Big River Steel makes more accurate demand predictions using machine learning

Big River Steel reduces cost of outbound transportation and optimises delivery windows using machine learning

Roy Hill iron ore project optimises mine operations planning based on predicting supply chain outcomes

BHP saves $5.5M by predicting mining truck maintenance requirements with machine learning

Big River Steel optimises production and minimises unplanned events in the production process process with machine learning

Freeport-McMoRan improves rock face assessment for better planning of steep blasting mining using drones

Goldcorp plans to increase accuracy of identifying potential mining prospecting areas using IBM Watson and machine learning to analyse drilling and geological data

Jerrit Canyon Gold identifies high prospectability areas using Goldspot Discoveries' machine learning geological model

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

Big River Steel maximises energy consumption at off-peak times to minimise energy costs using an AI powered optimisation model

Big River Steel predicts and optimises the maintenance of its machinery and equipment using machine learning.

Newcrest Mining prevents mill downtime at its Lihir mine using machine learning to predict when an overload is about to occur

Roy Hill iron ore project is developing a transportation vehicle maintenance prediction and prevention recommendation platform

South32 trials first fully autonomous drone system from Airobotics for mine surveillance

Rio Tinto machinery operators wear SmartCaps to detect dangerous levels of fatique by applying neural networks to brain signals

Big River Steel is predicting the availability of scrap steel using a predictive AI engine

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

Kebotix aims to speed up materials discovery with machine learning

Connecterra increases dairy production by as much as 30% by tracking and analysing the health of cows with machine learning

Deveron is a vendor offering technology for crops counting and yield measuring leveraging drones and machine learning

Open Agriculture Initiative identifies optimal growing conditions and correlations for optimising basil flavour using machine learning

PlantVillage detects multiple diseases in Cassava plants with machine learning

Small Robot Company is a vendor which hopes to deploy robots to reduce chemicals and emissions while increasing farm profitability

United Phosphorous (UPL) and Microsoft machine learning predictions were used to alert farmers to the likelihood of pest infestation resulting in the doubling of farm income

Beck's Hybrids is predicting the highest-yielding corn seeds from more than 30,000 genetic possibilities using an AI powered modeling engine

IBM Brazil researchers develop device to measure chemicals in samples of water and soil using machine learning and vision

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