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Published Date: 11/07/2024
From agriculture to education, AI is driving innovation and improving outcomes across various sectors.
From agriculture to education, AI is driving innovation and improving outcomes across various sectors.
Artificial intelligence (AI) has become an integral part of our lives, from simple tasks like spell-checking to complex applications like self-driving cars. At NC State University, interdisciplinary teams are harnessing the power of AI to revolutionize research and innovation across various industries.
In agriculture, AI is being used to improve crop yields and quality. The Sweet-APPS Project, funded by the Game-Changing Research Incentive Program, uses imaging technology and machine learning algorithms to analyze sweetpotatoes and determine the factors that impact their size and shape. This project aims to improve crop yields that meet USDA Grade 1 standards and increase profitability for North Carolina's sweetpotato growers.
Another research team in the N.C. Plant Sciences Initiative is developing two new AI-powered tools, BenchBot 3.0 and the NVIDIA Grace Hopper 200, to help producers and growers improve crop yields, efficiency, and sustainability. BenchBot is a robot that takes high-resolution photos of crops, which are then processed by the Grace Hopper supercomputer to train large-scale AI models for agricultural applications.
FAQS:
FAQS:
Q: How is AI being used in agriculture?
A: AI is being used in agriculture to improve crop yields and quality. For example, the Sweet-APPS Project uses imaging technology and machine learning algorithms to analyze sweetpotatoes and determine the factors that impact their size and shape.
Q: What is the Patch-to-Cluster attention (PaCa) methodology?
A: PaCa is a new methodology developed by researchers at NC State to improve the efficiency of vision transformers in identifying and categorizing objects in images.
Q: How is AI being used in education?
A: AI is being used in education to advance human learning and improve educational outcomes. For example, the NSF AI Institute for Engaged Learning is creating AI tools to support personalized learning and improve student engagement.
Q: What is the potential of AI in transforming industries?
A: The potential of AI in transforming industries is vast and varied. AI can improve outcomes, increase efficiency, and drive innovation across various sectors, from agriculture to education.
Q: How does AI optimize catalysis research?
A: AI optimizes catalysis research by conducting automated experiments, analyzing the output, and using the results to inform which experiment to run next. This process enables fast and efficient analysis of catalytic reactions.
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