A new study led by Dr. Jiang Yi from the Institute of Psychology of the Chinese Academy of Sciences has revealed the first ...
Reinforcement Learning, Explainable AI, Computational Psychiatry, Antidepressant Dose Optimization, Major Depressive Disorder, Treatment Personalization, Clinical Decision Support Share and Cite: de ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Why does stopping at a red light become automatic? New neuroscience shows how the cerebellum turns visual cues into fast, ...
A generative advertising framework integrates diffusion models, multimodal learning, and brand style embeddings to automate creative ...
LONDON -- Scottish artist Nnena Kalu has been awarded the Turner Prize for work that includes vivid abstract drawings and ...
Summary: A new brain decoding method called mind captioning can generate accurate text descriptions of what a person is seeing or recalling—without relying on the brain’s language system. Instead, it ...
Summary: Researchers discovered how the brain develops reliable visual processing once the eyes open. Early on, visual inputs and modular brain responses are mismatched, creating inconsistent patterns ...
I’ll never forget that day. After glancing at the grade on the last page, a student casually tossed his biology test into the recycling bin as he headed to his next class. I was shocked. Wasn’t he ...
Abstract: Person Re-identification (Re-ID) aims at accurately querying pedestrians across multiple non-overlapping cameras system, playing an essential role in computer vision applications. While ...
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