Artificial intelligence is seemingly everywhere in eDiscovery, and for good reason. Over the past few years, AI technological advances ...
Edwards extends the functional contextual N-Frame model (Edwards, 2023, 2024) as an integrative theory linking predictive coding (Friston, 2018; Spratling, 2017), QBism-style observer dependence ...
This important study is of relevance to the fields of predictive processing, perception, and learning, with a well-designed paradigm allowing the authors to avoid several common confounds in ...
This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2013. Most models of sensory processing in the brain have a feedforward ...
Abstract: In this letter, we present a binary classification problem of improvised explosive devices, where true and false target features are taken from polarimetric ground-penetrating radar (GPR) ...
Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China ...
Artificial intelligence (AI) is transforming healthcare, offering the potential to optimize clinical decision-making, improve patient outcomes, and enhance care accessibility. AI-driven tools can ...
Orbitofrontal cortex (OFC) is classically linked to inhibitory control, emotion regulation, and reward processing. Recent perspectives propose that the OFC also generates predictions about perceptual ...
Current research focuses on integrating high-throughput genomic analysis, functional validation, and CRISPR-based editing to develop predictive and prescriptive breeding workflows that translate ...
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