AI case studies from the real-world

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

Spot helps firms address employee grievances anonymously using chatbot

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

IUT Annecy aims to beat the current record for the fastest bicycle travelling across flat road by creating the optimal aerodynamic design using machine learning

MIT Researchers design tool to optimise product designs according to optimal efficiencies and performance objectives

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

Airbus used deep machine vision to detect clouds in satellites decreasing the error rate from 11% to 3%

NASA and Autodesk reduce the weight of designs for space craft lander by 35% using machine learning for generative design

Researchers from the University of California San Diego trained gliders to autonomously navigate atmospheric thermals with reinforcement learning

The US Department of Defense aims at increasing drone effectiveness by analysing collected footage with machine vision

BERG is attempting to identify genetic predisposition to certain conditions using machine learning with promising Phase I study results

BERG is developing targeted cancer drugs using machine learning with promising Phase I study results

Cambridge researchers develop a system to analyse cancer research papers to discover previously unexplored molecular biology links

DeepMind develops a highly accurate machine learning method for predicting protein structures

GlaxoSmithKline (GSK) plans to accelerate drug discovery as well as new applications for existing drugs using machine learning

GlaxoSmithKline (GSK) plans to reduce drug discovery to trial time from six years to 12 months using machine learning models to predict molecular behaviour

Healx's scientist predicts effectiveness of combinations of antibiotics using machine learning

MIT scientists develop system that crowdsources data to speed up drug discovery using neural networks