A new book by wealth mentor Tasha Batts is gaining attention for its application of neuroscience and identity research ...
A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...
A research team led by Hiroshima University and Tokyo University of Agriculture and Technology have proposed a neuroendocrine ...
Humans are social creatures. Behavior spreads through social networks, and being observed encourages consistency—as does ...
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Want to Change Someone’s Behavior? Understand How the Brain Builds Habits, According to Neuroscience
Want to change your behavior? How about your consumers' behavior? A new Georgetown study reveals how overlooked cues are the ...
The researchers behind the recent work, based in China, decided to implement something similar for an artificial skin that ...
This project implements ResNet-50, a deep convolutional neural network with 50 layers that uses residual connections to enable training of very deep networks. The architecture includes identity ...
In response to the growing threat of face‑swap deepfakes, we introduced RE‑Mark. This active zero-bit watermark embeds a compact neural identity signature directly within a facial image and later ...
This study offers a valuable methodological advance by introducing a gene panel selection approach that captures combinatorial specificity to define cell identity. The findings address key limitations ...
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