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Found 5 papers, 2 papers with code
The Convergence of AI and Synthetic Biology: The Looming Deluge
The convergence of artificial intelligence (AI) and synthetic biology is rapidly accelerating the pace of biological discovery and engineering.
NHANES-GCP: Leveraging the Google Cloud Platform and BigQuery ML for reproducible machine learning with data from the National Health and Nutrition Examination Survey
Summary: NHANES, the National Health and Nutrition Examination Survey, is a program of studies led by the Centers for Disease Control and Prevention (CDC) designed to assess the health and nutritional status of adults and children in the United States (U. S.).
The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward
The paper traces the evolution of red, blue, and purple teaming toward violet teaming, and then discusses applying violet techniques to address biosecurity risks of AI in biotechnology.
Elephants and Algorithms: A Review of the Current and Future Role of AI in Elephant Monitoring
Artificial intelligence (AI) and machine learning (ML) present revolutionary opportunities to enhance our understanding of animal behavior and conservation strategies.
Ten Quick Tips for Deep Learning in Biology
In particular, machine learning is concerned with the development and applications of algorithms that can recognize patterns in data and use them for predictive modeling.
