Purdue faculty dedicate countless hours to exploring the frontiers of their respective fields, pushing the boundaries of knowledge and contributing to the ever-evolving landscape of academia. To ...
Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...
By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...
Cosmic rays are high-energy particles that constantly bombard Earth from space and are influenced by the sun's magnetic ...
Southwest Research Institute (SwRI) has developed a method to automate the calibration of heavy-duty diesel truck emissions ...
Their study presents a new combination of computational tools that merges the Chinese Pangolin Optimizer (CPO) with the ...
The chapters of “Machine Learning Methods for Engineering Application Development“ book are organized into five parts Machine Learning Essentials, Applied Machine Learning, Surveillance Systems, ...
20+ Machine Learning Methods in Groundbreaking Periodic Table From MIT, Google, Microsoft Your email has been sent A new “periodic table for machine learning” is reshaping how researchers explore AI, ...
Long Yuan, PhD, director of the Department of Drug Metabolism and Pharmacokinetics at Biogen, explains how artificial intelligence, machine learning, and large language models are used in performing ...
Biddable Assets has also added Mark Damien, formerly of Eureka Informatics, as Partner and Chief Data Scientist. A leading voice in advertising data science for two decades, Damien has architected ...
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