3D datasets help train and evaluate computers ability to understand, interpret and manipulate 3D models.
These audio datasets help train and evaluate computers ability to understand, interpret and manipulate audio. Using digital audio from microphones and deep learning models, machines can accurately identify and classify sounds — and then react to what they “hear.”
Generative AI is one of the biggest recent advancements in artificial intelligence technology because of its ability to create something new. It opens the door to an entire world of possibilities for human-computer creativity, cooperation and collaboration.
Structured data is a type of data that is identifiable through relational databases. It is highly organized and easily searchable in relational databases and spreadsheets. Structured data is organized into rows and columns that are easy to understand and manipulate. It is typically stored in a fixed format, such as a database table. Examples of structured data include numbers, dates, and groups of words and numbers called strings.
Natural language processing (NLP) is a branch of artificial intelligence that helps computers understand, interpret and manipulate human language. NLP draws from many disciplines, including computer science and computational linguistics, in its pursuit to fill the gap between human communication and computer understanding.
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.”