Bayesian inference is a statistical method of inductive reasoning based on the reassessment of competing hypotheses in the presence of new evidence. Conceptually similar to the scientific method ...

The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...

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).

据了解，“贝叶斯神经网络”的理论基础来自广义相对论和磁流体动力学，特别适合处理背景噪声大、数据不完整或者观测条件复杂的任务，能够从复杂的观测信号中准确地识别出黑洞物理参数的可信区间，在其帮助之下，科学家发现了银心黑洞有两个引人注目的特点。

在此基础上，再加上我们与银心黑洞的距离非常遥远（大约为2.6万光年），黑洞喷流中的高能带电粒子跨越如此漫长的空间距离后，其密度也会扩散至一个很低的水平，在地球磁场的保护之下，它们几乎不可能对我们构成任何威胁，所以我们不必对此太过担心。

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

人类因果概率推理的规范违反可通过贝叶斯不确定性模型（BUM）解释，该模型认为人们通过加权多个假设（包括非信息性基线模型）进行推理，导致条件独立性的破坏和系统性偏差，如马尔可夫违反和保守主义。 关于因果和概率推理的实证研究揭示了与规范原则 ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

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) ...