24 Mar AI, Data Science, and the Transformation of Scientific Research: A Primer
Illustrations by Jordyn Vowels
Artificial intelligence (AI) and data science are two closely related yet distinct fields that are driving research and innovation in the agricultural and life sciences, among many other fields. The pace of technological advancement in these areas, and the sheer amount of jargon that goes with it, can be overwhelming. To help get you up to speed, here are 10 things to know about AI and data science in general and, more specifically, their influence on the agricultural and life sciences — at CALS and beyond.
- AI focuses on creating systems and software capable of performing tasks that typically require human intelligence.
- Data science involves extracting meaningful insights and knowledge from data through statistical analysis, machine learning, and data visualization.
- While AI focuses on automating tasks and making intelligent decisions, data science emphasizes understanding data and extracting actionable insights.
- AI can be categorized into different types based on capabilities.
- Generative AI is one of the most familiar forms of artificial intelligence.
- Another important type of AI, convolutional neural networks (CNNs), are deep learning algorithms specifically designed for processing and analyzing visual data.
- AI’s transformative impact extends to agriculture, where it enables more efficient, productive, and sustainable farming practices.
- CALS researchers are pursuing cutting- edge work at the nexus of AI and agriculture.
- In the life sciences, AI is driving breakthroughs in research and health care by analyzing complex biological data to accelerate discoveries.
- CALS scientists are leading the way with numerous projects that could transform research and health care through AI.
Learn more at UW College of Agricultural and Life Sciences – Grow Magazine