Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...
Kumo Launches KumoRFM-2, A Foundation Model Built to Replace Traditional Enterprise Machine Learning
Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...
A study found a machine learning model more accurately predicted major adverse cardiac events, such as heart attacks, than ...
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How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?
Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.
Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.
Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...
NEW YORK, April 8, 2026 /PRNewswire/ -- ACM, the Association for Computing Machinery, today named Matei Zaharia as the recipient of the ACM Prize in Computing for his visionary development of ...
What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...
Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to optimize a protein function ...
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