Perceptron

A basic neural network model inspired by a biological neuron.

Transformer

A neural network architecture that handles sequences of data using a mechanism called 'attention'.

ViT (Vision Transformer)

A version of the Transformer model applied to images by dividing them into patches.

LLaVA

A multimodal model that combines vision and language capabilities to understand images and text together.

Deep Learning

A subfield of machine learning that uses many-layered neural networks to learn patterns in data.

Generative Models

Models that can create new content, such as text, images, or sounds, based on what they’ve learned.

Large Language Models (LLMs)

AI models trained on massive amounts of text to understand and generate human language.

Attention Mechanism

A technique that allows models to focus on the most relevant parts of input data.

Super-resolution

A method used to enhance the quality of low-resolution images.

Visual Inspection with AI

Using machine learning to detect visual anomalies in images or videos.

Multimodal Models

Models that process and relate multiple types of data—such as text, images, or sound—together.

Thermography

A method that captures temperature differences using infrared cameras.

Predictive Maintenance

Using data and AI to anticipate failures before they happen.

AI-driven Asset Management

Using AI to monitor, analyze, and optimize infrastructure or equipment.