Five AI technologies that you need to know

Artificial Intelligence

Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks.

Most AI examples that you hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing.

Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data.

Generative AI

Generative AI (GenAI) consumes existing data, learns from it, then generates data with similar characteristics. For example, it can generate text, images, videos, audio and computer code.

Unlike traditional AI and machine learning that simply recognize patterns in data to make predictions, GenAI generates new data as its primary output.

Computer Vision

Computer vision is a field of artificial intelligence that trains computers to interpret and understand the visual world. Using digital images from cameras and videos and deep learning models, machines can accurately identify and classify objects — and then react to what they “see.”

From recognizing faces to processing the live action of a football game, computer vision rivals and surpasses human visual abilities in many areas.