Artificially intelligent computers perform tasks that are generally done by humans and that often demand sensory capabilities such as depth perception, adaptability and decision-making. Sensors collect massive amounts of data and process it at ever-increasing speeds, applying scripted codes to predict and execute an appropriate response. Machine learning, a recent extension of AI, analyzes patterns in AI responses to facilitate continuous improvement.
For research purposes, the most useful and applicable benefit of AI and machine learning is predictive capability. Research aims to generate new information or conclusions through methodical investigation, and AI can provide substantial support to research through the speed of analytics, the identification of patterns and the removal of human error.