AI case studies from the real-world

Auto1 leverages machine learning to connect buyers and sellers of second hand cars across Europe

Lyft delivered a 40% increase in potentially fraudulent users detected without increasing false positives by using neural networks

Uber conducts background checks on its drivers using Checkr's AI platform

Ryanair monitors the performance of its online service in real time and identifies root cause of issues in minutes compared to hours previously using machine learning

Singapore's Changi airport aims to speed passengers through its facility with facial recognition

Trustwave launches tool to automate social media profile matching using facial recognition

Facebook and CrowdAI researchers develop a machine learning method to identify geographic areas heavily affected by natural disasters

Paypal keeps fraud losses at about one-third of industry average using machine learning and deep neural networks to predict whether a transaction is fraudulent or normal

eBay research identifies 40% of credit card fraud with high precision automatically using machine learning

Chinese authorities trial facial recognition technology to identify parallel traders at Hong Kong-Shenzhen border

Dutch police plan to use machine learning to detect illegal substances sent in the mail based on X-rays

HM Prison Service trials facial recognition to identify visitors and reduce contraband

Hanwha Aerospace supply Korean military with SGR-A1 autonomous sentry gun to protect their border with North Korea

New Delhi Police reunites 2900 children who were in temporary care institutions with their families using facial recognition

One concern optimises emergency crews distribution during natural disasters with machine learning

Orlando Police Department cross-references faces against persons of interest in a pilot use of facial recognition technology

Patriot One are developing concealed weapon identification from deploying machine learning on radar-generated images

Pentagon research project to build threat warning system to counter North Korean nuclear programme.

Smiths Detection detects lithium-ion batteries in airport luggage using deep learning

The EU to pilot automated border-control system to enhance security at borders

The US Department of Homeland Security plans to pilot identifying travellers leaving the United States via automobile using a facial recognition system

The identifies impostors at airports with facial recognition technology

University of Southern California researchers predict risk of violent protest with a Twitter-based model

West Midlands Police anticipates violent crime with predictive policing using machine learning

Wildlife Protection Solutions combats illegal wildlife poaching with deep learning

The Zoological Society of London is preventing poaching with machine vision and machine learning

Beijing Police identify people by their walking gait from up to 50 metres away

GovTech Singapore to instal facial recognition technology to 110,00 public lampposts

Homeland Security tests facial recognition technology around the White House

NYPD has made 2,878 arrests in five years using facial recognition technology