Seonglae ChoTerm Embedding
단어의 사용 빈도도 power law를 따르기 때문에 데이터 상에서 균등하게 학습시키기는 어렵다
BTS나 뉴진스가 데이터의 대부분을 차지하지만, 나머지 사람들이 실제의 대부분인 것처럼
Word Embeddings
Word Distances
Neuron Activation in Left Prefrontal cortex respond to work such as AI Neuron Activation (actually word embedding in the paper)
Semantic encoding during language comprehension at single-cell resolution
Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns
Nature Communications - Here, using neural activity patterns in the inferior frontal gyrus and large language modeling embeddings, the authors provide evidence for a common neural code for language...
https://www.nature.com/articles/s41467-024-46631-y
Neuromorphic computing
Neuromorphic computing is an approach to computing that is inspired by the structure and function of the human brain.[1][2] A neuromorphic computer/chip is any device that uses physical artificial neurons to do computations.[3][4] In recent times, the term neuromorphic has been used to describe analog, digital, mixed-mode analog/digital VLSI, and software systems that implement models of neural systems (for perception, motor control, or multisensory integration). Recent advances have even discovered ways to mimic the human nervous system through liquid solutions of chemical systems.[5]
https://en.wikipedia.org/wiki/Neuromorphic_computing