AI at WPI

An algorithm is a set of step-by-step instructions or rules given to a computer to perform a specific task. Think of it as a recipe that guides the computer in solving a problem. 

AI refers to machines or computer systems that can perform tasks that typically require human intelligence and/or mimic the behavior of humans. Tasks include learning, reasoning, problem-solving, perception, language understanding, and interacting with humans. 

Extremely large sets of data that can be analyzedfor patterns and insights. Machine learning relies on large data sets to train models to solve tasks.   

A field that combines analytics, statistics, data management, machine learning, AI, data management, mathematics, computer programming, and visualizations to identify insights in information in order to tackle impactful problems and communicate insights to stakeholders. 

A type of machine learning inspired by the human brain. Deep learning uses neural networks with multiple layers, also known as deep neural networks, to analyze and learn from data in order to make predictions. It isoften used for complex tasks, such as image recognition and speech recognition. 

A type of artificial intelligence that is trained to find patterns in data to create new material, such as images, text, or even music,without explicit instructions. Generative AI uses complex algorithms to produce material that can range from innovative and surprising to inaccurate and misleading. ChatGPT is an example of Generative AI. 

A type of generative AIthat can generate text. Large language models are trained on very large data sets of text, such as Wikipedia, to understand, translate, and/or produce written text in a way that mimics humans.  

Machine learning is a subset of AI algorithms that teaches a computer to recognize patterns and make decisions on its own. Machine learning enables computers to learn and improve from experience or access to data and its labels without being explicitly programmed. 

A computer system inspired by the human brain's structure. Neural networks are used in machine learning to recognize patterns and make decisions. Imagine it as a network of connected nodes that work together to solve problems.  

A field of AI that focuses on enabling machines to understand, interpret, and generate human language. It makes voice assistants and language translation possible. 

Robotics involves the design, construction, and operation of hardware that in some cases may mimic the operations and tasks usually performed by humans. Robots are machines that can carry out tasks autonomously or semi-autonomously, often with the help of AI.