// ROBOTICS AND SMART FACTORIES TERM
Deep Learning
A subset of machine learning that uses artificial neural networks with multiple layers to learn complex patterns from large amounts of data. It excels at tasks like image and speech recognition.
TECHNICAL DEFINITION
Deep learning (DL) is a class of machine learning algorithms that utilizes artificial neural networks with multiple hidden layers (deep neural networks) to automatically learn hierarchical representations from vast datasets, excelling in tasks like image recognition, natural language processing, and predictive modeling for complex industrial problems.
BACKGROUND
Federated learning is a machine learning technique in a setting where multiple entities collaboratively train a model while keeping their data decentralized, rather than centrally stored. A defining characteristic of federated learning is data heterogeneity. Because client data is decentralized, data samples held by each client may not be independently and identically distributed.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- DL
- Neural networks
- Deep neural networks
USAGE NOTE
Deep learning is applied in manufacturing for advanced defect detection, predictive maintenance, and complex process optimization, often surpassing traditional methods.
DEVELOPERS
Organizations developing technology related to Deep Learning.
A global technology powerhouse focusing on industrial automation and digitalization, leveraging deep learning for applications like digital twins, predictive maintenance, quality control, and intelligent manufacturing processes in Industry 5.0.
A leading manufacturer of industrial robots and CNC systems, integrating deep learning into its products for advanced robotic vision, adaptive control, anomaly detection, and predictive maintenance for its robotic systems.
While primarily a GPU manufacturer, NVIDIA provides crucial hardware and software platforms (e.g., NVIDIA Isaac for robotics, Metropolis for vision AI) that enable other companies to develop and deploy deep learning solutions in manufacturing and industrial automation.
Specializes in applying deep learning to visual inspection in manufacturing, helping companies improve product quality and reduce defects through AI-powered anomaly detection and automated inspection systems.
A global leader in robotics, power, heavy electrical equipment, and automation technology, utilizing deep learning for advanced robotic control, quality inspection, and intelligent automation solutions across various industrial sectors.
An international engineering and electronics company with significant operations in industrial technology and smart manufacturing, applying deep learning for predictive maintenance, process optimization, and AI-driven quality assurance in its own factories and for customer solutions.
A global provider of industrial automation and information solutions, incorporating deep learning and AI into its control systems, software, and services for enhanced operational intelligence, predictive analytics, and smart manufacturing applications.
Focuses on software-defined manufacturing, leveraging AI, computer vision, and deep learning to automate and optimize assembly lines, bringing intelligence and flexibility to factory operations.