Customer Stories

AI Applications with MATLAB and Simulink

Check out a variety of AI applications in automated driving, robotics, computer vision, and more

Predictive Maintenance

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All Nippon Airways

All Nippon Airways Uses MATLAB to Predict Aircraft Component Failures

All Nippon Airways
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Coca-Cola

Coca-Cola Develops Virtual Pressure Sensor with Machine Learning to Improve Beverage Dispenser Diagnostics

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Aerzen Digital Systems

Aerzen Digital Systems Builds Scalable AI Solutions with MATLAB Production Server

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Baker Hughes

Baker Hughes Develops Predictive Maintenance Software for Gas and Oil Extraction Equipment

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Korea Institute of Energy Research

Korea Institute of Energy Research Develops AI-Based Predictive Maintenance Models for Offshore Wind Power

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Schneider Electric

Designing Smarter Electrical Equipment Embedded with AI

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IMCORP

IMCORP Uses Deep Learning for Predictive Maintenance of Underground Power Cable Systems

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Tata Consultancy

Tata Consultancy Services Develops Distributed Cloud-Based Vehicle Predictive Maintenance Solution

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Mondi

Mondi Implements Health Monitoring and Predictive Maintenance for Plastics Manufacturing Processes

Medical Devices

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Satin Healthtech

Machine Learning Helps Bring Critical Cancer Screening to Rural India

Machine Learning
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Moffitt Cancer Center

Moffitt Cancer Center Uses Machine Learning to Accelerate Cancer Research

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UT Austin

UT Austin Researchers Convert Brain Signals to Words and Phrases Using Wavelets and Deep Learning

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Ritsumeikan University

Using Deep Learning to Reduce Radiation Exposure Risk in CT Imaging

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Genentech

Evaluating Alzheimer’s Disease Therapeutic Targets with Deep Learning and the MATLAB Based Spine Tool

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University of Dayton

Deep Learning for Medical Imaging: COVID-19 Detection

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Kinesis Health Technologies

Assessing the Risk of Falls in Older Adults with Inertial Sensors and Machine Learning

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Xfinito Biodesigns

Combining Artificial Intelligence and Footwear Improves Diabetes Treatment

Control Systems

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Poclain Hydraulics

Poclain Hydraulics Develops Soft Sensors to Measure Motor Temperature in Real Time Using Deep Learning and Kalman Filters

Poclain Hydraulics
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Airbus

Airbus Develops Autonomous Control Systems for the Mars Sample Fetch Rover Using Model-Based Design

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Korea Institute of Energy Research

Korea Institute of Energy Research Develops AI-Based Predictive Maintenance Models for Offshore Wind Power

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Cummins (15:53)

A Perspective on Deploying Reinforcement Learning to Augment Classic Control Design

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BMW

Detecting Oversteering with Machine Learning

Automotive Powertrain

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TWT GmbH

TWT GmbH Develops New Workflow for Tuning Automotive Suspension Designs Using Deep Learning and Multibody Simulation

TWT GmbH
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SUBARU

SUBARU Uses AI Surrogate Model to Reduce Transmission Control System Analysis Time

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Mazda

Mazda Speeds Next-Generation Engine Development of SKYACTIV TECHNOLOGY

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Vitesco

Vitesco Technologies Applies Deep Reinforcement Learning in Powertrain Control

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Ford

Ford Develops MATLAB Based Tool for Analyzing Drive-Cycle Test Results

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Mercedes-Benz

Mercedes-Benz Simulates Hardware Sensors with Deep Neural Networks

Automated Driving

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Bosch

Bosch Designs and Implements a Lidar Point Cloud Classifier with MATLAB and Deep Learning Toolbox

Bosch
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Monarch Tractor

Autonomous Electric Tractor Brings Artificial Intelligence to the Field

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Metawave

Developing Vehicle Perception Technologies for Autonomous, Self-Driving Cars

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DENSO TEN

DENSO TEN Uses MATLAB to Develop Mobile Cyber-Physical System

Manufacturing Analytics

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CAEML (26:09)

CAEML Research in Hardware Design and Optimization Using Machine Learning

CAEML
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Sterlite

Sterlite Minimizes Optical Fiber Manufacturing Cost Using Machine Learning

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GSK

GSK Uses Historical Data to Improve Manufacturing Processes and Make Better Products

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Stanford University

Sifting Through Multisource Data for Safer Battery Materials with Machine Learning

Power System Analysis and Design

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GE, Stadtwerke Leipzig (53:59)

AI and IoT for Power Systems Applications

GE, Stadtwerke Leipzig
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RWE Renewables, Hydro Quebec, IMCORP (1:19:47)

Utility Asset Condition Monitoring and Predictive Maintenance Using Machine Learning and Artificial Intelligence

Radar

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Bharat Electronics

Bharat Electronics Applies AI to Elevation Estimations from 3D Radar

Bharat Electronics
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C-CORE

Analyzing Satellite Radar Imagery with Deep Learning

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PathPartner

PathPartner Develops Machine Learning Algorithms for Radar-Based Automotive Applications

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Miros

Using Deep Learning to Automate Radar Data Quality Control at Sea

Robotics

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KLE Technological University

KLE Technological University Launches Automation and Robotics Program Using MATLAB and Simulink

KLE Technological University
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USC (24:53)

On the New Generation of Bio-Inspired Robots

Computer Vision

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Spacesium

Spacesium Creates Deep Learning System to Segment Large Lidar Point Clouds with MATLAB

Spacesium
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Airbus

Airbus Uses Artificial Intelligence and Deep Learning for Automatic Defect Detection

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ATLA

Acquisition, Technology & Logistics Agency Applies GAN to Far-Infrared Images and Generates Color Images

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Shell International E&P, Inc. (25:18)

Content-Based Image Retrieval (CBIR) Using Deep Neural Networks

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Norwegian Defense Research Establishment

Classification of Anti-Submarine Warfare Sonar Targets Using a Deep Neural Network

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SINTEF

Developing an Underwater 3D Camera with Range-Gated Imaging

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Yachiyo Engineering, Co., Ltd. (14:46)

Snow Hazard Index Using Conditional GAN and Semantic Segmentation

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Drass

Drass Develops Deep Learning System for Real-Time Object Detection in Maritime Environments

Computational Finance

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Aberdeen Asset Management

Aberdeen Asset Management Implements Machine Learning–Based Portfolio Allocation Models in the Cloud

Aberdeen
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HSBC (37:41)

CCAR Neural Networks Model

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Administrador del Mercado Mayorista

Administrador del Mercado Mayorista Develops AI-Based Models for Predicting Electricity Demand:

Computational Biology

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MIT

Physics-Informed Machine Learning: Cloud-Based Deep Learning and Acoustic Patterning for Organ Cell Growth Research

MIT
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Stanford University (23:59)

Physics-Informed Machine Learning: Using the Laws of Nature to Improve Generalized Deep Learning Models

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RIKEN

RIKEN Develops a Method to Apply CNN to Non-Image Data