High-performance computing (HPC) is the art and science of using groups of cutting-edge computer systems to perform complex simulations, computations, and data...
Machine learning (ML) employs algorithms and statistical models that enable computer systems to find patterns in massive amounts of data, and then uses a model...
Power efficiency refers to a compute resource’s ability to convert electrical power into useful work with minimal waste or loss. It’s typically measured in...
Generative AI enables users to quickly generate new content based on a variety of inputs. Inputs and outputs to these models can include text, images, sounds,...
A recommendation system (or recommender system) is a class of machine learning that uses data to help predict, narrow down, and find what people are looking for...
Classification and regression are two groups of supervised machine-learning algorithm problems. Supervised machine learning uses algorithms to train a model to...
In its most fundamental form, AI is the capability of a computer program or a machine to think, learn, and take action without being explicitly encoded with...
A vector database is an organized collection of vector embeddings that can be created, read, updated, and deleted at any point in time. Vector embeddings...
Explainer: What Is a Convolutional Neural Network?
A convolutional neural network is a type of deep learning network used primarily to identify and classify images and to recognize objects within images.
Sentiment analysis is the automated interpretation and classification of emotions (usually positive, negative, or neutral) from textual data such as written...
A random forest is a supervised algorithm that uses an ensemble learning method consisting of a multitude of decision trees, the output of which is the...
Graph analytics, or graph algorithms, are analytic tools used to determine the strength and direction of relationships between objects in a graph. The focus of...
