A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
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) ...
A generative advertising framework integrates diffusion models, multimodal learning, and brand style embeddings to automate creative ...
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 ...
The left panel depicts the Audio-Visual Feature Representation framework and the Contrastive-Generative Synchronization Training methodology. For generative synchronization, we design a Feature ...
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