What is the neuropsychological basis for the brain's ever-changing contextualized goals? I explore this question from the perspective of the Affect Management Framework (AMF).
What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Clara Matos discusses the journey of shipping AI-powered healthcare products at Sword Health. She explains how to implement ...
We consider the usual proportional hazards model in the case where the baseline hazard, the covariate link, and the covariate coefficients are all unknown. Both the baseline hazard and the covariate ...
Learn more about eLife assessments Blood flow to the brain is a sensitive marker of neuronal activity as well as of a number of diseases, including stroke, tumours and neurodegenerative conditions.
Learn how prior probability informs economic theory and decision-making in Bayesian statistics. Understand its role before collecting new data.
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) ...
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