AI Applications with MATLAB and Simulink
Check out a variety of AI applications in automated driving, robotics, computer vision, and more
Check out a variety of AI applications in automated driving, robotics, computer vision, and more
Coca-Cola Develops Virtual Pressure Sensor with Machine Learning to Improve Beverage Dispenser Diagnostics
Aerzen Digital Systems Builds Scalable AI Solutions with MATLAB Production Server
Baker Hughes Develops Predictive Maintenance Software for Gas and Oil Extraction Equipment
Korea Institute of Energy Research Develops AI-Based Predictive Maintenance Models for Offshore Wind Power
Designing Smarter Electrical Equipment Embedded with AI
IMCORP Uses Deep Learning for Predictive Maintenance of Underground Power Cable Systems
Tata Consultancy Services Develops Distributed Cloud-Based Vehicle Predictive Maintenance Solution
Mondi Implements Health Monitoring and Predictive Maintenance for Plastics Manufacturing Processes
Moffitt Cancer Center Uses Machine Learning to Accelerate Cancer Research
UT Austin Researchers Convert Brain Signals to Words and Phrases Using Wavelets and Deep Learning
Using Deep Learning to Reduce Radiation Exposure Risk in CT Imaging
Evaluating Alzheimer’s Disease Therapeutic Targets with Deep Learning and the MATLAB Based Spine Tool
Deep Learning for Medical Imaging: COVID-19 Detection
Assessing the Risk of Falls in Older Adults with Inertial Sensors and Machine Learning
Combining Artificial Intelligence and Footwear Improves Diabetes Treatment
Poclain Hydraulics Develops Soft Sensors to Measure Motor Temperature in Real Time Using Deep Learning and Kalman Filters
Airbus Develops Autonomous Control Systems for the Mars Sample Fetch Rover Using Model-Based Design
Korea Institute of Energy Research Develops AI-Based Predictive Maintenance Models for Offshore Wind Power
A Perspective on Deploying Reinforcement Learning to Augment Classic Control Design
Detecting Oversteering with Machine Learning
TWT GmbH Develops New Workflow for Tuning Automotive Suspension Designs Using Deep Learning and Multibody Simulation
SUBARU Uses AI Surrogate Model to Reduce Transmission Control System Analysis Time
Vitesco Technologies Applies Deep Reinforcement Learning in Powertrain Control
Ford Develops MATLAB Based Tool for Analyzing Drive-Cycle Test Results
Mercedes-Benz Simulates Hardware Sensors with Deep Neural Networks
Bosch Designs and Implements a Lidar Point Cloud Classifier with MATLAB and Deep Learning Toolbox
Autonomous Electric Tractor Brings Artificial Intelligence to the Field
Developing Vehicle Perception Technologies for Autonomous, Self-Driving Cars
Sterlite Minimizes Optical Fiber Manufacturing Cost Using Machine Learning
GSK Uses Historical Data to Improve Manufacturing Processes and Make Better Products
Sifting Through Multisource Data for Safer Battery Materials with Machine Learning
Utility Asset Condition Monitoring and Predictive Maintenance Using Machine Learning and Artificial Intelligence
PathPartner Develops Machine Learning Algorithms for Radar-Based Automotive Applications
KLE Technological University Launches Automation and Robotics Program Using MATLAB and Simulink
Airbus Uses Artificial Intelligence and Deep Learning for Automatic Defect Detection
Acquisition, Technology & Logistics Agency Applies GAN to Far-Infrared Images and Generates Color Images
Building Better Engines with AI
Content-Based Image Retrieval (CBIR) Using Deep Neural Networks
Classification of Anti-Submarine Warfare Sonar Targets Using a Deep Neural Network
Developing an Underwater 3D Camera with Range-Gated Imaging
Snow Hazard Index Using Conditional GAN and Semantic Segmentation
Drass Develops Deep Learning System for Real-Time Object Detection in Maritime Environments
Aberdeen Asset Management Implements Machine Learning–Based Portfolio Allocation Models in the Cloud
Administrador del Mercado Mayorista Develops AI-Based Models for Predicting Electricity Demand:
Physics-Informed Machine Learning: Cloud-Based Deep Learning and Acoustic Patterning for Organ Cell Growth Research
Physics-Informed Machine Learning: Using the Laws of Nature to Improve Generalized Deep Learning Models
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