Stanford University Medical uses deep convolutional neural networks to predict skin cancer as well as dermatologists

Stanford University Parker Institute for Cancer Immunotherapy predict childhood leukemia patients relapse with 85% accuracy using machine learning

Stanford University trained deep neural networks to predict skin carcinomas from images with the same accuracy as determatologists

Sun Yat-sen University researchers predict high myopia for young adults at clinically acceptable levels 8 years in advance

The University of Alberta aims to ensure the safety and independence of seniors using deep learning and machine vision

UCL researchers optimise generated training set data for use in machine learning to decrease data requirements and improve model robustness

Universidad de la Republica de Uruguay researchers successfully identify varying types of bat species using machine learning to evaluate audio signals

University of Alberta researchers create a program which cannot lose at checkers using AI planning algorithms

University of California San Francisco researchers use principal component analysis to compare medical treatment outcomes across different studies

University of Maryland researchers identify 10% of 150K plant species worldwide as being threatened by extinction

University of Melbourne researchers predict consumer beer preference with 82% accuracy using biometric measures

University of Nottingham uses machine learning to beat doctors at predicting who will have heart attacks over the next ten years that could result in an additional 355 additional lives being saved

University of Rochester researchers have developed an app that monitors social media to identify health risks posed by restaurants using natural language processing and machine learning

University of Toronto researchers prevents facial image recognition by creating an adversarial AI program

University of Washington researchers built the DeepSqueak neural net program to analyse mouse noises

China's Ministry of Education grades students's essays in one in four Chinese schools using deep learning

MIT AI Lab predicts Alzheimer's disease before close family members with advanced motion detection and analysis with machine learning

MIT Department of Mechanical Engineering developed smart power outlets that distinguish dangerous electrical from benign spikes with 99.95% accuracy with machine learning

Santa Clara University improves pedestrian safety by automatically detecting approaching people and triggering a crosswalk signal

Transdev North America is ordered to stop self-driving school bus pilot project due to the participation of children

University of Kansas Medical Center identify drug interactions causing adverse effects in patients using a new method increasing accuracy by 10%

US and Canada schools achieve a 70% decrease in students vaping at bathrooms with the use of machine learning

Dreambox offers students larger and faster gains in achievement through AI adaptive learning according to a Harvard report

Guilford College improves Wi-Fi and Bluetooth wireless services using machine learning

Researchers from Warsaw University of Technology identify irises as live or dead with a mean accuracy of 98.94% using convolutional neural networks

United World College of South East Asia is providing security to its digital education by tackling cyber threats using machine learning

University of Queensland researchers reduce amount of time needed to process images of coral reef to assess health using machine learning

Yixue Squirrel AI Learning maximises students' progress through a individualised AI-powered adaptive learning system

Coursera launches employee learning and skill gap assessment tool for businesses using machine learning

Georgia State University improved on-time enrolment by 3.3 percentage points using a machine learning chatbot to guide students during the process