Researchers at UCLA develop a convolutional neural networks system that detects prostate cancer as well as experienced radiologists in detecting prostate cancer

Researchers develop non-invasive visual biomarkers of ageing using deep neural networks

Rhön-Klinikum AG attempted to accelerate diagnosis of rare diseases using cognitive computing but has since moved on to different projects

Scientists at Institute Gustave Roussy predict immunotherapy efficacy in patients with machine learning

Scientists automate detection of polyps during colonoscopy using deep learning

Stanford University researchers plan to improve palliative care by predicting mortality of patient with deep learning

The CMS Measure Development reduced research time from months to moments through machine learning and natural language processing

The University of Alberta and IBM can predict schizophrenia with 74% accuracy by looking at images of the brain's blood flow

Translational Genomics Research Institute significantly improves paediatric cancer last resort treatments by offering individualised therapies using machine learning to analyse genome

UK Medical Research Council scientists identified clusters of learning difficulties not matching childrens' previous diagnosis with machine learning

Unanimous AI achieves 22% more accurate pneumonia diagnoses with the use of "swarm intelligence"

University of Toronto aims to early detect individuals at risk for clinical decline with the use of machine learning

Stanford University scientists identify 50% more solar installations than any previous survey with the use of deep learning

ExxonMobil plans to automate hydrocarbon discovery by developing deepwater exploration robots in partnership with MIT

Unilever plans to automate trademark research and detection for its brands using TrademarkNow's machine learning software

Columbia Business School researchers determine that unusual language in news stories can forecast future market stress through natural language processing

Formula 1 aims at achieving smarter project management and streamlining the R&D process with the use of machine learning

Gemological Institute of America predicts with 90% accuracy a diamond's grade from camera images using neural networks in partnership with IBM Research

Researchers investigate a cost-effective machine learning method for identifying gold from waste during ore sorting at an AngloGold Ashanti mine

Researchers at EPFL predict chemical shifts of molecular solids and their polymorphs to within DFT accuracy with machine learning

Researchers at the University of Glasgow have developed an AI-powered robot to discover new molecules from known chemical reactions

Monsanto plans to increase agriculture product research using Second Genome to predict outcomes of protein use

Monsanto plans to speed up crop protection product development using Atomwise's convolutional neural network technology for molecule interaction discovery

NASK researchers train convolutional neural networks to confirm horse identity based on eye images

Researchers at Columbia University automate the process of sex-sorting tsetse flies with machine learning

Scientists at Japan’s National Institute of Advanced Industrial Science and Technology are testing artificial cross-pollination of flowers with drones that mimics bees

University of Montana is testing an app with which beekeepers will be able to try to find out what is troubling a colony by listening to the buzz

Verily aims to reduce infected mosquitos population with computer vision

Coyote improves the accurate reporting of speed limits by 9% using machine learning

Aipoly app identifies objects and uses voice to describe them to visually impaired people