University of Essex researchers compare machine learning models for improving weather condition classification of images

Adobe Research team investigates current approaches in machine learning for automating data cleansing and finds them inadequatee

DeepMind achieves human specialist accuracy in diagnosing retina disease based on scans using machine learning

DeepMind achieves superhuman performance with its Go-playing AI program using reinforcement learning and neural nets

Fast.AI more accurately classifies text while requiring less training data due to a new natural language processing technique

Microsoft Research predicts underperforming biotech companies with 62% accuracy in tests natural language processing

Baidu researchers synthesise speech through neural voice cloning with limited data samples

Facebook provides technology able to turn 2D images into 3D models

Google DeepMind plans to build complete 3D models from a few pictures using generative query network

Google Research detects diabetic eye disease as well as leading ophthalmologists with machine learning

Google's cocktail party effect uniquely identifies and focuses on an individual's voice while watching a video of people talking in a crowded room

Stanford University researchers improve weather forecasting by over 40% on historic data with machine learning

Simprints predicts what a baby's fingerprints will look like when they reach adulthood through machine learning

Clinicial researchers at Imperial College London and the University of Edinburgh develop machine learning based software that could speed up treatment of patients showing signs of stroke or dementia

Cornell University researchers increase processing efficiency 300x by developing Adaboost algorithm to automate detection of elephant rumblings

Cray's CosmoFlow can now predict cosmological parameters with unprecedented accuracy with a deep learning 3D convolutional neural network

MIT researchers aim to make cancer treatments less toxic with machine learning

MIT researchers develop system that can identify individuals with 96% accuracy for smart homes improvement

McGill University predicts signs of dementia two years before its onset with 84% accuracy with supervised learning

NYU researchers detected lymphedema with 93.8% accuracy using neural networks

National University of Singapore researchers use deep learning to outperform current methods in detecting glaucoma progression in patients

Oregon Health and Science University trained deep learning models on used machine learning to diagnose the leading childhood blindness disease with 91% accuracy bettering the 82% of opthalmologists

Particle physicists carry out complex analyses on the 1 million gigabytes of data produced per second during experiments using machine learning.

Researchers aim to identify fibromyalgia patients from fMRI images using machine learning

Researchers at Harvard University and the University of Tübingen track animals’ movements in the lab using deep learning

Researchers at IBM Research Australia, the University of Toronto, and University of Melbourne build model to generate sonnets using deep learning

Researchers at Los Alamos National Laboratory identified a sound pattern that indicates slippage and fault failure using machine learning

Researchers at Tomsk Polytechnic University Russia to launch a fleet of robot-bee prototypes suitable for greenhouses

Researchers at UC Berkeley find 72 previously undetected bursts in data gathered on FRB 121102 using machine learning

Researchers at the University of Glasgow develop platform to locate new molecules using machine learning