It is argued that NeuroAI, neuroscience-informed artificial intelligence, has the potential to overcome limitations of current AI while deepening the authors' understanding of biological neural computation, and requires a new generation of researchers trained across the boundary between neuroscience and engineering.
A. Zador, J. Fellous, Terrence J. Sejnowski et al.· arXiv.org· 3 citations
Strong agreement between the predicted BP values and invasive, arterial-line BP measurements are demonstrated, supporting the feasibility of wearable, wireless, and cuffless blood pressure monitoring in high-acuity clinical settings.
B. Nnadi, S. Rapuri, C. Harris et al.· medRxiv· 0 citations
This work adopts a biologically plausible saliency-informed dropout technique as an explainable alternative to the unstructured standard random dropout approach and presents empirical results on regimes where such structured dynamic and static sparsities interact optimally to prune a ResNet model on the Imagenette data...
Shira Goldhaber-Gordon, A. Akwaboah, Aaron L. Sampson et al.· International Conference on...· 1 citation
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