To help newcomers navigate the world of AI, we have compiled a list of five key terms you need to know. These terms will provide a solid foundation for understanding how AI will change workflows and processes for business in general. Get ready AEC industry!

1. Artificial Intelligence

Artificial Intelligence (AI) is the simulation of human intelligence in machines. It enables computers to perform tasks that usually require human intelligence, such as identifying patterns in data, making predictions, and engaging in natural language conversations.

2. Machine Learning

Machine Learning is a part of AI that teaches machines to learn and improve from experience without being explicitly programmed. It involves creating algorithms and models for computers to analyze data, find patterns, and make predictions or decisions. An example of machine learning is spam email filtering. By analyzing a dataset of emails, a machine learning model can learn to differentiate between spam and legitimate emails, improving its accuracy over time.

3. Large Language Model

A Large Language Model is a type of AI model that uses deep learning techniques to understand and generate human language. These models are trained on vast amounts of text data and can generate coherent and contextually relevant responses. An everyday example of a large language model is a virtual assistant like Siri or Alexa. These assistants use natural language processing to understand and respond to user queries, making them valuable tools for daily tasks and information retrieval.

4. Natural Language Processing

Natural Language Processing (NLP) is a branch of AI that focuses on enabling computers to understand and process human language in a natural and meaningful way. NLP techniques are used in various applications, such as chatbots, voice assistants, and language translation. An everyday example of NLP is voice-to-text conversion. By processing spoken words and converting them into written text, NLP algorithms make it possible to dictate messages or transcribe audio recordings accurately.

5. Neural Network

A Neural Network is a computational model inspired by the structure and function of the human brain. It consists of interconnected nodes, or “neurons,” that work together to process and analyze data. Neural networks are particularly effective in tasks such as image recognition, speech recognition, and natural language processing. For instance, a neural network can be trained to recognize objects in images, enabling applications like automated image tagging or self-driving cars.

Conclusion

As AI continues to shape the AEC industry, embrace the opportunities AI brings and stay curious as this exciting field continues to evolve and transform workflows and processes in the AEC industry.