:

RELATED READS
New report examines trends in government innovation Algorithm aims to provide earlier treatment for bone marrow complications

From our Network

6 Top EdTech Trends To Watch In 2017 

5 Ways To Jumpstart Your Restaurant’s Employee Training Program

6 Steps To Find Your Instructional Design Dream Job

6 Ways To Know If Your Learning Management System Is Worth The Investment

4 Tips To Infuse The Human Aspects Of Education Into eLearning