Data Augmentation
Data augmentation is generating new data samples by modifying existing data. It helps improve machine learning (ML) model performance by increasing data variety without collecting more real-world data. The process
Data Transfer Costs
Data transfer costs in cloud computing refer to the fees associated with moving data within and between cloud services, across different regions, or from the cloud to on-premises environments. These
Deep Learning
Deep learning is a subset of machine learning that uses algorithms modeled after the human brain’s neural networks. It enables computers to analyze and learn from large amounts of data,
Diffusion Models
Diffusion models are generative machine learning models that create data, such as images, text, or audio, by reversing a noise process. They learn to generate high-quality outputs by gradually denoising
Digital Twin AI
What is Digital Twin AI? Digital Twin AI is a technology that creates a virtual model of a physical object, system, or process. It continuously updates using real-time sensor data,
Dynamic Provisioning
Dynamic provisioning in cloud computing and data centers refers to the automated process of allocating and managing storage resources on demand. This technology eliminates the need for administrators to manually
Edge AI
What is Edge AI? Edge AI is artificial intelligence that processes data directly on local devices rather than on centralized cloud servers. This approach allows AI to function in real
Egress Charges
Egress charges refer to the fees incurred when data is transferred from a cloud provider’s network to another location, such as another cloud service, an on-premises data center, or the
Elasticity
Elasticity in cloud computing refers to the ability of a cloud environment to dynamically allocate and de-allocate resources as needed to handle fluctuating workloads efficiently. This capability allows systems to
Embeddings
Embeddings are a technique used in machine learning and natural language processing (NLP) to represent data—especially words, sentences, or items—as numerical vectors. These vectors capture the relationships, context, and similarities
Explainable AI (XAI)
What Is Explainable AI (XAI)? Explainable AI (XAI) refers to artificial intelligence systems that make their decision-making processes transparent. Unlike traditional AI models that work like black boxes, XAI provides
Few-Shot Learning
Few-shot learning is a type of machine learning where a model learns to make accurate predictions using only a small number of labeled examples. Unlike traditional machine learning, which requires
Fine-Tuning
Fine-tuning is a machine learning process in which a pre-trained model is further trained on a smaller, task-specific dataset to adapt for a particular use case. It builds upon the
Generative Adversarial Networks (GANs)
A generative adversarial network (GAN) is a deep learning model comprising two competing neural networks: a generator and a discriminator. GANs were first introduced by Ian Goodfellow in 2014 and
Generative AI (GenAI)
Generative AI (also known as GenAI) is an artificial intelligence capable of creating new content such as images, videos, music, text, and other media based on the learned data. Unlike
Glossary: Image Recognition
Image recognition technology allows computers to analyze and interpret visual data. It uses artificial intelligence (AI) and machine learning (ML) to identify objects, patterns, and features in images or videos.
Glossary: Image Segmentation
What is Image Segmentation? Image segmentation is a fundamental process in computer vision that involves dividing an image into distinct regions. Each region corresponds to a meaningful part of the
Glossary: Object Detection
What Is Object Detection? Object detection is an advanced computer vision technique that identifies, classifies, and localizes objects within an image or video frame. Unlike simple image recognition, which assigns
Glossary: Sentiment Analysis
What Is Sentiment Analysis? Sentiment analysis is a field of natural language processing (NLP) that focuses on determining the emotional tone behind a text. It evaluates whether the expressed sentiment
Hallucination in AI
Hallucination in AI happens when a system, especially a large language model (LLM), generates information that is entirely false, misleading, or nonsensical. These outputs may look correct but are not
