Latest AI and machine learning research in practice management for healthcare professionals.
The sense of smell remains poorly understood, especially in contrast to visual and auditory coding. ...
Explicit reconstruction constraints derived from the decoupled representation are further imposed to...
To comprehend language, the brain must navigate a high-dimensional semantic landscape while seamless...
Motivation: Robust annotation of Coding Sequences (CDS) is critical for downstream transcriptomics, ...
Adaptive behaviors depend on predicting outcomes from sensory evidence. Dopamine neurons in the vent...
Classic findings from neuropsychology and animal studies established the hippocampus as a key substr...
The scarcity of high-quality annotated medical data, particularly in mental health, poses a signific...
Linking neural activity to behavior typically involves identifying activity subspaces that encode ta...
Visual data compression is shifting from human-centered reconstruction to machine-oriented represent...
We present GLM-5V-Turbo, a step toward native foundation models for multimodal agents. As foundation...
The digitization of multi-domain retail billing documents remains a challenging task due to variabil...
Depthwise separable convolutional (DSConv) layers have been successfully applied to deep learning (D...
MedSafe-Dx (v0), introduces a new safety-focused benchmark for evaluating large language models in c...
Fundamental rate-distortion-perception (RDP) trade-offs arise in applications requiring maintained p...
Background: Sezary syndrome (SS) is an aggressive leukemic variant of cutaneous T-cell lymphoma (CTC...
Medical concept extraction from electronic health records underpins many downstream applications, ye...
Echocardiography is a widely used modality for cardiac assessment due to its non-invasive and cost-e...
Computer Use Agents (CUAs) fundamentally rely on graphical user interface (GUI) grounding to transla...
We present this as a negative result with an explanatory mechanism, not as a formal upper bound. P...
Traditional human vision-centric image compression methods are suboptimal for machine vision centric...
Objective: Behavioral and social factors (BSFs) substantially influence the risk, onset, and progres...