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Found 3 papers, 1 papers with code
Large Language Model for Mental Health: A Systematic Review
Large language models (LLMs) have received much attention and shown their potential in digital health, while their application in mental health is subject to ongoing debate.
Going faster to see further: GPU-accelerated value iteration and simulation for perishable inventory control using JAX
Value iteration can find the optimal replenishment policy for a perishable inventory problem, but is computationally demanding due to the large state spaces that are required to represent the age profile of stock.
A deep learning framework for the detection and quantification of drusen and reticular pseudodrusen on optical coherence tomography
Methods - A DL framework was developed consisting of a classification model and an out-of-distribution (OOD) detection model for the identification of ungradable scans; a classification model to identify scans with drusen or RPD; and an image segmentation model to independently segment lesions as RPD or drusen.
