A look into structured and unstructured data, their key differences, definitions, use cases and more.| www.ibm.com
Neural networks allow programs to recognize patterns and solve common problems in artificial intelligence, machine learning and deep learning.| www.ibm.com
This privacy statement describes how IBM collects, uses, and shares personal information about consumers and other individuals within our clients, business partners, supplier and other organizations with which IBM has or contemplates a business relationship.| www.ibm.com
Artificial intelligence (AI) is technology that enables computers and machines to simulate human learning, comprehension, problem solving, decision-making, creativity and autonomy.| www.ibm.com
Deep learning is a subset of machine learning that uses multilayered neural networks, to simulate the complex decision-making power of the human brain.| www.ibm.com
A chatbot is a computer program that simulates conversation with human end users. It often uses NLP to parse inputs and generative AI to automate responses.| www.ibm.com
Machine learning (ML) is a branch of AI and computer science that focuses on the using data and algorithms to enable AI to imitate the way that humans learn.| www.ibm.com
Generative AI refers to deep-learning models that can generate high-quality text, images, and other content based on the data they were trained on.| IBM Research