47 citations · 123 across the 11 of their papers we have counts for
6 papers · 1 filter
Adaptable Embeddings Network (AEN)
Stan Loosmore, Alexander Titus
Modern day Language Models see extensive use in text classification, yet this comes at significant computational cost. Compute-effective classification models are needed for low-re…
Inclusivity in Large Language Models: Personality Traits and Gender Bias in Scientific Abstracts
Naseela Pervez, Alexander J. Titus
Large language models (LLMs) are increasingly utilized to assist in scientific and academic writing, helping authors enhance the coherence of their articles. Previous studies have…
Computing in the Life Sciences: From Early Algorithms to Modern AI
Samuel A. Donkor, Matthew E. Walsh, Alexander J. Titus
Computing in the life sciences has undergone a transformative evolution, from early computational models in the 1950s to the applications of artificial intelligence (AI) and machin…
The Convergence of AI and Synthetic Biology: The Looming Deluge
Cindy Vindman, Benjamin Trump, Christopher Cummings +6
The convergence of artificial intelligence (AI) and synthetic biology is rapidly accelerating the pace of biological discovery and engineering. AI techniques, such as large languag…
Integrating MLSecOps in the Biotechnology Industry 5.0
Naseela Pervez, Alexander J. Titus
Biotechnology Industry 5.0 is advancing with the integration of cutting-edge technologies like Machine Learning (ML), the Internet Of Things (IoT), and cloud computing. It is no su…
NHANES-GCP: Leveraging the Google Cloud Platform and BigQuery ML for reproducible machine learning with data from the National Health and Nutrition Examination Survey
B. Ross Katz, Abdul Khan, James York-Winegar +1
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 he…