Feature selection is a critical pre-processing step in machine learning that seeks to identify a subset of input variables most relevant to predictive modelling. By reducing dimensionality, it ...
A new publication from Opto-Electronic Advances; DOI 10.29026/oea.2025.240260 discusses a novel strategy for detecting trace-level nanoplastics in aquatic environments. Plastic materials have ...
Benchmarking clinical reasoning and accuracy of large language models on breast oncology multiple-choice questions.
Designed Radiopharmaceuticals: How Machine Learning Is Redefining Precision Cancer Therapy" reports on the integration of deep learning and generative AI in radiopharmaceutical medicine, its impact on ...
High-content screening (HCS) image analysis with AI has become the only realistic way to process the millions of cell images a single screening campaign now produces. Manual review of that volume of ...
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of two-dimensional memories, systems that can reliably store information despite ...
Silhouette 2024.5 introduces machine learning tools aimed at speeding up the roto and paint workflows for VFX professionals, ...
What is the SAMI platform? How the system was trained and utilized. SAMI's potential applications. Eschbach recently unveiled a new AI-powered chat feature for its SAMI (Shiftconnector Artificial ...
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