Researchers detect restaurants with elevated risk of foodborne illness in real time using machine learning

Researchers from Boston University improve automatic parameter selection for synthetic data creation

Researchers from MIT train AI to predict recipe ingredients by looking at a photo of food using machine vision and deep learning

Researchers improve film box office success prediction using machine learning transduction algorithms

Researchers in South Korea demonstrate accuracy of 98.8% in diagnosing Parkinson's disease using convoluted neural networks

Rice University researchers are developing an application that writes Java API code snippets using deep learning

Scientists aim to eliminate animal testing by automating the proccess based on existing knowledge about chemical interactions using machine learning

Scientists at the Francis Crick Institute outperform medical models at predicting risk of death in patients with heart disease using machine learning

Scientists develop an artificial neural network that can identify handwritten numbers and molecular handwriting

Scientists produce the largest photogrammetric map of one of the best studied gas hydrate deposits with the use of autonomous underwater vehicles and unsupervised learning

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

Illinois Institutes's Chicago-Kent College of Law researchers predict outcomes of US Supreme Court decisions with 70% accuracy using machine learning

The LawGeex AI algorithm outperforms human lawyers by 9% in identifying issues with historic non-disclosure agreements

Researchers at UC Merced train algorithm to create ground-level images from satellite pictures outperforming conventional interpolation method used for classifying land

Researchers from the National Institute for Materials Science Japan automate creation of knowledge graphs regarding the materials design process using natural language processing

US Department of Energy's SLAC National Accelerator Laboratory accelerates discovery of metallic glass with machine learning by 200 times