The words 'Artificial Intelligence' often feel like science fiction, set in a far-flung future where robots can simulate human actions and thought, often to the detriment of their creators. in today's parlance, AI has less weighty connotations (hopefully), but remains an important and enduring term. What we think of as AI works by simulating human intelligence through the use of algorithms, data, and computational power. The goal is to enable machines or software to performs tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and language understanding. In medicine and research, we can harness this mimicry to perform tasks quicker and remove those time barriers that keep us from accomplishing all that is required in this fast-paced academic field.
AI can be divided up into four subsets, at least at this point in its fast development. Each subfield of AI focuses on replicating specific human actions or solving particular problems. Some of these may overlap and interdisciplinary approaches are common.
Machine Learning (ML)
Machine Learning is a subset of AI that involves the development of algorithms that allow computers to learn from and make decisions based on data. This field focuses on creating systems that can automatically improve and adapt without being explicitly programmed for specific tasks. In medicine, ML can be used for predictive analytics, personalized treatment plans, and diagnostic tools.
Neural Networks
Neural Networks are a set of algorithms, modeled loosely after the human brain, that are designed to recognize patterns. They interpret sensory data through a kind of machine perception, labeling, or clustering of raw input. They are the backbone of deep learning systems and are particularly effective in areas such as image and speech recognition.
Natural Language Processing (NLP)
NLP is a field of AI that focuses on developing systems that can analyze, understand, and generate human language in both written and spoken forms. It combines techniques from computer science, linguistics, and machine learning to process and extract meaning from natural language data. The goal of NLP is to enable computers to communicate with humans in their native languages and understand the intent and context behind the words.
Game Playing
Game Playing AI focuses on creating algorithms that can play games, often at a level that surpasses human capability. This subset has seen significant advancements, particularly with systems like DeepMind's AlphaGo. These developments have broader implications beyond gaming, contributing to fields such as decision-making processes and strategic planning.
At the OUWB Medical Library, we are taking on the task of helping both students and faculty navigate the tricky, evolving environment of AI. Things listed below are just a few ways that we can help you find your way.
This LibGuide was link checked 2/20/2024.
This LibGuide was link-checked 9/20/2023.
